[1736 by GPT-5.6 Sol] Implement PR split analysis, candidate ranking, and validation planning

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AI Implementation Summary

Closes #1736

Branch: 1736/gpt-5.6-sol-implement-pr-split-analys-20260804-1107-7ld
Commits: ✅ Changes committed (d82ca2a)

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AI Processing Completed

Execution Details:

• Issue: Implement PR split analysis, candidate ranking, and validation planning #1736
• Repository: integry/propr
• Status: Success
• Execution Time: 19m 54s
• Tokens used: 3.1M tokens [3.06M input + 45.02K output]
• API cost: $3.57
• Timestamp: Aug 4, 2026, 11:28 AM UTC
• LLM Model: GPT-5.6 Sol

Summary:
Implemented GitHub issue #1736.

Key changes:

• Added typed PR snapshots, candidates, validation plans, and SplitPlan in types.ts.
• Added complete authenticated PR snapshot collection in prSnapshot.ts.
• Added repository-aware validation command inference.
• Added deterministic instruction, commit, module, and dependency-closed candidate construction and ranking.
• Rejects generated-only, secret-bearing, incomplete, whole-PR, and dependency-incomplete candidates.
• Added optional agent judgment with strict candidate/file validation and fail-closed malformed-response handling.
• Exported the new analysis API and added focused unit coverage.

Verification passed:

• Core build and typecheck
• Core lint
• Focused PR-split tests
• Full curated test:unit suite

Detailed Logs:

• Conversation: 92 messages
• Session: 019fcc76-40d0-7e93-aa9c-e5d7756f68b2

Log files stored at:

• conversation: /tmp/claude-logs/issue-1736-2026-08-04T11-28-00-823Z-conversation.json
• output: /tmp/claude-logs/issue-1736-2026-08-04T11-28-00-823Z-output.txt

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🔍 AI Code Review — codex:gpt-5.6-sol

Overall Evaluation

This PR establishes a thoughtful foundation for PR-split analysis: authenticated snapshot collection, typed plans, deterministic candidate generation, validation hints, strict optional-agent selection, and fail-closed model parsing. However, several core guarantees are stronger than the implementation can currently support. In particular, candidates can be labeled atomic, dependency-complete, and safe even when commit attribution or dependency analysis is incomplete. The PR needs significant rework before merge.

Findings

🔴 “Atomic commit” candidates do not preserve atomic commits — candidatePlanner.ts (commitSeeds, around lines 229–246) reduces a commit to filenames, while publication is expected to apply each file’s aggregate base-to-head PR diff. If multiple commits modify the same file, a candidate attributed to the first commit includes later commits’ changes too. Either reject commit seeds whose paths overlap other commits or preserve changes at commit/hunk granularity.

🔴 Incomplete patch heuristics are treated as proof of dependency completeness — candidatePlanner.ts (importDependencies and assessSafety, around lines 62–83 and 290–348) examines only GitHub’s per-file patch, which can be missing or truncated and does not contain the complete file. A missing patch merely adds a risk note while safeToCreatePr remains true. Such candidates should fail closed or require checkout-based dependency and validation analysis before publication.

🔴 Dependency detection covers only a narrow subset of supported languages — The import parser recognizes a few JavaScript-style relative imports, despite isImplementationSplitFile accepting Python, Go, Rust, Ruby, PHP, Java, Kotlin, C/C++, Swift, Scala, Vue, and Svelte. It also misses side-effect imports, re-exports, path aliases, JSON/assets, and many index/extension variants. Candidates in those ecosystems can consequently be declared safe with no meaningful dependency analysis.

🔴 Reverse dependencies are not considered — Graph edges only run from consumers to dependencies. Selecting a changed shared type, schema, or API contract alone is therefore considered safe even when other changed consumers contain required compatibility updates. This is especially dangerous for breaking contract changes; independent applicability must consider changed dependents or be established by validation.

🔴 Removed and renamed files bypass essential safety checks — PrSnapshotFile.status and previousFilename are not used by candidate construction or safety assessment. A deletion can be selected without the changed callers that stop referencing it, and a rename can omit required import updates. These statuses need explicit dependency handling.

🔴 Manifest and lockfile changes can be split apart — package.json and similar manifests are not connected to package-lock.json, pnpm-lock.yaml, Cargo.lock, or other lockfiles. For example, a dependency-changing package.json candidate can be marked safe while excluding its changed lockfile. Manifest/lockfile pairs should be modeled as mandatory companions.

🔴 Commit file lists are silently incomplete for ordinary GitHub responses — prSnapshot.ts (readCommitDetails, around lines 155–181) calls the commit-detail endpoint once without paginating its files collection. Large commits therefore yield incomplete “atomic” candidates. The PR-commit and PR-file endpoints also have GitHub server-side maximums that the local MAX_PAGES loop cannot overcome or detect, so oversized PRs need explicit rejection or an alternative comparison strategy.

🔴 Snapshot collection is not actually immutable or internally consistent — readSnapshot fetches metadata first and then independently fetches files, commits, and the diff. A force-push or new commit between those requests can produce a snapshot whose headSha does not correspond to its files or diff. Re-read and compare the head SHA after collection, retrying or failing on a mismatch.

🔴 Untrusted workflow text is promoted directly into executable commands — validationHints.ts (workflowCommands, around lines 49–69) accepts the complete value of any run: line containing a validation word. A PR can add run: npm test; <arbitrary command>, which is then exposed through ValidationPlan.commands for the later execution layer. The ${{ secrets. check does not make shell text safe. Workflow-derived values must remain display-only or be reduced to a strict allowlisted command representation.

🟡 Validation inference is not repository-aware in the common case — packageManager inspects only changed paths, so an unchanged pnpm-lock.yaml or yarn.lock is invisible and the plan defaults to npm. Maven, Gradle, Make, and package scripts are similarly detected only when their configuration files happen to be part of the selected scope.

🟡 TypeScript validation commands are invented without confirming scripts exist — Any selected TypeScript file produces npm run typecheck or its equivalent, even when no such package script exists. This also sets inferred: true and boosts the candidate’s ranking, conflating a language convention with a command known to work.

🟡 Package-script parsing is not scoped to the scripts object — changedPackageScripts matches any added or contextual JSON property named test, lint, build, and so on. A dependency or tool configuration with one of those keys can generate a nonexistent package-manager command.

🟡 Monorepo commands lack execution context — Validation hints carry no working directory or workspace/package identifier. A source file under packages/foo may receive a root-level npm test or npm run typecheck, which may validate the wrong project or fail entirely.

