skills/levnikolaevich/claude-code-skills/ln-633-test-value-auditor

ln-633-test-value-auditor

SKILL.md

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.

Risk-Based Value Auditor (L3 Worker)

Specialized worker calculating Usefulness Score for each test.

Purpose & Scope

  • Worker in ln-630 coordinator pipeline
  • Audit Risk-Based Value (Category 3: Critical Priority)
  • Calculate Usefulness Score = Impact × Probability
  • Make KEEP/REVIEW/REMOVE decisions
  • Calculate compliance score (X/10)

Inputs (from Coordinator)

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

Receives contextStore with: tech_stack, testFilesMetadata, codebase_root, output_dir.

Workflow

MANDATORY READ: Load shared/references/two_layer_detection.md for detection methodology.

  1. Parse Context: Extract tech stack, Impact/Probability matrices, test file list, output_dir from contextStore
  2. Calculate Scores (Layer 1): For each test: calculate Usefulness Score = Impact x Probability 2b) Context Analysis (Layer 2 — MANDATORY): Before finalizing REMOVE decisions, ask:
    • Is this a regression guard for a known past bug? → KEEP regardless of Score
    • Does this test cover a critical business rule (payment, auth) even if Score<10? → REVIEW, not REMOVE
    • Is this the only test covering an edge case in a critical flow? → KEEP
  3. Classify Decisions: KEEP (>=15), REVIEW (10-14), REMOVE (<10)
  4. Collect Findings: Record each REVIEW/REMOVE decision with severity, location (file:line), effort estimate (S/M/L), recommendation
  5. Calculate Score: Count violations by severity, calculate compliance score (X/10)
  6. Write Report: Build full markdown report in memory per shared/templates/audit_worker_report_template.md, write to {output_dir}/633-test-value.md in single Write call
  7. Return Summary: Return minimal summary to coordinator (see Output Format)

Usefulness Score Calculation

Formula

Usefulness Score = Business Impact (1-5) × Failure Probability (1-5)

Impact Scoring (1-5)

Score Impact Examples
5 Critical Money loss, security breach, data corruption
4 High Core flow breaks (checkout, login, registration)
3 Medium Feature partially broken, degraded UX
2 Low Minor UX issue, cosmetic bug
1 Trivial Cosmetic issue, no user impact

Probability Scoring (1-5)

Score Probability Indicators
5 Very High Complex algorithm, new technology, many dependencies
4 High Multiple dependencies, concurrency, edge cases
3 Medium Standard CRUD, framework defaults, established patterns
2 Low Simple logic, well-established library, trivial operation
1 Very Low Trivial assignment, framework-generated, impossible to break

Decision Thresholds

Score Range Decision Action
≥15 KEEP Test is valuable, maintain it
10-14 REVIEW Consider if E2E already covers this
<10 REMOVE Delete test, not worth maintenance cost. Exception: regression guards for known bugs → KEEP. Tests covering critical business rules (payment, auth) → REVIEW

Scoring Examples

Example 1: Payment Processing Test

Test: "processPayment calculates discount correctly"
Impact: 5 (Critical — money calculation)
Probability: 4 (High — complex algorithm, multiple payment gateways)
Usefulness Score = 5 × 4 = 20
Decision: KEEP

Example 2: Email Validation Test

Test: "validateEmail returns true for valid email"
Impact: 2 (Low — minor UX issue if broken)
Probability: 2 (Low — simple regex, well-tested library)
Usefulness Score = 2 × 2 = 4
Decision: REMOVE (likely already covered by E2E registration test)

Example 3: Login Flow Test

Test: "login with valid credentials returns JWT"
Impact: 4 (High — core flow)
Probability: 3 (Medium — standard auth flow)
Usefulness Score = 4 × 3 = 12
Decision: REVIEW (if E2E covers, remove; else keep)

Audit Rules

1. Calculate Score for Each Test

Process:

  • Read test file, extract test name/description
  • Analyze code under test (CUT)
  • Determine Impact (1-5)
  • Determine Probability (1-5)
  • Calculate Usefulness Score

2. Classify Decisions

KEEP (≥15):

  • High-value tests (money, security, data integrity)
  • Core flows (checkout, login)
  • Complex algorithms

REVIEW (10-14):

  • Medium-value tests
  • Question: "Is this already covered by E2E?"
  • If yes → REMOVE; if no → KEEP

REMOVE (<10):

  • Low-value tests (cosmetic, trivial)
  • Framework/library tests
  • Duplicates of E2E tests

3. Identify Patterns

Common low-value tests (<10):

  • Testing framework behavior
  • Testing trivial getters/setters
  • Testing constant values
  • Testing type annotations

Scoring Algorithm

MANDATORY READ: Load shared/references/audit_worker_core_contract.md and shared/references/audit_scoring.md.

Severity mapping by Usefulness Score:

  • Score <5 → CRITICAL (test wastes significant maintenance effort)
  • Score 5-9 → HIGH (test likely wasteful)
  • Score 10-14 → MEDIUM (review needed)
  • Score ≥15 → no issue (KEEP)

Output Format

MANDATORY READ: Load shared/references/audit_worker_core_contract.md and shared/templates/audit_worker_report_template.md.

Write report to {output_dir}/633-test-value.md with category: "Risk-Based Value" and checks: usefulness_score, remove_candidates, review_candidates.

Return summary to coordinator:

Report written: docs/project/.audit/ln-630/{YYYY-MM-DD}/633-test-value.md
Score: X.X/10 | Issues: N (C:N H:N M:N L:N)

Note: Tests with Usefulness Score >=15 (KEEP) are NOT included in findings -- only issues are reported.

Critical Rules

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

  • Do not auto-fix: Report only
  • Effort realism: S = <1h, M = 1-4h, L = >4h
  • Score objectivity: Base Impact and Probability on code analysis, not assumptions
  • KEEP tests not reported: Only REVIEW and REMOVE decisions appear in findings
  • Cross-reference E2E: REVIEW decisions depend on whether E2E already covers the scenario

Definition of Done

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

  • contextStore parsed successfully (including output_dir)
  • Usefulness Score calculated for each test (Impact x Probability)
  • Decisions classified: KEEP (>=15), REVIEW (10-14), REMOVE (<10)
  • Findings collected with severity, location, effort, recommendation
  • Score calculated using penalty algorithm
  • Report written to {output_dir}/633-test-value.md (atomic single Write call)
  • Summary returned to coordinator

Reference Files

  • Audit output schema: shared/references/audit_output_schema.md

Version: 3.0.0 Last Updated: 2025-12-23

Weekly Installs
86
GitHub Stars
197
First Seen
Jan 24, 2026
Installed on
claude-code78
gemini-cli75
codex75
opencode75
cursor74
github-copilot70