Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification.

Apache-2.0Auto-check: notesDevelopment

Install Fix

skills CLI
$ npx skills add closedloop-ai/claude-plugins --skill fix -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install closedloop-ai/claude-plugins fix --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/code-review/skills/fix .claude/skills/fix && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fix
GitHub stars
122
Token cost
~4.7k tokens
SKILL.md length
1,679 words
Files
11
Skills in repo
43
Repo updated
First seen
Licence
Apache-2.0

At a glance

Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification.

  • Works in 6 steps: Parse Arguments and Load Findings → Categorize and Print Dispatch Plan → Dispatch and Apply Fixes → …
  • Tasks that involve Code review
  • SKILL.md covers Arguments, Step 1: Parse Arguments and…, Step 2: Categorize and Print… and Step 3: Dispatch and Apply Fixes, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fix is an agent skill from closedloop-ai/claude-plugins. Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files (for example `templates/_generic.md`, `templates/companion_change.md` and `templates/coverage_gap.md`).

It sits in Development, covering Code review. The repository describes itself as: Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/fix”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Parse Arguments and Load Findings
  2. Categorize and Print Dispatch Plan
  3. Dispatch and Apply Fixes
  4. Manual-Action Report
  5. Run Project Verification
  6. Summary

What it can do on your machine

Read from SKILL.md and the folder at commit 0e20ac0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json, bash and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fix loads about 4.7k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 1,679 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:106
    **manual-surface** | Never auto-modify (.env, credentials, .pem). Producer is `_check_sensitive_files`. |

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from closedloop-ai/claude-plugins at commit 0e20ac0, republished under its Apache-2.0 licence (© closedloop-ai). 1,679 words, ~4,732 tokens.

Download SKILL.mdSave it as .claude/skills/fix/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
fix
description
Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification.
argument-hint
<cr-dir> [--include-medium] [--include-tentative] [--include-justified] [--dry-run | --apply] [--category-only <name>] [--skip-verification]

Fix Code Review Findings

Category-dispatch fix flow for findings from a prior code review. Each finding is routed to one of four buckets based on its category/subcategory: auto-fix, callsite-fix, specialized-fix, or manual-surface. Injection attempts, sensitive-file changes, and coverage gaps never auto-apply — they surface in a manual-action report instead.

The caller controls re-review cycles.

Arguments

$ARGUMENTS


Step 1: Parse Arguments and Load Findings

json
TodoWrite([
  {"content": "Parse arguments and load findings", "status": "in_progress", "activeForm": "Parsing arguments"},
  {"content": "Categorize findings and print dispatch plan", "status": "pending", "activeForm": "Categorizing findings"},
  {"content": "Apply fixes per dispatch bucket", "status": "pending", "activeForm": "Applying fixes"},
  {"content": "Print manual-action report", "status": "pending", "activeForm": "Printing manual-action report"},
  {"content": "Run project verification", "status": "pending", "activeForm": "Running verification"},
  {"content": "Print summary", "status": "pending", "activeForm": "Printing summary"}
])
Parse flags

Extract from $ARGUMENTS:

FlagDefaultEffect
<CR_DIR> (positional)auto-discoverCode-review session directory
--include-mediumoffInclude MEDIUM findings (default: BLOCKING/HIGH only)
--include-tentativeoffShow TENTATIVE in manual-surface report (never auto-fixes)
--include-justifiedoffShow JUSTIFIED-VALID in manual-surface report
--dry-runoffPrint dispatch plan and manual-action report; apply nothing
--applyrequired in non-TTYRequired in non-interactive mode for code modification
--category-only <name>unsetRestrict dispatch to a single category (e.g., --category-only Correctness)
--skip-verificationoffSkip the final code:build-validator step

--dry-run and --apply are mutually exclusive. Both unset in non-interactive (no TTY) → print plan, exit without applying.

Resolve CR_DIR

CR_DIR missing: auto-discover via ls -td .closedloop-ai/code-review/cr-* | head -1. No directories found → error "No code review session found. Run a code review first." → exit 1.

Load review envelope

Read <CR_DIR>/review_result.json (canonical envelope per PLN-719). There is no legacy fallback — zero-release backward compat per PRD-409. File missing → error "No code review output found in CR_DIR. Run a code review first." → exit 1.

