"Worker that runs parallel external agent reviews (Codex + Gemini) on code changes. Background tasks, process-as-arrive, critical verification with debate. Returns filtered suggestions with confidence scoring."
Install
npx skillscat add levnikolaevich/claude-code-skills/ln-513-agent-reviewer Install via the SkillsCat registry.
Paths: File paths (
shared/,references/,../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.
Agent Reviewer (Code)
Runs parallel external agent reviews on code implementation, critically verifies suggestions, returns filtered improvements.
Purpose & Scope
- Worker in ln-510 quality coordinator pipeline (invoked by ln-510 Phase 4)
- Run codex-review + gemini-review as background tasks in parallel
- Process results as they arrive (first-finished agent processed immediately)
- Critically verify each suggestion; debate with agent if Claude disagrees
- Return filtered, deduplicated, verified suggestions with confidence scoring
- Health check + prompt execution in single invocation
When to Use
- Invoked by ln-510-quality-coordinator Phase 4 (Agent Review)
- All implementation tasks in Story status = Done
- Code quality (ln-511) and tech debt cleanup (ln-512) already completed
Inputs (from parent skill)
storyId: Linear Story identifier (e.g., "PROJ-123")
Workflow
MANDATORY READ: Load shared/references/agent_delegation_pattern.md for Reference Passing Pattern, Review Persistence Pattern, Agent Timeout Policy, and Debate Protocol (Challenge Round 1 + Follow-Up Round).
Health check:
python shared/agents/agent_runner.py --health-check- Filter output by
skill_groupscontaining "513" - If 0 agents available -> return
{verdict: "SKIPPED", reason: "no agents available"} - Display:
"Agent Health: codex-review OK, gemini-review UNAVAILABLE"(or similar)
- Filter output by
Get references: Call Linear MCP
get_issue(storyId)-> extract URL + identifier. Calllist_issues(filter: {parent: {id: storyId}, status: "Done"})-> extract Done implementation Task URLs/identifiers (exclude label "tests").- If project stores tasks locally (e.g.,
docs/tasks/) -> use local file paths instead of Linear URLs.
- If project stores tasks locally (e.g.,
Ensure .agent-review/:
- If
.agent-review/exists -> reuse as-is, do NOT recreate.gitignore - If
.agent-review/does NOT exist -> create it +.agent-review/.gitignore(content:*+!.gitignore) - Create
.agent-review/{agent}/subdirs only if they don't exist - Do NOT add
.agent-review/to project root.gitignore
- If
Build prompt: Read template
shared/agents/prompt_templates/code_review.md.- Replace
{story_ref}with- Linear: {url}or- File: {path} - Replace
{task_refs}with bullet list:- {identifier}: {url_or_path}per task - Save to
.agent-review/{agent}/{identifier}_codereview_prompt.md(one copy per agent — identical content)
- Replace
Run agents (background, process-as-arrive):
a) Launch BOTH agents as background Bash tasks (run_in_background=true):
python shared/agents/agent_runner.py --agent codex-review --prompt-file .agent-review/codex/{identifier}_codereview_prompt.md --output-file .agent-review/codex/{identifier}_codereview_result.md --cwd {cwd}python shared/agents/agent_runner.py --agent gemini-review --prompt-file .agent-review/gemini/{identifier}_codereview_prompt.md --output-file .agent-review/gemini/{identifier}_codereview_result.md --cwd {cwd}
b) When first agent completes (background task notification):
- Read its result file from
.agent-review/{agent}/{identifier}_codereview_result.md - Parse JSON between
<!-- AGENT_REVIEW_RESULT -->/<!-- END_AGENT_REVIEW_RESULT -->markers - Parse
session_idfrom runner JSON output; write.agent-review/{agent}/{identifier}_session.json:{"agent": "...", "session_id": "...", "review_type": "codereview", "created_at": "..."} - Proceed to Step 6 (Critical Verification) for this agent's suggestions
c) When second agent completes:
- Read its result file, parse suggestions
- Run Step 6 for second batch
- Merge verified suggestions from both agents
d) If an agent fails: log failure, continue with available results
Critical Verification + Debate (per Debate Protocol in
shared/references/agent_delegation_pattern.md):For EACH suggestion from agent results:
a) Claude Evaluation: Independently assess — is the issue real? Actionable? Conflicts with project patterns?
b) AGREE → accept as-is. DISAGREE/UNCERTAIN → initiate challenge.
c) Challenge + Follow-Up (with session resume): Follow Debate Protocol (Challenge Round 1 → Follow-Up Round if not resolved). Resume agent's review session for full context continuity:
- Read
session_idfrom.agent-review/{agent}/{identifier}_session.json - Run with
--resume-session {session_id}— agent continues in same session, preserving file analysis and reasoning - If
session_resumed: falsein result → log warning, result still valid (stateless fallback) {review_type}= "Code Implementation"- Challenge files:
.agent-review/{agent}/{identifier}_codereview_challenge_{N}_prompt.md/_result.md - Follow-up files:
.agent-review/{agent}/{identifier}_codereview_followup_{N}_prompt.md/_result.md
d) Persist: all challenge and follow-up prompts/results in
.agent-review/{agent}/- Read
Aggregate + Return: Collect ACCEPTED suggestions only (after verification + debate).
