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levnikolaevich/claude-code-skills106 installs

ln-316-review-refinement-worker

Use when an evaluation run requires bounded iterative refinement with trace and cleanup evidence.

How do I install this agent skill?

npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-316-review-refinement-worker
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill implements a structured 2-stage iterative refinement process for project artifacts (such as plans or code) using external AI advisors. It orchestrates parallel specialized reviews followed by a sequential final sweep, managing advisor lifecycles, merging findings, and recording trace evidence. The analysis found no evidence of malicious intent or security vulnerabilities.

  • Socketwarn

    1 alert: gptAnomaly

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

Paths: File paths (references/, ../ln-*) are relative to this skill directory.

Type: L3 Worker Category: 3XX Planning

Review Refinement Worker

Mandatory Read

MANDATORY READ: Load references/evaluation_worker_runtime_contract.md, references/evaluation_summary_contract.md, references/refinement_trace_contract.md, references/cleanup_evidence_contract.md MANDATORY READ: Load references/agents/prompt_templates/iterative_refinement.md, references/agents/prompt_templates/refinement_perspectives.md MANDATORY READ: Load references/monitor_integration_pattern.md, references/agent_review_workflow.md (Step: Iterative Refinement)

Purpose

  • run 2-stage refinement after merge using the non-host advisor agent via agent_runner.mjs
  • Stage 1: 3 parallel independent advisor sessions (dry_run_executor, new_dev_tester, adversarial_reviewer)
  • Stage 2: 1 sequential advisor session (final_sweep) after merging Stage 1 results
  • record refinement trace and cleanup evidence for every advisor session

Critical: refinement launches the advisor externally. Do NOT use host-native sub-agents for this phase.

Runtime

Runtime family:

  • evaluation-worker-runtime

Required manifest fields:

  • identifier
  • phase_order
  • summary_kind=review-refinement
  • operation=refinement

Recommended phase_order:

  1. PHASE_0_CONFIG
  2. PHASE_1_STAGE1_PARALLEL
  3. PHASE_2_STAGE2_FINAL_SWEEP
  4. PHASE_3_WRITE_SUMMARY
  5. PHASE_4_SELF_CHECK

Refinement State Machine

Critical: Independent Sessions

Each perspective MUST be a separate node agent_runner.mjs --agent {advisor_agent} invocation. Do NOT combine multiple perspectives into a single advisor prompt or session. Each iter{N}/ subdirectory = independent advisor process with its own PID.

Perspective Classification

StagePerspectiveExecutionPurpose
1dry_run_executorparallelCatch unexecutable steps, sequencing errors
1new_dev_testerparallelCatch implicit knowledge gaps, undefined terms
1adversarial_reviewerparallelCatch guaranteed failures, silent corruption
2final_sweepafter mergeCatch regressions and drift from Stage 1 fixes

All 4 perspectives are MANDATORY. generic_quality is not included — it is covered by the Phase 2 advisor review (review_base.md + mode template).

Stage 1: Parallel Specialized Reviews

  1. Build artifact: Read current state of reviewed artifact (Story+Tasks / plan file / context docs).
  2. For EACH of 3 perspectives, in parallel: a. Load perspective from refinement_perspectives.md matching the perspective name. b. Build prompt: fill iterative_refinement.md placeholders ({artifact_type}, {artifact_content}, {project_context}, {review_perspective}, {iteration_number}, {max_iterations}, {previous_findings_summary}). c. Save prompt to .hex-skills/agent-review/refinement/{identifier}/iter{N}/prompt.md
    • iter1/ = dry_run_executor
    • iter2/ = new_dev_tester
    • iter3/ = adversarial_reviewer d. Launch independent advisor process:
    node references/agents/agent_runner.mjs --agent {advisor_agent} \
      --prompt-file .hex-skills/agent-review/refinement/{identifier}/iter{N}/prompt.md \
      --output-file .hex-skills/agent-review/refinement/{identifier}/iter{N}/result.md \
      --cwd {project_dir}
    