Findings live in:

BucketWhat it containsDefault action
envelope.verified[]CONFIRMED + DOWNGRADE + TENTATIVE + RE_ASSERTED + JUSTIFIED-INVALIDfilter into dispatch
envelope.justified[]JUSTIFIED-VALID (author defended, verifier confirmed)exclude unless --include-justified (manual-surface only)
envelope.rejected[]REJECTED by verifieralways exclude
envelope.pending_verification[]Verifier didn't run on this finding (verifier failed or was deferred past budget)include if severity matches; always manual-surface with the pending_verification.md template — /fix does NOT re-implement the verifier
envelope.coverage_gaps[]System-scoped coverage findingsalways include if severity matches; manual-surface bucket
Apply severity + verdict filter

The candidate set is built per flag state:

  • always included: envelope.verified[], envelope.pending_verification[], envelope.coverage_gaps[]
  • included only when --include-justified is set: envelope.justified[] (rendered manual-surface only; a JUSTIFIED-VALID verdict means the author defended the finding and the verifier confirmed the defense, so it never opts into auto-fix even if the operator wants visibility)

For each candidate finding:

sev = finding.get("verifier_severity") or finding.get("severity")
include = (sev in {"BLOCKING", "HIGH"}) or (sev == "MEDIUM" and --include-medium)

Exclude if verifier_verdict == "TENTATIVE" unless --include-tentative (TENTATIVE → manual-surface only).

Trust the envelope's verdict state. Findings in verified[] were already audited upstream by the verifier (PLN-722); /fix does not re-run a second verification pass on them — that was the v2.12.x design and is removed in this revision. Findings in pending_verification[] are routed to manual-surface with a pending_verification.md template so the operator can decide whether to re-run the review, --re-assert, or fix by hand; /fix does not have, and should not have, its own parallel implementation of the verifier.

If --category-only <name> set, filter to that category only.

If no findings remain → print "No actionable findings. Review complete." → mark all todos completed → exit 0.


Step 2: Categorize and Print Dispatch Plan

For each surviving finding, look up its dispatch bucket using the table below. Subcategory wins over category when both apply.

Dispatch Table
CategorySubcategoryBucketNotes
Correctness—auto-fixDirect code edit at anchor line
Code Quality—auto-fixDRY / maintainability — auto-fix at anchor
Documentation—auto-fixEdit cited file:line
Security—auto-fixSame flow as Correctness
Hygiene / Repo Hygieneci_artifactsauto-fixDelete or gitignore. Only auto-fix when the producer emits this exact subcategory — see _check_ci_artifacts in code_review_helpers.py.
Hygiene / Repo Hygienepath_leakageauto-fixReplace path with env var / config reference. Only auto-fix when the producer emits this exact subcategory — see _check_path_leakage.
Hygiene / Repo Hygienegitignore_driftauto-fixAdd gitignore entry. Only auto-fix when the producer emits this exact subcategory — see _check_gitignore_drift.
Hygiene / Repo Hygienesensitive_filesmanual-surfaceNever auto-modify (.env, credentials, .pem). Producer is _check_sensitive_files.
Hygiene / Repo Hygiene(other / unset / unrecognized)manual-surfaceFail-safe default: any Hygiene finding without a recognized subcategory routes to manual-surface. Prevents a hygiene producer that forgets to set subcategory (or a future producer that emits a subcategory we haven't routed yet) from silently falling into auto-fix on a sensitive file.
TestQualitymissing-coveragemanual-surfaceSpecialized-fix flow (test-engineer) is deferred to PLN-723 ship
TestQualityweak-assertionmanual-surfaceDeferred to PLN-723
TestQualitymock-faithfulnessmanual-surfaceDeferred to PLN-723
TestQualitymissing-edge-casemanual-surfaceDeferred to PLN-723
TestQualitybug-lockingmanual-surfaceNever auto-fix even after PLN-723
TestQualitytest-deletionmanual-surfaceNever auto-fix even after PLN-723
ImpactAnalysis(any)manual-surfaceCallsite-fix flow is deferred to PLN-726 ship
CompanionChange—manual-surfaceCompanion content is context-dependent
Coverage(any system_marker)manual-surfaceRe-run-or-acknowledge meta-action
InjectionAttempt—manual-surfacePR-author-controlled text — never code-edit

Drift-protection rule (applies to every bucket that would code-edit): before applying ANY auto-fix, re-read <finding.file> and search for <finding.code_snippet> (or a normalized prefix when the snippet is multi-line) within ±3 of <finding.line>. If not found, emit STALE_FINDING, skip the fix, route to manual-surface bucket with a code_snippet has drifted from cited location note.

