Verifies implementation completion by running acceptance tests and triggers retry loop on failure.
Scanned 2/12/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill completion-verifier --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: completion-verifier
description: Verifies implementation completion by running acceptance tests and triggers retry loop on failure.
context: fork
---
# Completion Verifier Skill
## When to Use
- After each implementation phase
- Before marking task as complete
- When retry loop is triggered
## Inputs
- context.md path (contains Acceptance Tests section)
- Test framework (from PROJECT.md: jest/vitest/playwright)
## Procedure
1. Parse Acceptance Tests section from context.md
2. Extract test IDs and file paths
3. Run tests: `npm test -- --testPathPattern="{test files}"`
4. Parse results (PASS/FAIL per test)
5. Update context.md status column
6. Return completion status
## Output
```yaml
completionStatus:
total: 5
passed: 4
failed: 1
allPassed: false
failedTests:
- id: T2
type: Unit # or Integration
file: ErrorHandler.test.tsx
error: "Expected error message not shown"
failedPhase: "Phase 1" # Determines where to retry
recommendation: "Fix ErrorHandler.tsx, then re-run Phase 1"
```
## Retry Logic
When `allPassed: false`:
1. **Identify failed phase** based on test type:
- Unit FAIL → Phase 1 (Mock implementation)
- Integration FAIL → Phase 2 (API integration)
2. **Return to failed phase** (NOT test writing):
- Pass `failedTests` info to implementation-agent
- Implementation-agent fixes code only (no test rewrite)
3. **Retry limits**:
- Max 2 retries per phase
- After 2 failures → Ask user for intervention
## Skip Conditions
- No test framework configured → Skip with warning
- No Acceptance Tests in context.md → Skip
- Skip Conditions from testing.md apply (legacy, prototype, etc.)
## Tool Call Example
```bash
# Run specific tests
npm test -- --testPathPattern="batch.test|ErrorHandler.test"
# Check coverage (optional)
npm test -- --coverage --testPathPattern="..."
```
---
## Self-Audit Pattern
> After implementation, compare results against context.md requirements to verify fulfillment.
### Purpose
According to the "How to write a good spec for AI agents" guide, having AI verify its own work against the spec is a powerful pattern. This helps catch missing items before running tests.
### Trigger
- After each implementation phase
- Before test execution
### Prompt Example
At completion, verify the following:
> "After implementation, compare your results against the requirements in context.md
> and verify each item is fulfilled.
> If any requirements are not met, list them."
### Self-Audit Output Format
```yaml
selfAuditResult:
# Requirements fulfillment
requirementsMet:
- "[REQ-1] User query API ✅"
- "[REQ-2] Error handling ✅"
requirementsNotMet:
- "[REQ-3] Pagination ❌ (not implemented)"
# 3-tier boundary check
boundaryCheck:
neverDoViolations: [] # Critical violations (halt if any)
askFirstItems: [] # Items needing approval
alwaysDoCompleted: # Required actions
- "lint executed"
- "tests passed"
# Overall judgment
readyForTest: true | false
blockers: # Blocking reasons if false
- "REQ-3 not implemented"
```
### Workflow Integration
```
Implementation Phase Complete
↓
[Self-Audit] Compare against context.md requirements
↓
readyForTest?
↓ ↓
true false
↓ ↓
Run tests Fix implementation and retry
```
### Notes
- Self-Audit is a **supplementary check**, not a replacement for actual tests
- Requirement fulfillment involves subjective judgment; tests provide final verification
- If `neverDoViolations` exist, halt immediately and report to user
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