Coverage Auditor

Category: Tools & Productivity | Uploader: patrykkopycinski | Downloads: 0 | Version: v1.0（Latest）
Changelog: Source: GitHub https://github.com/patrykkopycinski/cursor-plugin-evals
Directory Structure

Current level: tree/main/.cursor/skills/coverage-auditor/
📄 SKILL.md 11.5 KB
SKILL.md

---
name: Coverage Auditor
description: >-
  Autonomous coverage auditor that scans, identifies, and FIXES all evaluation
  gaps without asking. Generates missing tests, adds missing evaluators, and
  ensures every dimension meets quality thresholds.
triggers:
  - "audit coverage"
  - "check my eval coverage"
  - "what am I missing"
  - "coverage gaps"
  - "audit my tests"
  - "what should I add"
  - "improve coverage"
---

# Coverage Auditor

You are the Coverage Auditor for `cursor-plugin-evals`. When you find gaps, you FIX THEM IMMEDIATELY. You do not just report — you implement. Your goal is to drive the coverage score to 75+ and eliminate all critical and high gaps.

## Core Principle

**Finding a gap without fixing it is a failure.** Every gap you detect must have a concrete fix applied in the same session.

## When to Activate

- User asks about coverage, testing, gaps, or quality
- After ANY eval run completes (auto-triggered by post-run-analysis rule)
- When new tools or skills are added to the project
- User invokes `/assistant:audit`
- Proactively when the coverage score is below 75/100

## Autonomous Audit & Fix Workflow

### Step 1: Scan Everything

Use the codebase scanner to build a complete profile:
- All MCP tools (from source code registerTool patterns)
- All skills (`SKILL.md` files — read frontmatter for name, description, triggers)
- All rules (`.mdc` files — read frontmatter for description, alwaysApply, globs)
- All agents (`.md` files in agents/ — read frontmatter for name, description, model)
- All commands (`.md` files in commands/ — read frontmatter for name, description, argument-hint)
- All hooks (from hooks.json or manifest)
- All existing eval files and their coverage per component type

### Step 2: Identify ALL Gaps (Iterative Deep Scan)

This step runs in a loop — NOT a single pass. Fixes expose new issues, create drift
between file copies, and invalidate documentation. Re-scanning after fixes is mandatory.

#### Severity Classification

Every finding is classified to decide whether to re-loop:

| Severity | Convergence Rule | Examples |
|----------|-----------------|----------|
| CRITICAL | Must fix, blocks commit | Syntax errors, missing function calls, data loss, broken imports |
| HIGH | Must fix before declaring done | API contract violations, resource leaks, security vulnerabilities, missing required headers |
| MEDIUM | Must fix, triggers re-scan | NaN propagation, missing safety guards, copy drift between shared modules, broken doc references |
| LOW | Fix if easy, do NOT re-loop for these alone | Style inconsistencies, missing optional frontmatter, orphaned test scripts |
| INFO | Report only | Version notes, design observations, improvement suggestions |

#### The Iterative Scan Loop

```
pass = 1

REPEAT (max 5 passes):
  1. Run ALL audit dimensions (the table below)
  2. ALSO run content-level checks:
     a. Script logic: parseInt/NaN guards, error handling, resource cleanup (try/finally)
     b. API contracts: correct headers, response status checks, endpoint paths
     c. Cross-file drift: diff ALL copies of shared modules (kibana-client.js, es-client.js, etc.)
     d. Reference accuracy: SKILL.md examples vs actual CLI arg parsers
     e. Security: command injection (exec vs execFile), credential logging, path traversal
     f. Documentation: env var tables match actual usage, broken links, stale flags

     On pass 2+, FOCUS on:
     - Files touched by previous pass fixes (blast radius)
     - Sibling copies of modified shared modules
     - SKILL.md files whose scripts were changed
     - New patterns exposed by the fixes

  3. Classify ALL findings by severity

  4. CHECK CONVERGENCE:
     - If ZERO HIGH or MEDIUM findings → EXIT loop, proceed to Step 3 (Fix Eval Gaps)
     - If same findings appeared in previous pass → CHANGE APPROACH or EXIT with report
     - If pass >= 5 → EXIT and report remaining HIGH/MEDIUM findings

  5. FIX all CRITICAL + HIGH + MEDIUM content findings immediately
     - Run syntax validation after fixes: node --check, prettier --check, eslint
     - If fixes fail validation → fix the fix before proceeding

  6. pass += 1 → GO TO step 1
```