Print plan
Fix Dispatch Plan
─────────────────
Auto-fix:        N findings  (breakdown by category)
Callsite-fix:    N findings  (deferred — surfaced as manual)  [appears only if PLN-726 not yet shipped]
Specialized:     N findings  (deferred — surfaced as manual)  [appears only if PLN-723 not yet shipped]
Manual surface:  N findings  (breakdown by category/subcategory)

Total auto-action: N findings.
Total requiring human action: N findings (surfaced in final report).

Interactive mode → Y/N prompt required.
Non-interactive → requires --apply to modify code; --dry-run for explicit no-op.

If --dry-run → render the manual-action report (Step 4) immediately, then exit 0.

If non-interactive and no --apply → render manual-action report, print "Non-interactive run without --apply — dispatch plan shown above; no fixes applied.", exit 0.

Interactive mode: prompt Proceed? [y/N] with no timeout (the prior auto-yes-after-5s behavior is removed). Default N.


Step 3: Dispatch and Apply Fixes

3a. Auto-fix bucket

Group surviving auto-fix findings by file. Apply sequentially within file (later fixes see earlier results); files run sequentially overall to keep the run-loop reproducible.

For each finding, perform the mandatory drift check first.

Empty-snippet guard (REQUIRED — applied before the grep). If finding.code_snippet is empty or whitespace-only, the grep pattern below would degenerate to grep -Fn "" which matches every line of the file and produces a trivially-true drift check. Hygiene findings can land in this state because the producer is permitted to omit code_snippet (code_review_schema.py defaults it to "" in normalize_legacy_finding). When the snippet is empty, do NOT run the grep: tag the finding MISSING_SNIPPET, route it to the manual-surface bucket with note code_snippet is empty — drift check cannot anchor the fix safely, and skip to the next finding.

bash
# Drift check (only runs when code_snippet is non-empty)
grep -Fn "<first non-empty line of finding.code_snippet>" "<finding.file>" | \
  awk -F: '$1 >= <line - 3> && $1 <= <line + 3>' | head -1

No match → tag the finding STALE_FINDING, move it to the manual-surface bucket with note code_snippet has drifted from cited location, skip to next.

Match → launch Agent with subagent_type: "general-purpose", model: "sonnet":

Fix this code review finding. Minimal change only — no refactoring, no new features, no unnecessary error handling.
File: {file} | Line: {line}
Issue: {issue}
Explanation: {explanation}
Recommendation: {recommendation}

Read the file, apply the fix, confirm what changed.

Record modified files for the Step 6 summary.

Show full SKILL.md (675 more words)Show less
3b. Callsite-fix bucket (DEFERRED — PLN-726)

ImpactAnalysis findings have an external_impact[] list of affected callsites in untouched files. The dedicated multi-file callsite update flow ships with PLN-726 (Cross-File Impact Analysis). Until then:

  • Every ImpactAnalysis finding routes to manual-surface with template templates/impact_semantic_change.md.
  • The manual-surface entry includes the anchor + every external_impact[] entry so the operator can apply the updates by hand.
3c. Specialized-fix bucket (DEFERRED — PLN-723)

TestQuality findings need a test-engineer subagent that ships with PLN-723. Until then:

  • All TestQuality findings (including the four that would eventually auto-fix) route to manual-surface with template templates/testquality_specialized.md.
  • bug-locking and test-deletion keep their permanent manual-surface routing using templates/testquality_bug_locking.md and templates/testquality_test_deletion.md.
3d. Manual-surface bucket

For each finding in the manual-surface bucket, look up the template per the routing table:

