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levnikolaevich/claude-code-skills106 installs

ln-312-review-findings-worker

Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.

How do I install this agent skill?

npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-312-review-findings-worker
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill is an evaluation worker designed to audit and normalize findings from project artifacts, such as User Stories and technical plans, against industry standards. It uses a local Node.js-based runtime to manage audit states and checkpoints entirely within the local file system. No security vulnerabilities or malicious patterns were detected.

  • Socketpass

    No alerts

  • 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 Findings Worker

Mandatory Read

MANDATORY READ: Load references/evaluation_worker_runtime_contract.md, references/evaluation_summary_contract.md MANDATORY READ: Load ../ln-310-multi-agent-validator/references/phase2_research_audit.md, ../ln-310-multi-agent-validator/references/penalty_points.md MANDATORY READ: Load ../ln-310-multi-agent-validator/references/premortem_validation.md, ../ln-310-multi-agent-validator/references/cross_reference_validation.md

Purpose

  • analyze the target artifact or diff
  • convert evidence into normalized findings
  • for mode=story: calculate penalty points across 30 criteria per phase2_research_audit.md
  • for mode=plan_review: evaluate criteria #5, #6, #21, #28 only (no penalty accumulation)
  • avoid narrative-only review output

Mode Gate

  • mode=story: full pipeline — pre-mortem, cross-reference, penalty points across 30 criteria, build fix plan
  • mode=plan_review: applicability check, stack detection, evaluate criteria #5 (standards), #6 (library versions), #21 (alternatives), #28 (library features) only, normalize findings without penalty accumulation

Runtime

Runtime family:

  • evaluation-worker-runtime

Required manifest fields:

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

Recommended phase_order:

  1. PHASE_0_CONFIG
  2. PHASE_1_LOAD_TARGET
  3. PHASE_2_PREMORTEM (mode=story, complexity >= Medium)
  4. PHASE_3_CROSS_REFERENCE (mode=story, multi-story Epic)
  5. PHASE_4_CRITERIA_AUDIT
  6. PHASE_5_PENALTY_CALCULATION (mode=story only)
  7. PHASE_6_NORMALIZE_FINDINGS
  8. PHASE_7_WRITE_SUMMARY
  9. PHASE_8_SELF_CHECK

Workflow

Phase 0: Config

Load runtime manifest, target identifiers, and any linked research artifact paths.

Phase 1: Load Target

Load only the target artifacts needed for the review scope.

Phase 2: Pre-mortem (mode=story)

Execute pre-mortem analysis per premortem_validation.md:

  1. Skip for trivial Stories (1-2 tasks, no external deps, known tech).
  2. Execute for Stories with complexity >= Medium (3+ tasks, external deps, or unfamiliar tech).
  3. Tigers (evidence-based risks) feed Risk criterion #20 — add to risk table BEFORE penalty calc.
  4. Elephants (unstated assumptions) feed Assumptions criterion #24 — add with [pre-mortem] tag, Confidence=LOW.
  5. Paper Tigers (fears without evidence) — document and dismiss.
  6. Include pre-mortem table in audit report.

Phase 3: Cross-Reference (mode=story)

Execute cross-reference analysis per cross_reference_validation.md:

  1. Skip if Epic has only 1 Story or all siblings Done/Canceled.
  2. Load sibling Stories via list_issues(project=Epic.id).
  3. Check AC overlap (#25): structured traceability first, keyword fallback advisory-only.
  4. Check task duplication (#26): structured match primary.
  5. Include cross-reference findings in audit report.

Phase 4: Criteria Audit

  1. mode=story: evaluate all 30 criteria against Story/Tasks per phase2_research_audit.md Auto-Fix Actions Reference.
  2. mode=plan_review: evaluate criteria #5, #6, #21, #28 only (standards + solution groups).
  3. Cross-check claims against provided research evidence when present.

Phase 5: Penalty Calculation (mode=story)

  1. Assign penalty points per violation using severity levels from phase2_research_audit.md (CRITICAL=10, HIGH=5, MEDIUM=3, LOW=1).
  2. Apply multiple-violation rules per penalty_points.md Calculation Rules.
  3. Calculate total penalty points.
  4. Build fix plan for each violation.
  5. Format penalty audit table per penalty_points.md Report Format.

Phase 6: Normalize Findings

Each finding should prefer structured fields such as:

  • id
  • severity
  • category
  • subject
  • evidence
  • recommendation

Phase 7: Write Summary

Emit summary_kind=review-findings.

Payload must include:

  • worker=ln-312
  • status
  • operation=findings
  • warnings

Prefer these fields when available:

  • findings
  • metrics.penalty_total (mode=story)
  • metrics.criteria_violated (list of criterion numbers)
  • metrics.fix_plan (array of {criterion, action, severity})
  • metrics.premortem_summary (when executed)
  • metrics.cross_reference_summary (when executed)

Phase 8: Self-Check

  1. Remove duplicates.
  2. Remove unsupported claims.
  3. Verify penalty calculation matches penalty_points.md rules (mode=story).
  4. Record pass=true only after summary write.

Definition of Done

  • Target artifact loaded
  • Pre-mortem executed or justified as skipped (mode=story)
  • Cross-reference executed or justified as skipped (mode=story)
  • Criteria audit completed (30 for story, #5/#6/#21/#28 for others)
  • Penalty points calculated and fix plan built (mode=story)
  • Findings normalized
  • Unsupported claims removed
  • review-findings summary written
  • Self-check passed

Version: 1.0.0 Last Updated: 2026-04-10

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-312-review-findings-worker">View ln-312-review-findings-worker on skillZs</a>