Deduplicate by(area, issue)— keep higher confidence.
Filter:confidence >= 90ANDimpact_percent > 2.
Return JSON with suggestions + agent_stats + debate_log to parent skill. NO cleanup/deletion.
Output Format
verdict: CODE_ACCEPTABLE | SUGGESTIONS | SKIPPED
suggestions:
- area: "security | performance | architecture | correctness | best_practices"
issue: "What is wrong"
suggestion: "Specific fix"
confidence: 95
impact_percent: 15
source: "codex-review"
resolution: "accepted | accepted_after_debate | accepted_after_followup | rejected"
agent_stats:
- name: "codex-review"
duration_s: 12.4
suggestion_count: 3
accepted_count: 2
challenged_count: 1
followup_count: 1
status: "success | failed | timeout"
debate_log:
- suggestion_summary: "N+1 query in UserRepository.GetAll()"
agent: "gemini-review"
rounds:
- round: 1
claude_position: "Query uses Include() which resolves N+1"
agent_decision: "WITHDRAW"
resolution: "rejected"
final_resolution: "rejected"Fallback Rules
| Condition | Action |
|---|---|
| Both agents succeed | Aggregate verified suggestions from both |
| One agent fails | Use successful agent's verified suggestions, log failure |
| Both agents fail | Return {verdict: "SKIPPED", reason: "agents failed"} |
| Parent skill (ln-510) | Falls back to Self-Review (native Claude) |
Verdict Escalation
- Findings with
area=securityorarea=correctness-> parent skill can escalate PASS -> CONCERNS - This skill returns raw verified suggestions; escalation decision is made by ln-510
Critical Rules
- Read-only review — agents must NOT modify project files (enforced by prompt CRITICAL CONSTRAINTS)
- Same prompt to all agents (identical input for fair comparison)
- JSON output schema required from agents (via
--json/--output-format json) - Log all attempts for user visibility (agent name, duration, suggestion count)
- Persist prompts, results, and challenge artifacts in
.agent-review/{agent}/— do NOT delete - Ensure
.agent-review/.gitignoreexists before creating files (only create if.agent-review/is new) - MANDATORY INVOCATION: Parent skills MUST invoke this skill. Returns SKIPPED gracefully if agents unavailable. Parent must NOT pre-check and skip.
- NO TIMEOUT KILL — WAIT FOR RESPONSE: Do NOT kill agent background tasks. WAIT until agent completes and delivers its response — do NOT proceed without it, do NOT use TaskStop. Agents are instructed to respond within 10 minutes via prompt constraint, but the hard behavior is: wait for completion or crash. Only a hard crash (non-zero exit code, connection error) is treated as failure. TaskStop is FORBIDDEN for agent tasks.
- CRITICAL VERIFICATION: Do NOT trust agent suggestions blindly. Claude MUST independently verify each suggestion and debate if disagreeing. Accept only after verification.
Definition of Done
- Health check executed; available agents identified (or SKIPPED returned if none)
- Story + Done implementation Tasks fetched from Linear (or local files)
.agent-review/directory ensured (reused if exists, created with.gitignoreif new) with per-agent subdirs- Prompt built from template with story/task references, saved per agent
- All available agents launched as background tasks; raw results saved to
.agent-review/{agent}/ - Each suggestion critically verified by Claude; challenges executed for disagreements
- Follow-up rounds executed for suggestions rejected after Round 1 (DEFEND+weak / MODIFY+disagree)
- Challenge and follow-up prompts/results persisted alongside review artifacts
- Suggestions aggregated, deduplicated by (area, issue), filtered (confidence >= 90, impact > 2%)
- Session files persisted in
.agent-review/{agent}/{identifier}_session.jsonfor debate resume - JSON result returned to parent skill with verdict, suggestions list, agent_stats, and debate_log
Reference Files
- Agent delegation pattern:
shared/references/agent_delegation_pattern.md - Prompt template (review):
shared/agents/prompt_templates/code_review.md - Prompt template (challenge):
shared/agents/prompt_templates/challenge_review.md - Agent registry:
shared/agents/agent_registry.json - Agent runner:
shared/agents/agent_runner.py - Challenge schema:
shared/agents/schemas/challenge_review_schema.json
Version: 2.0.0
Last Updated: 2026-02-11