🟡 Candidate generation and planner prompts grow quadratically — buildSplitCandidates creates up to one seed per changed file and stores almost the entire PR in every candidate’s excludedScope; plannerPrompt then serializes those arrays for every safe candidate. Large PRs can consume substantial memory and produce enormous, costly model prompts. Candidate counts and prompt payloads should be bounded.

🟡 Snapshot commit enrichment is an avoidable serial N+1 operation — readCommitDetails performs one commit-detail request after another. Most real PR-commit responses omit files, so latency grows linearly with commit count. Use bounded concurrency and cache or redesign commit attribution around a more suitable API.

🟡 Test-to-implementation matching crosses module boundaries — testDependencies compares normalized basenames across the whole repository. Common names such as service.ts, index.ts, or utils.ts can connect a test to unrelated implementations in other packages, bloating or rejecting otherwise valid candidates.

🟡 Special-file and generated-file dependencies are over-connected — Every implementation in a commit is linked to every schema/type/migration in that commit, regardless of relevance. Generated companions are also matched globally by basename without considering directories. These false dependencies can turn a focused candidate into the whole PR and leave no usable split.

🟡 Instruction matching is vulnerable to noisy substring matches — General terms use text.includes, including two-character terms, and a matching commit message adds every file from that commit. Instructions such as “UI” or broad product terms can capture unrelated paths and inflate match percentages. Token boundaries and stronger per-file evidence would make this more predictable.

🟡 Secret detection is too narrow to support a safety guarantee — The scanner catches several common key formats but misses .npmrc, service-account files, generic tokens, passwords, JWTs, and secrets hidden in omitted/truncated patches. It is a useful warning heuristic, but safeToCreatePr should not imply comprehensive secret screening.

🟡 Candidate scoring ignores change size — A single file receives a reviewability bonus whether it changes two lines or twenty thousand. Additions/deletions are available in the snapshot and should influence focus and reviewability scoring.

🟡 The fetched unified diff is unused by analysis — prSnapshot.ts pays the cost of retrieving and storing unifiedDiff, but candidate planning relies only on per-file patches. Either use it to improve completeness/status handling or avoid the extra request and memory until publication requires it.

🟡 Tests do not cover the highest-risk behaviors — analysisPlanning.test.ts omits overlapping commits, real commit-detail pagination, head changes during collection, missing/truncated patches, renamed/deleted files, manifest-lockfile pairs, reverse dependencies, malicious workflow commands, monorepos, and large candidate sets. The snapshot fixture also unrealistically places files on the PR-commit listing response, bypassing the normal detail-fetch path.

🟢 Separate trusted command identifiers from discovered text — ValidationHint would be safer and more useful with fields such as working directory, confidence, executable status, and whether the source is trusted, rather than representing every discovery as a plain command string.

🟢 Make analysis objects immutable across the judge boundary — readonly SplitCandidate[] prevents array mutation but not mutation of candidate objects, nested arrays, or the snapshot. A custom judge can alter a candidate before selectedPlan consumes it. Deep readonly types, cloned inputs, or post-judgement safety recomputation would harden this seam.

🟢 Bound optional-judge output fields — reason has no length limit, so an agent can return arbitrarily large text that may later be persisted or displayed. Apply a modest length cap and normalize control characters.

✅ Model output is validated strictly and fails closed — parseSplitPlannerChoice rejects malformed JSON, unknown fields, unknown or unsafe candidate IDs, and mismatched file lists. This effectively prevents an optional planner from inventing scope.

✅ Deterministic ordering is stable and explainable — Candidate IDs, sorted paths, deduplication, scoring, ranking reasons, and tie-breaking make analysis reproducible and debuggable.

✅ The plan contract is explicit — SplitPlan clearly distinguishes selection, excluded scope, risks, validation hints, failure state, and source-diff preservation, which is a strong interface for a later publication layer.

✅ Snapshot normalization has good defensive checks — Required GitHub fields, numeric normalization, status normalization, request validation, and pagination loops are handled deliberately, even though the API caps and commit-file pagination still need attention.

✅ The new tests cover useful baseline behavior — Happy-path normalization, instruction prioritization, generated-only rejection, basic dependency closure, complete plan fields, and malformed planner responses all receive direct coverage.

Score

The architecture and fail-closed planner boundary are promising, but the current implementation can incorrectly certify incomplete or non-atomic candidates as safe, and its validation-command handling creates a downstream command-injection hazard. Those issues affect the central correctness and safety guarantees of the feature.

Score: 4/10

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✅ Applied the requested follow-up changes in commit 9e9df3e

Addressed 1 AI review comment (IDs: 5178422954)

Summary of Changes

Implemented the /fix follow-up without committing.

Key changes:

• Snapshot collection now verifies stable head SHAs, detects API caps/incomplete diffs, paginates commit files, uses bounded concurrency, and gathers complete file/config context.
• Candidate safety now rejects overlapping “atomic” commits, incomplete analysis, unsafe renames/deletions, missing reverse dependencies, and split manifest/lockfiles.
• Expanded dependency analysis across supported languages, path aliases, generated companions, and module-aware tests.
• Workflow shell text is display-only; executable validation hints require trusted, repository-aware commands with working directories.
• Bounded candidates/prompts and hardened the optional judge with immutable inputs, post-judgement safety checks, and normalized output.
• Added comprehensive regression coverage in analysisPlanning.test.ts.

Verification passed:

• Full test:unit suite
• PR-split tests: 19/19
• Root and @propr/core typechecks
• @propr/core lint
• git diff --check

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🔍 AI Code Review — codex:gpt-5.6-sol

Overall Evaluation

This PR establishes a thoughtful, strongly typed pipeline for collecting PR snapshots, constructing deterministic split candidates, inferring validation, and optionally using an agent for selection. The fail-closed planner design and test coverage are good, but dependency completeness and snapshot consistency are not yet reliable enough to authorize creating PRs. Significant rework is needed before merge.

Findings

🔴 Base-branch movement can produce a mixed snapshot — In prSnapshot.ts, readSnapshotAttempt() records both baseSha and headSha, but the final verification around lines 431–439 compares only the head SHA. If the base moves during collection while the head remains unchanged, contents fetched from the original baseSha can be combined with files/diff calculated against the updated PR. Verify both SHAs—and preferably counts—before accepting the snapshot.