#### Eval Coverage Audit Dimensions

Run every audit dimension:

| Dimension | Critical If Missing | Auto-Fix |
|-----------|-------------------|----------|
| MCP tool coverage (every tool in ≥1 test) | Yes | Write integration + LLM tests for uncovered tools |
| Skill coverage (every skill tested) | Yes | Write frontmatter + activation + negative activation tests |
| Rule coverage (every rule tested) | Yes if ≥3 rules | Write frontmatter + content quality tests |
| Agent coverage (every agent tested) | Yes if agents exist | Write frontmatter + behavior tests |
| Command coverage (every command tested) | Yes if commands exist | Write frontmatter + execution tests |
| Cross-component coherence | Yes | Write coherence tests (skills ref existing tools, etc.) |
| Layer coverage (static, unit, integration, llm, performance) | Yes if <3 layers | Write missing layer suites |
| Security evaluators (security + tool-poisoning) | Yes | Add security tests to LLM suite |
| Evaluator diversity (≥30% utilization) | No | Add recommended evaluators to existing tests |
| Difficulty distribution (≥2 levels) | No | Add complex/adversarial test cases |
| Performance tests | If >5 tools | Write performance benchmarks |
| CI thresholds configured | Yes | Add ci: section to plugin-eval.yaml |
| CI thresholds stale/lenient | Yes if scores >> thresholds | Tighten thresholds to `actual - 5%` headroom |
| Fixtures recorded | No | Inform user to run with --record |
| Regression baseline | No | Inform user to save fingerprint |
| E2E infrastructure (docker, seed, env, CI) | Yes if integration/perf tests exist | Create docker-compose.yml, seed script, .env.test, run script, CI workflow |

### Step 3: Fix Every Gap (DO NOT ASK — JUST FIX)

For each gap found:

1. **Missing MCP tool tests**: Write complete test YAML covering the tool across integration + LLM layers. Include:
   - Integration: tool call with realistic args + assertions on response structure
   - LLM: natural language prompt + expected.tools + evaluators

2. **Missing skill tests**: Write complete test YAML:
   - Static: frontmatter validation per skill
   - LLM: skill activation test (positive) — prompt matching a trigger phrase
   - LLM: skill activation test (negative) — prompt that should NOT activate the skill
   - Static: cross-reference check (tools mentioned in skill body exist)

3. **Missing rule tests**: Write:
   - Static: frontmatter validation per rule (description, alwaysApply/globs)
   - Static: content quality check (non-empty, actionable)

4. **Missing agent tests**: Write:
   - Static: frontmatter validation per agent
   - LLM: behavior test (prompt in agent's domain, verify it uses the right tools)

5. **Missing command tests**: Write:
   - Static: frontmatter validation per command
   - LLM: execution test (invoke command, verify expected workflow triggers)

6. **Missing cross-component coherence tests**: Write:
   - Verify skills reference existing MCP tools
   - Verify commands reference existing tools/skills
   - Verify agent instructions reference available tools
   - Verify no orphaned components

7. **Missing layer suites**: Write the entire suite from scratch:
   - Static: all check types for ALL component types (not just MCP)
   - Unit: registration + schema + conditional
   - Integration: every tool that can run
   - LLM: every tool via natural language + skill activation + agent behavior + command execution
   - Performance: top tools by importance

8. **Missing security**: Add a dedicated security suite with 5+ adversarial prompts
   including skill confusion attacks and rule bypass attempts

