git:20260720.22d020c to git:20260724.d4db756

2 added, 2 removed. Audit A to A.

---
name: ai-spec-coverage-mapper
description: "Build-an-X workflow that uses an LLM to map existing tests to spec sections - given a spec doc + the test suite, the LLM identifies which tests cover which sections, surfaces uncovered sections (gap), and recommends specific tests to add. Output is a coverage matrix per spec ID. Scope is mapping tests that already exist and naming the gaps, not authoring tests for new acceptance criteria. Use when a spec doc and a test suite both exist but nobody can say which requirements are actually covered - before a release sign-off, an audit, or a decision about where to spend the next round of test effort."
---
# ai-spec-coverage-mapper
## Overview
Coverage tools (per `lcov-analysis` in the qa-test-reporting plugin)
report which **lines** are tested. They don't report which **spec
sections** are tested.
A spec section like "AC-1.4: Already-applied promo shows 'Already
applied'" might be:
- Covered by a test (good).
- Partially covered (the AC says "Already applied"; the test
asserts "Already used" - semantic drift).
- Not covered.
This skill uses an LLM to map tests ↔ spec sections semantically.
## When to use
- The team has a spec doc + a test suite and wants spec-coverage
visibility.
- An audit / compliance review needs spec-test traceability.
- After AC drift - tests written months ago for ACs that have
since changed.
## Step 1 - Inputs
```yaml
spec_path: "docs/specs/checkout.md"
test_globs:
- "tests/checkout/**/*.spec.ts"
- "features/checkout/*.feature"
ac_extraction:
pattern: "AC-(\\d+\\.\\d+):" # AC IDs in the spec
```
The LLM reads both the spec and the tests; outputs the mapping.
## Step 2 - Run the mapper
```python
# scripts/ai-coverage.py
import openai
spec_text = read(spec_path)
ac_list = extract_acs(spec_text)
test_files = read_all(test_globs)
system_prompt = """
You map AC IDs to tests. For each AC ID, identify:
- which test files cover it
- which test names within those files cover it
- coverage tier: full | partial | none
If partial, explain what aspect is missing.
"""
response = openai.chat.completions.create(
model='gpt-4',
messages=[
{'role': 'system', 'content': system_prompt},
{'role': 'user', 'content': f"Spec:\n{spec_text}\n\nTests:\n{test_files}"},
],
)
print(response.choices[0].message.content)
```
## Step 3 - Output
```markdown
## Spec → test coverage map
**Spec:** `docs/specs/checkout.md`
**ACs:** 12
**Tests inventoried:** 47
### Coverage matrix
| AC ID | Description | Coverage | Tests |
|----------|------------------------------------------|----------|-----------------------------------------------------|
| AC-1.1 | Valid promo applies discount | ✅ full | `promo.spec.ts > "applies WELCOME10"` |
| AC-1.2 | Expired promo shows error | ✅ full | `promo.spec.ts > "shows error for EXPIRED50"` |
| AC-1.3 | Invalid format shows "Code not found" | ✅ full | `promo.spec.ts > "rejects NOTREAL"` |
| AC-1.4 | Already-applied promo shows "Already applied" | ⚠ partial | `promo.spec.ts > "rejects duplicate"`. ⚠ Test asserts "Already used" - message drift from AC. |
| AC-1.5 | Promo applies before tax | ❌ none | |
| AC-2.1 | Stripe webhook delivery retried | ✅ full | `webhook.spec.ts > "retries on 500"` |
| AC-2.2 | Stripe webhook delivery DLQ after 3 fails | ❌ none | |
| ...
### Action items
| AC ID | Action |
|---------|-------------------------------------------------|
| AC-1.4 | Update test message assertion to match AC ("Already applied"). |
| AC-1.5 | Add test asserting promo applies before tax. |
| AC-2.2 | Add test for DLQ-after-3-fails behavior. |
### Coverage trend
(Compare with prior run)
- AC count: 12 (was 10)
- Full coverage: 9/12 = 75% (was 8/10 = 80%)
- 2 new ACs added in this PR; both uncovered.
```
## Step 4 - Continuous use
Schedule weekly:
```yaml
on:
schedule:
- cron: '0 4 * * MON'
jobs:
spec-coverage:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- run: python scripts/ai-coverage.py
- uses: peter-evans/create-issue-from-file@v5
with:
title: 'Spec coverage report - week of ${{ github.event.repository.updated_at }}'
content-filepath: spec-coverage-report.md
```
## Step 5 - Confidence + LLM hallucination
LLMs may claim a test "covers" an AC when it doesn't. Verification:
- Spot-check the highest-priority ACs manually.
- Cross-reference with `acceptance-test-from-criteria` (in the qa-bdd plugin)
if the team uses `@AC-X.Y` tags - those are the ground truth.
- Compare LLM's claim vs. test code via human review.
## Anti-patterns
| Anti-pattern | Why it fails | Fix |
|-----------------------------------------------------------------------|---------------------------------------------------------------------------|-----|
| Trusting LLM's "full coverage" claim without verification | Hallucination; tests don't actually cover the AC. | Spot-check + cross-reference (Step 5). |
| Running on the entire codebase repeatedly | Cost + slow. | Filter to changed ACs / tests since last run. |
| One-shot mapping; never updated | Drift; mapping stale. | Weekly cadence (Step 4). |
| No action items per gap | Coverage gaps surface but nothing happens. | Per-gap action item (Step 3 example). |
## Limitations
- **LLM quality varies.** Same caveats as
- [`ai-test-generator`](../ai-test-generator/SKILL.md).
+ `ai-test-generator`.
- **Spec format matters.** Well-structured ACs (numbered, clearly
scoped) map cleanly; vague specs produce vague mappings.
- **No code-execution verification.** The LLM reads code; doesn't
run it. A test that imports correctly but throws at runtime
may be classified "covered."
- **Test naming influences mapping quality.** Per-test names like
"test_1" don't help the LLM identify what's covered.
## References
- - [`ai-test-generator`](../ai-test-generator/SKILL.md) - sister
+ - `ai-test-generator` - sister
skill: generates tests for the gaps this skill identifies.
- `acceptance-test-from-criteria` (in the qa-bdd plugin) - for tag-based AC traceability without LLM.
- `coverage-debt-tracker` (in the qa-test-impact-analysis plugin) - line-coverage debt; complementary to spec coverage.