🔴 Changed manifests and configuration are not dependencies of source files — candidatePlanner.ts pairs manifests with lockfiles, but never connects source code to a changed manifest or configuration. A source file importing a newly added npm dependency can therefore be selected without package.json or its lockfile; similarly, code using an alias introduced by a changed tsconfig.json can omit that config. Such candidates can still receive safeToCreatePr: true even though the resulting PR will not build.

🔴 Common valid imports escape dependency analysis — resolveChangedImport() and referencedSpecifiers() in candidatePlanner.ts miss important forms. For example, a TypeScript import "./dependency.js" does not resolve to a changed dependency.ts, common Python forms such as from . import models lose the imported module name, non-wildcard paths mappings are constructed incorrectly, and workspace/package-export imports are not resolved. These false negatives allow incomplete scopes to pass the safety gate.

🔴 The snapshot limits allow API-quota and memory exhaustion — prSnapshot.ts permits 3,000 files with up to 1 MB retained for each base and head version. A legal all-modified PR can cause roughly 6,000 content requests and retain about 6 GB before JavaScript string overhead. splitPlanner.ts then clones the snapshot once or twice more. Commit details and repository configuration add further calls, while assertUnifiedDiffCoverage() performs an expensive file-by-diff-line scan. Add aggregate request/byte/time budgets and avoid cloning or retaining all file contents.

🟡 The advertised retry misses common consistency failures — readSnapshot() retries only when an attempt successfully returns stable: false. If a force-push changes file or commit counts during collection, the length or diff-coverage checks throw immediately and bypass the second attempt. Consistency errors caused by movement should trigger the bounded retry.

🟡 The PR merge base is not represented — GitHub’s PR files/diff normally describe a merge-base comparison, while baseContent is fetched from the current base.sha. Once the base branch has advanced, that content may not be the old side of the displayed diff. Store the merge-base SHA or clearly separate current-base content from diff-preimage content.

🟡 Unified-diff “coverage” checks only file headers — assertUnifiedDiffCoverage() accepts a diff when each path appears somewhere, even if GitHub omitted or truncated hunks. That does not establish a complete source diff, despite PrSnapshot.unifiedDiff being exposed for later consumers. Completeness should come from a guaranteed source or be explicitly represented as uncertain.

🟡 Head-side reads always use the target repository namespace — enrichChangedFileContents(), readRepositoryFiles(), and commit-detail reads use request.owner/repo even after capturing sourceHeadRepository. This can degrade fork PRs when a head SHA is not resolvable through the target repository’s content/tree APIs. Prefer the source repository for head-side reads, with a deliberate fallback.

🟡 GitHub failures are swallowed too broadly — readRawFile() and readRepositoryFiles() convert every exception—including authentication errors, rate limiting, and transient server failures—into incomplete data. This hides the root cause and can continue consuming quota after a systemic failure. Only expected per-file conditions should be downgraded; operational failures should abort or retry.

🟡 Special-dependency token matching is highly overinclusive — specialDependencies() links files after one shared token of five characters. Common tokens such as export, interface, or changed can connect unrelated modules and collapse most of a PR into one rejected scope. Conversely, SPECIAL_DEPENDENCY does not recognize a nested plain src/foo/types.ts as special. Use language-aware references or much stronger token evidence.

🟡 Unrelated test-only changes are categorically rejected — assessSafety() rejects any selected test-only scope whenever the source PR contains any implementation file, even if that implementation belongs to another module and the dependency graph found no relationship. This prevents legitimate test-only splits; the rejection should be based on an identified companion, not repository-wide presence.

🟡 Candidate IDs are not guaranteed unique — safeIdPart() plus the per-base occurrence counter can collide. For example, sanitized bases foo, another spelling of foo, and a real foo-2 can produce duplicate final IDs. parseSplitPlannerChoice() then uses .find() and may select the wrong scope. Track final IDs globally or include a stable signature hash.

🟡 Candidate truncation is biased toward early files — buildSplitCandidates() processes instruction, the first 32 commits, the first 48 modules, then dependency seeds until reaching 128 candidates. In a large PR this leaves only about 47 dependency seeds, selected alphabetically, so later modules/files may never be considered regardless of quality. Rank or sample seeds before applying the cap.

🟡 “Atomic commit” remains attached after dependency expansion — A commit seed can acquire files from other commits through dependencyClosure(), while retaining kind atomic-commit, its score bonus, and only the original commit SHA. The resulting scope is no longer the atomic source commit described by its metadata.

🟡 Validation uses full-head configuration rather than candidate-effective configuration — inferValidationHints() reads repository configuration from the complete PR head even when a changed package.json, lockfile, or build config is excluded from the candidate. It can consequently infer a package manager or script that will not exist on the eventual split branch. For changed excluded configuration, use the base-side version.

🟡 Validation commands discard working directories — ValidationPlan.commands contains bare strings, while the repository-aware directory exists only in hints. Two packages can therefore yield indistinguishable duplicate commands such as pnpm run typecheck. Make executable validation entries structured objects containing both command and working directory.

🟡 Several inferred commands are not established by their markers — A build.gradle file does not guarantee ./gradlew exists, a composer.json does not guarantee a test script, and a Gemfile does not guarantee RSpec. Package-script names are also lowercased before invocation, although script names are case-sensitive. Inspect the relevant configuration before marking these commands executable.

🟡 “Executable” does not mean trusted — An allowlisted command such as npm test still indirectly runs arbitrary shell text from an untrusted, potentially changed package.json; language test commands likewise execute PR code. The later execution layer must sandbox every command and must not treat this flag as security approval.

🟡 Planner prompt bounds are bypassable — Although the direct instruction in plannerPrompt() is sliced, the instruction candidate’s summary retains the complete instruction and is serialized into the prompt. Commit titles are also unbounded. The exported planner accepts strings without applying MAX_SPLIT_INSTRUCTION_LENGTH, allowing excessive prompt and CPU consumption.

🟡 Optional judgement has no deadline — A custom judge that never resolves causes createSplitPlan() to hang indefinitely. Add a bounded timeout or cancellation signal, especially because this code is intended for a worker pipeline.

🟡 Valid empty commit messages break collection — normalizeCommit() applies requiredString() to the commit message, but Git permits empty commit messages. Such a commit should receive an empty/synthetic title rather than making the entire PR unsnapshotable.

🟢 Add targeted regression tests for the safety gaps — analysisPlanning.test.ts should cover new external dependencies, changed-but-excluded configuration, NodeNext .js specifiers resolving to .ts, Python relative imports, base movement, retry-on-count-mismatch, duplicate candidate IDs, aggregate resource limits, and candidate-effective validation configuration.

