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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-511 Step 7)
• 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-511-code-quality-checker Step 7 (Agent Review)
• All implementation tasks in Story status = Done
• Code quality analysis (Steps 1-6) already completed by ln-511

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).

1. Health check: python shared/agents/agent_runner.py --health-check

   • Filter output by skill_groups containing “512”
   • If 0 agents available -> return {verdict: "SKIPPED", reason: "no agents available"}
   • Display: "Agent Health: codex-review OK, gemini-review UNAVAILABLE" (or similar)

2. Get references: Call Linear MCP get_issue(storyId) -> extract URL + identifier. Call list_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.

3. Ensure .agent-review/: Create .agent-review/{agent}/ dirs for each available agent (e.g., codex/, gemini/). Create .agent-review/.gitignore with content * + !.gitignore. Add .agent-review/ to project root .gitignore if missing.

4. 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)

5. 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
   • 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

6. 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: Follow Debate Protocol (Challenge Round 1 → Follow-Up Round if not resolved). Skill-specific placeholders:

   • {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}/

7. Aggregate + Return: Collect ACCEPTED suggestions only (after verification + debate). Deduplicate by (area, issue) — keep higher confidence. Filter: confidence >= 90 AND impact_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

Verdict Escalation

• Findings with area=security or area=correctness -> parent skill can escalate PASS -> CONCERNS
• This skill returns raw verified suggestions; escalation decision is made by ln-511

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/.gitignore exists before creating files
• MANDATORY INVOCATION: Parent skills MUST invoke this skill. Returns SKIPPED gracefully if agents unavailable. Parent must NOT pre-check and skip.
• NO TIMEOUT KILL: Do NOT kill agent background tasks if they are running. Agents have no time limit as long as they have not crashed with an error. 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 created with .gitignore and 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%)
• 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