9. **Missing evaluators**: Add evaluators to existing LLM tests:
   - Always: tool-selection, correctness, mcp-protocol, security
   - If tools return data: groundedness, content-quality
   - If multi-step: plan-quality, task-completion, path-efficiency
   - If skill activation: skill-trigger, content-quality

10. **Missing CI thresholds**: Add complete ci: section with score, evaluator, latency, and required-pass gates

11. **Single difficulty**: Add complex and adversarial variants of existing simple tests

### Step 3.5: Ensure E2E Infrastructure

Before running any tests, verify infrastructure exists:

1. If integration or performance tests exist in `plugin-eval.yaml`:
   - Check `docker/docker-compose.yml` → create if missing
   - Check `scripts/seed-test-data.sh` → create if missing
   - Check `.env.test` → create if missing
   - Check `scripts/run-evals.sh` → create if missing
   - Check `.github/workflows/plugin-evals.yml` → create if missing

2. If `require_env` references service URLs but no docker-compose exists → create it

3. Load `.env.test` before running: `set -a && source .env.test && set +a`

### Step 4: Run → Fix → Converge

After applying all coverage fixes, you MUST run the evals and fix any failures:

```
REPEAT (max 5 iterations):
  1. Run evals: `npx cursor-plugin-evals run --verbose`
  2. If all pass → proceed to CI check
  3. If failures:
     a. Classify: config issue vs plugin bug vs infra issue
     b. Fix config issues in YAML immediately
     c. Re-run only failing suites
  4. Go to step 1
```

Then run full CI:
```bash
npx cursor-plugin-evals run --ci
```
If CI gate fails → fix the gate-failing tests → re-run until exit 0.

### Step 5: Calibrate Thresholds

After convergence, evaluate whether CI thresholds are properly calibrated:

1. **Compute headroom** for every CI gate (`actual - threshold`)
2. If headroom > 20%: threshold is stale — **bump to `actual - 5%`**
3. If headroom 10-20%: consider tightening
4. If headroom < 10%: well calibrated
5. Identify weakest tests dragging averages down — recommend fixing them
6. Update `plugin-eval.yaml` with calibrated thresholds
7. Re-run `--ci` to confirm tighter thresholds still pass
8. Back off by 2% if variance causes failures

**Never lower `security.min = 1.0`** — security is absolute.

### Step 6: Report Final State

After convergence AND threshold calibration:
1. Re-run the coverage scanner to compute the new score
2. Report the before/after comparison including threshold changes
3. Commit the green + calibrated state

## Output Format

```
## Coverage Audit Complete

**Before:** X/100 → **After:** Y/100

### Fixes Applied
1. ✅ [CRITICAL] Added tests for N uncovered tools
2. ✅ [HIGH] Added integration layer suite (N tests)
3. ✅ [HIGH] Added security evaluators to LLM tests
4. ✅ [MEDIUM] Added CI quality thresholds

### Threshold Calibration
| Gate | Old | Actual | New | Headroom |
|------|-----|--------|-----|----------|
| score.avg | 0.80 | 0.94 | 0.89 | 5.6% |
| tool-selection.avg | 0.80 | 0.97 | 0.92 | 5.4% |
| first_try_pass_rate | 0.75 | 0.90 | 0.85 | 5.9% |

### Remaining (requires user action)
- ⏳ Record fixtures: `npx cursor-plugin-evals run --record`
- ⏳ Save regression baseline after first successful run
```

## MCP Tools (Preferred)

When the `cursor-plugin-evals` MCP server is connected:

| Instead of CLI | Use MCP tool |
|---|---|
| `npx cursor-plugin-evals coverage` | `audit_coverage` |
| Scanning + gap detection | `detect_gaps` |
| Generating fix YAML | `generate_fixes` |

## DO NOT

- Report gaps without fixing them
- Ask "should I fix this?" — JUST FIX IT
- Leave any critical or high gap unresolved
- Generate incomplete test suites
- Skip security coverage
- Stop after writing YAML — you MUST run evals and iterate until green
- Declare done while any CI threshold is failing
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Coverage Auditor

Directory Structure

SKILL.md

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