RoutingTemplate file
TestQuality/bug-lockingtemplates/testquality_bug_locking.md
TestQuality/test-deletiontemplates/testquality_test_deletion.md
TestQuality/* (other, pre-PLN-723)templates/testquality_specialized.md
ImpactAnalysis/* (pre-PLN-726)templates/impact_semantic_change.md
CompanionChange/*templates/companion_change.md
Coverage/*templates/coverage_gap.md
InjectionAttempt/*templates/injection_attempt.md
Hygiene/sensitive_filestemplates/hygiene_sensitive.md
Any finding from envelope.pending_verification[] (verifier didn't run)templates/pending_verification.md
(no matching template — e.g., a future category)templates/_generic.md

Read each template once (Read tool, path <CLAUDE_PLUGIN_ROOT>/skills/fix/templates/<name>.md), then substitute placeholders {file}, {line}, {severity}, {category}, {subcategory}, {issue}, {explanation}, {recommendation}, {code_snippet}, plus category-specific placeholders documented in each template. Missing placeholder data → leave the placeholder visible so the operator sees the gap (do not silently drop).

Buffer each rendered entry for the Step 4 report.


Step 4: Manual-Action Report

After Step 3 completes (or immediately after Step 2 if --dry-run / non-interactive without --apply), print:

markdown
## Manual Action Required

The following findings need human action — they were not auto-fixed because their category requires operator judgment, the supporting flow has not shipped yet, or auto-fix would be unsafe.

[one rendered template entry per manual-surface finding, in dispatch order]

For STALE_FINDING entries, prepend a one-line note:

> ⚠️  STALE_FINDING — code_snippet has drifted from cited location at {file}:{line}. The finding may already be fixed, or the line may have moved. Verify before action.

If the manual-surface bucket is empty, print _No findings require manual action._.


Step 5: Run Project Verification

Skipped when --skip-verification set or when no auto-fix bucket entries succeeded (nothing changed).

Launch Agent with subagent_type: "code:build-validator":

Run all validation commands (test, lint, typecheck, build). Report VALIDATION_PASSED, VALIDATION_FAILED, or NO_VALIDATION.

Do NOT run validation commands directly — build-validator discovers and runs them.

  • PASSED or NO_VALIDATION → proceed to Step 6
  • FAILED → launch general-purpose subagent (model: "sonnet") to fix, re-run build-validator. Max 5 attempts. Warn and proceed on persistent failure.

Step 6: Summary

Print the structured summary:

markdown
## Fix Summary

### Auto-fixes applied (N)
| Category | Findings | Files modified |
|---|---|---|
| Correctness | n | file1, file2 |
| Hygiene (auto-safe) | n | .gitignore |
| ... | | |

### Deferred (await future plans)
| Bucket | Findings | Status |
|---|---|---|
| Callsite-fix | n | Routed to manual-surface — PLN-726 not yet shipped |
| Specialized-fix | n | Routed to manual-surface — PLN-723 not yet shipped |

(Omit the Deferred table if both counts are zero.)

### Manual action required (N)
[short list — one line per finding pointing at file:line + category — full templates in Step 4 above]

### Verification
| Status | Detail |
|---|---|
| Build/Tests/Lint/Type check | PASSED / FAILED / NO_VALIDATION / SKIPPED |

### Telemetry
| Metric | Value |
|---|---|
| Findings received | N |
| Auto-fixed | N |
| Manual surface | N |
| Stale findings (drifted) | N |
| Pending-verification routes | N (findings without upstream verifier_verdict surfaced to operator) |
| Total /fix duration | Hh Mm Ss |
Write the structured result file

After printing the summary, write <CR_DIR>/fix_result.json so non-interactive callers (run-loop.sh, future automation) can act on the outcome without parsing stdout:

json
{
  "schema_version": 1,
  "findings_received": N,
  "auto_fixed": N,
  "manual_surface": N,
  "stale_findings": N,
  "pending_verification_routes": N,
  "deferred_callsite": N,
  "deferred_specialized": N,
  "build_validator_status": "PASSED" | "FAILED" | "NO_VALIDATION" | "SKIPPED",
  "manual_action_required": <bool — see below>,
  "duration_seconds": <int>
}

manual_action_required is true when auto_fixed == 0 AND manual_surface > 0 — i.e., this run made no automated progress and the remaining findings can only be resolved by an operator. This is the signal run-loop.sh reads to halt the review-fix cycle (see below).