🟢 Separate language dependency adapters — candidatePlanner.ts is already 685 lines and combines candidate construction, parsers for many languages, graph logic, and policy. Isolating resolvers by ecosystem would make their supported syntax explicit and allow focused tests without further expanding the lint exception.

✅ Planner responses are tightly constrained — splitPlanner.ts restricts model output to known deterministic candidates, rejects unsupported fields and invented files, freezes judge inputs, revalidates after judgement, sanitizes reasons, and fails closed on malformed output.

✅ Snapshot collection includes several strong safeguards — Pagination, expected-count checks, head-stability verification, per-file completeness metadata, immutable SHA references, and bounded concurrency are all sound building blocks once aggregate limits and base consistency are addressed.

✅ Validation workflow text is correctly kept display-only — Arbitrary run: text from workflows is not placed in executable commands, and validation hints carry reasons, confidence, related files, and working directories.

✅ The tests cover meaningful behavior — The suite exercises pagination, moving heads, generated-only rejection, dependency companions, incomplete contents, rename/deletion handling, validation inference, judge isolation, prompt candidate bounds, and fail-closed model behavior.

Score

The implementation has strong structure and defensive intent, but the dependency graph can approve non-buildable splits and the snapshot pipeline has serious consistency and resource-bound risks. These affect the central safety contract rather than peripheral behavior.

Score: 4/10

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✅ Applied the requested follow-up changes in commit ba21361

Addressed 1 AI review comment (IDs: 5178821958)

Summary of Changes

Implemented the PR #1745 follow-up changes and left them uncommitted.

Key updates:

• Hardened snapshot consistency, merge-base representation, fork reads, retries, GitHub error handling, and aggregate request/byte/time budgets in prSnapshot.ts.
• Added ecosystem-specific import resolution, including NodeNext, Python relative imports, aliases, and workspace exports in dependencyResolvers.ts.
• Fixed manifest/config dependencies, candidate IDs, sampling bias, atomic-commit expansion, test-only scopes, and special-dependency matching.
• Made validation commands structured, working-directory-aware, candidate-effective, and explicitly sandbox-required.
• Bounded prompts/instructions and added judgement deadlines with cancellation signals.
• Expanded regression coverage to 32 focused PR-split tests.

Verification passed:

• Full test:unit suite
• Root TypeScript typecheck
• @propr/core lint with no warnings
• git diff --check

No commit or PR was created.

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🔍 AI Code Review — codex:gpt-5.6-sol

Overall Evaluation

This PR introduces a substantial PR-split analysis pipeline: authenticated snapshot collection, validation inference, dependency-aware candidate generation, deterministic ranking, and optional model selection. The defensive boundaries and test coverage are strong, but several core heuristics can mark incomplete or unrelated scopes as safe. It needs significant rework before merge.

Findings

🔴 File-level candidates cannot reliably isolate requested changes. SplitCandidate represents only includedFiles, while instructionSeed() matches any requested term anywhere in a file. If one file contains both authentication and unrelated UI hunks, the entire file is selected and described as the requested scope. No check detects mixed concerns within a file or fails when a clean source-diff-preserving split is impossible (candidatePlanner.ts, instructionSeed(), assessSafety()).

🔴 Import-alias analysis fails open on normal tsconfig JSONC. configuredImportAliases() catches parsing errors and silently returns no aliases. Inline comments and other valid JSONC syntax are not removed, so a common tsconfig.json can be complete but unparseable by this implementation. dependencyAnalysisRejections() only rejects unreadable files, not parse failures, allowing aliased consumers and dependencies to be separated and marked safe (dependencyResolvers.ts, configuredImportAliases()).

🔴 Several advertised language resolvers are not dependency-complete. For example, the C# adapter searches for import rather than using, Java wildcard imports do not resolve changed classes, Ruby local require calls are ignored unless they use require_relative, and Node package.json#imports mappings are unsupported. These are not surfaced as incomplete analysis, so coupled changes can become safeToCreatePr candidates (dependencyResolvers.ts, SPECIFIER_ADAPTERS, resolveChangedImport()).

🔴 Generated-only rejection misses supported lockfiles. isGeneratedSplitFile() omits files such as go.sum, uv.lock, Pipfile.lock, Package.resolved, and gradle.lockfile. A PR containing one of these plus an unrelated file can produce a safe, highly ranked lockfile-only candidate, contradicting the generated-only safety rule (candidateFileHeuristics.ts, LOCKFILE; candidatePlanner.ts, assessSafety()). Pipfile.lock is also absent from MANIFEST_LOCK_NAMES.

🟡 Incomplete files with non-null patches are treated as scannable. assessSafety() rejects only when both patch === null and content is incomplete. GitHub patches may themselves be truncated, so an oversized non-source file can pass using a partial patch, and isSecretBearingSplitFile() will scan only that partial text. The downstream-scanner warning is good, but the safety assessment should retain an explicit unknown/unscannable state (candidateFileHeuristics.ts, isSecretBearingSplitFile(); candidatePlanner.ts, unscannableFiles).

🟡 “Preserve source diff” is not substantiated by the plan. The snapshot records current-base contents while GitHub constructs the PR diff from a merge base, marks the unified diff incomplete, and the plan retains only paths plus preserveSourceDiff: true. Downstream publication must pin baseSha/headSha and reconstruct the exact source delta; otherwise base movement or full-file replacement can change the resulting diff (prSnapshot.ts, enrichChangedFileContents(); types.ts, SplitPlan).

🟡 Dependency edges are made unconditionally bidirectional. Every detected import forces both the dependency and all changed consumers into the same closure. This is conservative but frequently collapses independently valid preparatory changes into large scopes or the entire PR. Shared-token special-dependency matching and globally combined base/head alias configurations amplify these false positives (candidatePlanner.ts, addMandatoryCompanions(), specialDependencies()).

🟡 Bounded sampling can omit valid candidates entirely. Large PRs sample only 24 commit, 32 module, and 71 dependency seeds. A safe standalone or user-relevant scope outside those samples may never be constructed, even though candidate count remains below the hard maximum (candidatePlanner.ts, evenlySample(), buildSplitCandidates()).

🟡 Instruction matching measures term presence, not scope purity. A candidate can receive a 100% instruction score while most of its changed lines are unrelated. Matching is also restricted to the first 20,000 patch characters, which can miss the relevant hunk in a large file (candidatePlanner.ts, fileInstructionScore(), candidateInstructionScore()).