  3. Wait for ALL 3 via runtime sync-agent; Claude hosts may use Monitor for observability (see Waiting section below).
  4. Parse results from each completed session: extract JSON from ## Structured Data section.
  5. Merge findings: deduplicate by (area, issue), keep higher confidence.
  6. Classify: HIGH (impact_percent >= 20%), MEDIUM (10-19%), LOW (< 10%).
  7. Architecture Gate on each accepted fix: "Does this implement the correct architecture directly, without backward compatibility shims?"
  8. Apply accepted fixes.
  9. Kill all 3 processes: node agent_runner.mjs --verify-dead {pid} per session. MANDATORY on Windows.
  10. Record cleanup evidence per cleanup_evidence_contract.md for each session.
  11. Build {previous_findings_summary} for Stage 2.

If ALL 3 advisor sessions fail → EXIT(ERROR), skip Stage 2. If some fail → continue with available results, record partial errors.

Stage 2: Final Sweep

  1. Build artifact: Read post-fix state after Stage 1.
  2. Load final_sweep perspective from refinement_perspectives.md.
  3. Build prompt with {previous_findings_summary} from Stage 1.
  4. Save prompt to .hex-skills/agent-review/refinement/{identifier}/iter4/prompt.md.
  5. Launch advisor (single independent session).
  6. Wait via runtime sync-agent; Claude hosts may use Monitor for observability.
  7. Parse result, apply any accepted fixes (Architecture Gate on each).
  8. Kill process, record cleanup evidence.

Waiting for Advisor Results (MANDATORY)

Use the active runtime sync-agent command before parsing or merge gates. Monitor is optional Claude Code observability only.

For EACH launched advisor process:

When running under Claude Code, optional observability:

Monitor(command="tail -f {agent_log} | grep --line-buffered -E 'Phase|ERROR|DONE'", timeout_ms=120000, description="advisor refinement {perspective_name}")

After each sync/monitor cycle:

  • Check result file for <!-- END_AGENT_REVIEW_RESULT --> marker.
  • Marker present → parse result, proceed.
  • Marker absent, log growing → continue runtime sync or optional monitor cycle.
  • Marker absent, log stale >3 min → run Liveness Protocol (see agent_review_workflow.md).

Do NOT use sleep or manual stat-polling as the primary wait mechanism.

Process Cleanup

After each advisor call (both stages):

  1. Extract pid from runner stdout or metadata.
  2. Run node references/agents/agent_runner.mjs --verify-dead {pid}.
  3. Record cleanup evidence per cleanup_evidence_contract.md.
  4. CLI advisor processes can accumulate on Windows if not killed.

Exit States

StateMeaning
COMPLETEDBoth stages done, all results merged
PARTIAL_ERRORStage 1 had failures but Stage 2 completed
ERRORAll Stage 1 advisor sessions failed (Stage 2 skipped)
SKIPPEDNo advisor available in health check

Summary

Emit summary_kind=review-refinement.

Payload must include:

  • worker=ln-316
  • status
  • operation=refinement
  • warnings

Prefer these fields:

  • stages_completed (int: 1 or 2)
  • exit_reason (enum: COMPLETED, PARTIAL_ERROR, ERROR, SKIPPED)
  • applied (int: total suggestions applied across all stages)
  • architecture_gate_rejections (count)
  • stage1_perspectives (list of completed perspective names)
  • stage1_failed (list of failed perspective names)
  • metadata.refinement_trace

Definition of Done

  • Stage 1: all 3 advisor sessions launched in parallel
  • Stage 2: final_sweep launched after Stage 1 merge
  • All advisors launched via agent_runner.mjs (not host-native sub-agents)
  • Runtime sync-agent used for waiting; Claude Monitor is optional observability
  • Refinement trace recorded per refinement_trace_contract.md
  • Cleanup evidence recorded for all launched processes
  • review-refinement summary written
  • Self-check passed

Version: 2.0.0 Last Updated: 2026-04-13

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/levnikolaevich/claude-code-skills/ln-316-review-refinement-worker">View ln-316-review-refinement-worker on skillZs</a>