Pick the exit code
ConditionExit code
manual_action_required == true (no auto-fixes ran, ≥1 manual-surface entry)2 — "manual action required, no automated progress possible"
build_validator_status == "FAILED" after auto-fixes1 — runtime error: validation regressed
Everything else (including the all-auto-fixed-cleanly path and the no-findings path)0

Exit 2 is the new "halt the loop" signal — distinct from exit 1 (runtime error) so harness callers can branch on it deliberately. Interactive users see the same dispatch plan and manual-action report either way; the exit code only affects programmatic consumers.

Mark all todos completed.


Notes for run-loop.sh and other callers

The default mode is dry-run when no TTY. run-loop.sh must invoke this skill with --apply to retain the auto-apply behavior:

bash
"$CLAUDE" -p "/code-review:fix $cr_dir --apply"

/code-review:fix $cr_dir without --apply from a non-interactive context will print the dispatch plan + manual-action report and exit without modifying code — by design.

Closed-loop callers: read fix_result.json AND the exit code

Automation that calls /code-review:fix in a loop (notably plugins/code/scripts/run-loop.sh's post_loop_review_fix) must distinguish three cases:

Exit codeMeaningRecommended caller action
0Skill ran, made progress (auto-fixes applied) OR found nothing actionableContinue the loop normally — the next review pass should see fewer findings or verdict: approve
2Skill ran, made NO automated progress, ≥1 manual-surface entry remainsHalt the review-fix cycle. Re-running the review will re-surface the same findings; no human is reading the manual-action report inside the loop. Log a clear message naming the manual-surface count and category breakdown (sourceable from <CR_DIR>/fix_result.json).
1Skill itself failed (Claude harness error, malformed envelope, etc.)Retry per the caller's existing error policy

Without the exit-2 branch, a loop calling /code-review:fix will burn its full cycle budget re-detecting the same manual-surface findings every cycle, then exit as if no work was needed — leaving operators no signal that human action is pending.

© closedloop-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files in plugins/code-review/skills/fix of closedloop-ai/claude-plugins.

  • SKILL.md
  • templates/_generic.md
  • templates/companion_change.md
  • templates/coverage_gap.md
  • templates/hygiene_sensitive.md
  • templates/impact_semantic_change.md
  • templates/injection_attempt.md
  • templates/pending_verification.md
  • templates/testquality_bug_locking.md
  • templates/testquality_specialized.md
  • templates/testquality_test_deletion.md

Open the folder on GitHubat commit 0e20ac0

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Categories

Questions about Fix

What does Fix do?

Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification. Fix is an agent skill from closedloop-ai/claude-plugins. Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification.

When should I use Fix?

Fix fits situations like: tasks that involve Code review.

How do I install Fix in Claude Code?

Run `npx skills add closedloop-ai/claude-plugins --skill fix -a claude-code`. Or copy the skill folder (plugins/code-review/skills/fix in closedloop-ai/claude-plugins) into .claude/skills/fix in your project. Claude Code loads it when a task matches its description.

How do I install Fix in Codex?

Run `npx skills add closedloop-ai/claude-plugins --skill fix -a codex`. Or copy the skill folder (plugins/code-review/skills/fix in closedloop-ai/claude-plugins) into .agents/skills/fix in your project. Codex loads it when a task matches its description.

Can I use Fix in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add closedloop-ai/claude-plugins --skill fix -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fix, .gemini/skills/fix, .github/skills/fix and .opencode/skills/fix in your project.

What does Fix need to run?

SKILL.md names no scripts, command-line tools or credentials: Fix is instructions for the agent only.

Does Fix access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fix safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Fix use?

Fix is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fix use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fix?

Skills that share tags, products or a category with Fix: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fix?

closedloop-ai (a GitHub organization) maintains it in closedloop-ai/claude-plugins, which has 122 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 7, 2026.

Source: closedloop-ai/claude-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.