🟡 Prompt bounding can produce malformed JSON. plannerPrompt() serializes all options and then slices the JSON string at an arbitrary character boundary. The suffix can therefore follow an unterminated string or object, making the candidate evidence ambiguous to the model. Bound candidates or fields before serialization instead (splitPlanner.ts, plannerPrompt()).

🟡 The agent judge receives too little semantic evidence. The agent path sees filenames, counts, risk notes, commands, and scores, but no patches, PR body, dependency rationale, or full commit context. Candidate file lists are truncated at 80 entries. This limits the judge to mostly restating deterministic ranking rather than assessing cohesion (splitPlanner.ts, plannerPrompt(), requestJudgement()).

🟡 Untrusted PR text is embedded directly into model instructions. The PR title and requested text are placed in the prompt without explicit untrusted-data delimiters. Output validation restricts the result to safe candidates, which limits impact, but a malicious title can still steer selection away from the requester’s intended scope (splitPlanner.ts, plannerPrompt()).

🟡 Timeouts do not cancel the agent request. The custom judge receives an abort signal, but the agent.analyze() path does not. Promise.race() returns after the deadline while the underlying request may continue consuming resources or model budget (splitPlanner.ts, requestJudgement(), createSplitPlan()).

🟡 Three allowlisted package scripts are unreachable. SUPPORTED_PACKAGE_SCRIPTS includes build, check, and verify, but desired can contain only test and typecheck; the selection condition therefore never adds those three commands (validationHints.ts, javascriptHints()).

🟡 Monorepo validation inference stops at the nearest manifest. If a package manifest has no relevant script but the workspace root provides the canonical test/typecheck command, no fallback occurs. Package-manager selection can also be ambiguous when nested and ancestor lockfiles differ (validationHints.ts, nearestFile(), javascriptHints(), packageManager()).

🟡 The default request budget contradicts the stated 3,000-file support. The preflight estimate assumes two content requests per file, so with the default budget a PR of roughly 372 modified files is rejected before collection. It also overestimates added and removed files, which need only one side. Either advertise the practical limit or calculate requests from statuses after listing files (prSnapshot.ts, assertSnapshotListLimits()).

🟡 Retries retain discarded budget and cannot cancel sibling requests. A consistency retry reuses retained-byte and request counters from the discarded attempt. Additionally, when one branch of a concurrent collection fails, other requests can continue and consume the shared budget while the retry begins (prSnapshot.ts, budgetedRequest(), readSnapshotAttempt(), readSnapshot()).

🟡 Byte limits are enforced after responses are materialized. Large diff, file, or commit-detail responses are already in memory before retainText() checks them, and retained filenames, repository trees, metadata, and normalized objects are not counted. The limit is therefore not a complete memory-safety boundary (prSnapshot.ts, budgetedRequest(), retainText()).

🟡 Candidate construction contains potentially quadratic work. Test matching, generated companion matching, and special dependency comparison can all approach quadratic behavior; validation inference is then repeated for as many as 128 candidates. Raised snapshot request limits could make large PRs consume substantial worker CPU (candidatePlanner.ts, testDependencies(), specialDependencies(), generatedCompanions()).

🟡 Large repository trees fail all source candidates. Any truncated recursive tree causes every source-containing candidate to be rejected, even when the candidate uses only relative imports and its relevant configuration is available. Targeted ancestor/config discovery would retain fail-closed behavior without disabling the feature for large monorepos (candidatePlanner.ts, dependencyAnalysisRejections()).

🟡 Merge commits may be mislabeled as atomic. commitSeeds() records parent information but does not require a single parent. A merge commit with unique changed paths can receive the strong atomic-commit rank even though its GitHub file list is not necessarily an independently replayable unit (candidatePlanner.ts, commitSeeds()).

🟡 Python’s conventional test_*.py naming is not recognized. The test-path regex handles test directories and _test.* suffixes but not the standard test_foo.py prefix. Such files can be treated as implementation files, affecting dependency companionship, risk notes, and ranking (candidateFileHeuristics.ts, TEST_PATH).

🟢 Sanitize all user-facing planner strings consistently. Candidate summaries and failure/reason text can retain Unicode formatting characters such as bidi controls. Apply the same bounded normalization to instruction-derived summaries and displayed paths as is applied to model reasons.

🟢 Cache parsed repository configuration and validation context. Package manifests, alias rules, workspace packages, and repository overlays are repeatedly rebuilt. A snapshot-scoped analysis context would improve performance and make parse failures explicit.

🟢 Add adversarial regression tests. Coverage should include JSONC aliases, C# using, Java wildcard imports, mixed-concern hunks, omitted lockfile types, truncated non-source patches, malformed prompt boundaries, workspace-root scripts, and moving-PR cancellation behavior.

✅ Snapshot consistency checks are thoughtfully designed. Pagination, fork-aware reads, base/head/count verification, retries, and explicit resource ceilings provide a strong collection boundary.

✅ Model output is tightly constrained. Candidate IDs are unique, unsupported fields are rejected, included files must exactly match a deterministic candidate, judge inputs are frozen, and malformed output fails closed.

✅ Validation commands are handled defensively. Workflow shell text remains display-only, executable commands are constructed from allowlisted conventions, working directories are explicit, and every command requires isolation.

✅ The test suite is substantial and well organized. It covers moving snapshots, pagination, budgets, dependency closure, deterministic ranking, validation inference, response mutation, malformed choices, candidate bounds, and judgement deadlines.

Score

The implementation has a strong defensive foundation and unusually good tests, but its central safety decision remains unsound for mixed-file changes, normal alias configurations, several supported languages, and multiple lockfile types.

Score: 4/10

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[propr-dev]

✅ Applied the requested follow-up changes in commit 4c4a295

Addressed 1 AI review comment (IDs: 5179370966)

Summary of Changes

Implemented the PR #1745 follow-up fixes without committing.

Highlights:

• Fail-closed mixed-hunk, incomplete-content, generated-only, and dependency analysis.
• JSONC aliases plus C#, Java, Ruby, and Node imports support.
• Directed dependency closures and broader candidate construction.
• Immutable merge-base/head diff provenance.
• Valid bounded prompts with richer evidence and untrusted-data isolation.
• Real agent/process cancellation on planner timeout.
• Workspace validation fallback and all allowlisted scripts.
• Snapshot retry, request-budget, cancellation, and retained-memory improvements.
• Expanded adversarial regressions in analysisPlanning.test.ts.

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• 49 focused split-planning tests
• 6 process cancellation/partial-execution tests
• Full npm run test:unit
• git diff --check

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[integry]

the PR splitting should be purely LLM driven, not deterministic

[propr-dev]

✅ Applied the requested follow-up changes in commit d651e19

Summary of Changes

Implemented the follow-up without committing.

• PR split scope is now authored directly by the LLM from full PR evidence.
• Removed deterministic candidate generation, ranking, and dependency-closure modules.
• No-LLM execution fails closed.
• Deterministic logic is limited to validating the LLM response and safety guardrails.
• Updated planner types, exports, and tests.

Key files: splitPlanner.ts, splitSafety.ts

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/root/actions-runner-propr/_work/propr/propr/packages/core/src/agents/impl/OpenCodeAgent.ts
  123:5  warning  Async method 'analyze' has a complexity of 21. Maximum allowed is 20  complexity

/root/actions-runner-propr/_work/propr/propr/packages/core/src/claude/docker/dockerExecutor.ts
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  426:1   warning  File has too many lines (424). Maximum allowed is 400   max-lines

/root/actions-runner-propr/_work/propr/propr/packages/core/src/services/prSplit/prSnapshot.ts
  257:1  warning  Function 'patchReconstructsHead' has a complexity of 23. Maximum allowed is 20  complexity

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✅ Applied the requested follow-up changes in commit b908ae5

Summary of Changes

Resolved the remaining Core Package lint warnings without changing behavior:

• Extracted OpenCode analysis prompt construction.
• Extracted Docker process spawning/setup.
• Split patch-hunk reconstruction into a focused helper.

Changed files:

• OpenCodeAgent.ts
• dockerExecutor.ts
• prSnapshot.ts

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/root/actions-runner-propr/_work/propr/propr/packages/core/src/agents/impl/OpenCodeAgent.ts
  123:5  warning  Async method 'analyze' has a complexity of 21. Maximum allowed is 20  complexity

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  236:42  warning  Arrow function has a complexity of 21. Maximum allowed is 20  complexity

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[propr-dev]

✅ Applied the requested follow-up changes in commit 621e5c3

Summary of Changes

Resolved all three complexity warnings with behavior-preserving helper extractions in:

• OpenCodeAgent.ts
• dockerExecutor.ts
• prSnapshot.ts

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🔍 AI Code Review — codex:gpt-5.6-sol

Overall Evaluation

This PR introduces an LLM-driven PR-splitting planner, immutable GitHub snapshots, validation-command inference, safety checks, and cancellation propagation. The design is thoughtful and extensively tested, but two correctness/security problems—secret-bearing evidence being sent to the LLM and unsafe merge-base fallback—are merge blockers. The PR needs significant rework before merging, and the mandatory lint check also remains failing.

Findings

🔴 Secret detection occurs after potentially sensitive data is sent to the LLM — plannerPrompt() in packages/core/src/services/prSplit/splitPlanner.ts includes excerpts from every changed file, plus the PR title and body. safetyRejection() only invokes isSecretBearingSplitFile() after the model has responded and only for selected files. Consequently, an accidentally committed .env, private key, access token, or secret in an unselected file may already have been transmitted externally. Secret-bearing paths and content need to be rejected or redacted before prompt construction.

🔴 Missing merge-base fallback can construct the wrong source delta — readMergeBaseSha() in packages/core/src/services/prSplit/prSnapshot.ts converts 404, 409, and 422 comparison failures to null, after which enrichChangedFileContents() uses the current baseSha. If the target branch advanced after the PR branched, comparing its current tip to the head can include reversions of upstream changes rather than the PR’s actual merge-base-to-head delta. The outer consistency handler intended to retry 409/422 responses never sees them because they are swallowed. A missing merge base should fail closed or use another authoritative merge-base source.

🟡 The required lint check is still failing — The current CI report identifies complexity warnings in OpenCodeAgent.analyze() (packages/core/src/agents/impl/OpenCodeAgent.ts:123), the executeDockerCommand() callback (packages/core/src/claude/docker/dockerExecutor.ts:236), and patchReconstructsHead() (packages/core/src/services/prSplit/prSnapshot.ts:257). Because lint runs with --max-warnings 0, this PR cannot merge until those functions are refactored or narrowly justified.

🟡 Abort completion does not guarantee the Docker container has stopped — In executeDockerCommand() around packages/core/src/claude/docker/dockerExecutor.ts:280, the signal handler schedules stopDockerContainer() without awaiting it, immediately terminates the Docker CLI, and rejects once the child closes. If stopping fails, there is no container-kill fallback. A pre-aborted signal is also checked only after spawning, which can briefly start or orphan a named container. Cancellation should resolve only after confirmed cleanup, with a force-kill fallback.

🟡 Incomplete repository discovery can still produce high-confidence executable validation plans — inferValidationHints() in packages/core/src/services/prSplit/validationHints.ts does not downgrade or annotate inferred commands when repositoryTreeComplete is false or relevant configuration contents are unavailable. A missing nearer manifest or lockfile can make the code select an incorrect root script, package manager, or working directory while still setting inferred: true. Incompleteness should be reflected in confidence, explanation, and plan risk notes.

🟡 The hard 30-second planner ceiling is likely too short for production-sized prompts — MAX_JUDGEMENT_TIMEOUT_MS in splitPlanner.ts includes agent-container startup and inference for prompts as large as 120,000 characters. Valid plans may routinely fail closed during cold starts or slower model responses. The upper bound should remain bounded but be operationally configurable and sized using real latency measurements.

🟡 Production agents receive only the first 2,000 characters of an allowed 8,000-character instruction — createSplitPlan() preserves up to MAX_SPLIT_INSTRUCTION_LENGTH, while promptPrefix() truncates requestedInstruction to MAX_PROMPT_INSTRUCTION_LENGTH (2,000). A custom judge sees the longer instruction separately, but an agent only receives the prompt, producing inconsistent behavior and silently dropping user constraints.

🟡 Planner prompt allocation can discard the most useful context or fail on snapshots the collector accepts — plannerPrompt() reserves no explicit space for commit descriptions or repository configuration before adding per-file evidence. Large manifests can consume the entire 120,000-character budget, omit all repository context, or fail outright even though snapshot collection supports up to 3,000 files. Consider explicit per-section budgets and an advertised planner file-count limit.

🟡 A valid “cannot split” decision is represented as a planner failure — When canSplit is false, createSplitPlan() calls failedPlan(), which sets selectionReason to “LLM split planning failed closed.” This conflates a successful model judgement with malformed output, timeout, or operational failure and could trigger incorrect retries or metrics. It also discards the model’s riskNotes. These outcomes should be represented distinctly.

🟡 Snapshot verification does not verify source-head repository identity or availability — The final metadata read in readSnapshotAttemptBody() compares SHAs and counts but ignores verification.head.repo. If a fork disappears or changes availability during collection, the snapshot can retain the initially non-null repository and later mark a plan safe even though its headRepository is no longer usable.

🟡 The retained-byte limit does not cap peak response memory — budgetedRequest() fully materializes GitHub responses before retainText() or retainBytes() accounts for them. Large file lists, diffs, and recursive trees can therefore exceed the intended memory ceiling transiently. The tree is additionally traversed and retained before its aggregate size is rejected.

🟡 The new abort regression test is absent from the explicit unit-test command — test/partialExecution.test.ts contains the cancellation test, but package.json adds only test/prSplit/analysisPlanning.test.ts to test:unit. Unless another required CI job executes the top-level wildcard suite, the behavior most likely to regress is not protected by the primary unit command.

🟢 Patch completeness validation could be stricter — patchReconstructsHead() parses the new-line count but ignores the new hunk start coordinate and has limited handling for non-textual Git metadata. Although patchComplete is advisory, validating both coordinates would avoid falsely labeling malformed patches complete.

🟢 Exact file preservation must remain a hard publication-layer requirement — The snapshot represents contents as strings and does not retain Git tree mode/type information needed for executable-bit changes, symlinks, or binary fidelity. sourceDiff provides enough immutable coordinates for a publisher to fetch exact Git objects, but the later layer must not reconstruct solely from baseContent and headContent.

🟢 Add adversarial integration coverage around the critical boundaries — Useful missing cases include secrets appearing in unselected files, unavailable merge bases after the base branch advances, a pre-aborted Docker signal, container-stop failure, an incomplete repository tree with nested manifests, and source-fork deletion between metadata reads.

✅ The split scope is genuinely model-authored — The planner provides the model with evidence and validates its exact paths without reintroducing deterministic candidates, scoring, or dependency expansion. This directly addresses the maintainer’s request that splitting be LLM-driven.

✅ The planner boundary fails closed and validates output rigorously — Unknown fields, duplicate paths, invented paths, whole-PR selections, malformed JSON, timeouts, unavailable contents, generated-only scopes, and secret-bearing selected files are rejected. Output text is normalized and bounded, and the snapshot passed to custom judges is deeply frozen.

✅ Snapshot collection has strong defensive engineering — Pagination, immutable SHA reads, concurrency bounds, retry-on-movement behavior, request cancellation, file/commit caps, and resource ceilings are all substantial improvements over relying on a single potentially truncated PR diff.

✅ Validation commands are constructed rather than copied from untrusted shell text — Workflow commands remain display-only, executable commands are allowlisted, repository-aware working directories are preserved, and every command is explicitly marked as requiring sandbox execution.

✅ Test coverage is broad for the newly introduced planning behavior — The tests cover snapshot movement, pagination, budgets, cancellation, effective split configuration, malicious workflow commands, strict LLM response validation, prompt bounds, and model-authored scopes.

Score

The architecture and defensive parsing are strong, but confidential-data exposure, unsafe merge-base fallback, incomplete cancellation guarantees, and failing mandatory lint prevent approval.

Score: 5/10

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[propr-dev]

✅ Applied the requested follow-up changes in commit dab3c22

Addressed 1 AI review comment (IDs: 5180263543)

Summary of Changes

Implemented all review follow-ups without committing.

Key changes:

• Blocked secret-bearing paths/content before any LLM invocation.
• Made authoritative merge-base resolution mandatory and reverified source-fork identity.
• Added bounded response streaming/memory accounting.
• Improved planner budgets, configurable timeout, full instruction delivery, and distinct no_split outcomes.
• Downgraded validation confidence for incomplete repository discovery.
• Awaited Docker cleanup with force-kill fallback and pre-abort handling.
• Added adversarial regression tests and included cancellation tests in test:unit.
• Resolved mandatory lint warnings.

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🔍 AI Code Review — codex:gpt-5.6-sol

Overall Evaluation

This PR adds a substantial PR-splitting analysis layer: immutable GitHub snapshots, LLM-authored file scopes, validation-command inference, secret/generated-file guardrails, and abort propagation into agent containers. The architecture and tests are thoughtful, but the planner currently sends attacker-controlled PR evidence to fully agentic containers that retain command execution, credentials, writable mounts, and network access. That security boundary, plus several correctness gaps, means the PR needs significant rework before merge.

Findings

🔴 Critical — Prompt injection can reach privileged agent tools and credentials (splitPlanner.ts, requestJudgement; CodexAgent.ts, analyze/buildDockerArgs; AntigravityAgent.ts, analyze/buildDockerArgs). PR titles, bodies, patches, commit messages, and file contents are attacker-controlled. Although the prompt tells the model to ignore embedded instructions, Codex still runs with --dangerously-bypass-approvals-and-sandbox, network access, GH_TOKEN/GITHUB_TOKEN, and writable config and /tmp/git-processor mounts; Antigravity similarly uses --dangerously-skip-permissions. Prompt text is not an enforceable security boundary, so a malicious PR could induce command execution, credential exfiltration, or modification of shared state. The split planner needs a genuinely tool-free model invocation, or an enforced environment with no shell/tools, no repository token, isolated read-only state, and tightly constrained networking.

🔴 Critical — Renames from secret-bearing paths bypass path-based protection (splitSafety.ts:29-45, splitPlanner.ts, promptSafetyRejection). isSecretBearingSplitFile checks only file.filename, not previousFilename. A rename from .env, credentials.json, or a private-key path to an innocuous name therefore sends the old contents and previousPath to the planner unless the heuristic content regex happens to recognize a credential. Apply SECRET_PATH and the template exceptions to both current and previous paths.

🟡 Warning — The original snapshot remains mutable across the LLM await (splitPlanner.ts:529-627). Only the copy passed to judge is frozen; prompt construction, response validation, safety checks, and final sourceDiff continue using the caller-owned snapshot. A caller—or an injected judge retaining another reference—can change paths or SHAs while judgment is pending, producing a safeToCreatePr plan whose immutable coordinates differ from the evidence judged by the model. Create one frozen copy before preflight and use it throughout the entire operation.

🟡 Warning — The generated-only veto contradicts the explicit “purely LLM driven” requirement (splitPlanner.ts:478-500, splitSafety.ts). Rejecting a model-selected scope solely because every path matches a generated, snapshot, vendor, or lockfile heuristic is a deterministic scope decision, not a security invariant. It can reject legitimate lockfile, snapshot, generated-client, or vendored-source review units. Keep this as model guidance or a risk note unless the product requirement explicitly defines it as publication policy.

🟡 Warning — Successful cancellation is commonly reported as unconfirmed cleanup (dockerExecutor.ts:82-137, 238-251, 385-397). After an initial stop succeeds, completeContainerCleanup checks again. With docker run --rm, the container will often have disappeared; docker inspect then throws, and stopDockerContainer attempts stop and kill, ultimately returning failure. This causes misleading ExecutionAbortedError messages despite successful cleanup. Treat Docker’s “no such container/object” result as successful absence and add a regression test for it.

🟡 Warning — Docker cleanup blocks the worker event loop (dockerExecutor.ts:82-137, 225-270). stopDockerContainer is declared async but uses synchronous Docker calls with timeouts of up to 15 seconds. Planner timeout and abort handling can therefore stall unrelated jobs, timers, and cancellation handling in the same worker. Use asynchronous execFile calls and await them.

🟡 Warning — Binary, submodule, and large-file scopes cannot be selected (prSnapshot.ts:712-745, splitPlanner.ts:478-490). readRawFile marks non-string responses and files over 1 MB incomplete, while safetyRejection rejects every selected file lacking complete base and head text. This conflicts with SplitPlan.preserveSourceDiff, whose documentation correctly says publication should fetch exact Git objects and snapshot strings are only analysis evidence. A coherent scope containing an image, submodule, large source file, or other binary artifact will always fail even though it can be reproduced safely from Git.

🟡 Warning — Change evidence is strongly biased toward files late in GitHub’s ordering (splitPlanner.ts:300-334). The per-file budget subtracts overhead from budget / remainingFiles; when that falls below MIN_CHANGE_EVIDENCE_PER_FILE, early files get no excerpt. As remainingFiles decreases, later files begin receiving evidence. Large PRs can therefore give the LLM detailed patches only for the tail of the file list, undermining scope quality. Precompute evidence-bearing files and allocate a stable per-file quota or explicitly distribute excerpts across the full list.

🟡 Warning — Prompt construction performs unbounded normalization before truncation (splitPlanner.ts:48-55, 270-334). sanitizedMultilineEvidence normalizes complete patches and file contents before boundedEvidence truncates them, and deeplyFrozenCopy duplicates the full snapshot—including the unused unified diff. Large or compatibility-expanding Unicode inputs can cause avoidable memory and CPU amplification. Bound raw input before expensive normalization and expose only the planner-required snapshot fields to the judge.

🟡 Warning — GitHub API behavior is mocked too loosely for key production paths (prSnapshot.ts:770-880; analysisPlanning.test.ts). Tests accept passing a commit SHA directly as tree_sha, comparing a target repository against a raw fork SHA, and returning all raw contents as strings. These mocks do not validate GitHub’s real tree-object resolution, cross-fork comparison rules, binary response types, or installation permissions. Add contract/integration coverage and, preferably, resolve the actual head commit’s tree SHA explicitly.

🟡 Warning — Fixed analysis workspaces create concurrency and cross-run contamination risks (CodexAgent.ts:255-278; ClaudeAgent.ts:185; AntigravityAgent.ts:299). Codex, Claude, and Antigravity reuse fixed /tmp/*-analysis directories, unlike OpenCode’s per-run temporary workspace. Concurrent split judgments can share files and Git state, and a misbehaving agent can leave data visible to later runs. Allocate a unique workspace per analysis and remove it in finally.

🟡 Warning — Planner timeout input is not runtime-validated (splitPlanner.ts:577-608). judgementTimeoutMs: NaN produces NaN through Math.min/Math.max, causing Node to schedule an effectively immediate timeout and pass an invalid timeout to the agent. Validate that the option is a positive finite safe integer before using it.

🟢 Suggestion — Sanitized required fields can become empty (splitPlanner.ts:64-79). requiredPlannerText validates the original value before removing control and format characters. A response such as "\u0000" passes the initial check but becomes an empty summary or reason. Validate the sanitized result as well.

🟢 Suggestion — Harden Docker identifiers against option injection (dockerExecutor.ts:95-132). Moving from shell interpolation to execFileSync is a major improvement, but an identifier beginning with - could still be interpreted as a Docker option by exported callers. Validate container IDs/names or insert -- before the identifier where supported.

🟢 Suggestion — Prioritize configuration relevant to changed files (prSnapshot.ts:770-825). Taking the first 500 sorted repository configuration paths can omit the nearest manifest in a large monorepo while spending requests on unrelated packages. Prioritizing ancestors of changed paths would improve both validation inference and planner context without introducing deterministic split candidates.

✅ Positive — LLM scope authorship is cleanly separated from structural validation (splitPlanner.ts). The response parser enforces exact changed paths, rejects invented and duplicate files, distinguishes no_split from operational failure, and no longer presents deterministic candidates or dependency rankings to the model.

✅ Positive — Snapshot consistency handling is unusually thorough (prSnapshot.ts). Capturing immutable SHAs, resolving a merge base, paginating file and commit details, rechecking the PR, retrying moving snapshots, and aborting sibling requests provide a strong foundation.

✅ Positive — Validation inference treats discovered repository code as untrusted (validationHints.ts). Workflow shell text remains display-only, executable commands are constructed from an allowlist, working directories are explicit, and every command is marked as requiring sandboxing.

✅ Positive — Cancellation and response-boundary tests cover important failure paths (partialExecution.test.ts, analysisPlanning.test.ts). Already-aborted signals, active process termination, planner deadlines, malformed model output, secret rejection, prompt bounds, moving PRs, and resource budgets all receive focused coverage.

✅ Positive — Docker command construction no longer uses shell interpolation (dockerExecutor.ts:82-137). Switching stop/inspect/kill operations to argument arrays removes the prior direct shell-injection risk.

Score

The core design, fail-closed behavior, and test coverage are strong, but the untrusted-prompt-to-privileged-agent path is a merge-blocking security issue, and several edge cases currently reject or misrepresent valid split operations.

Score: 4/10

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