Iterative health check

Skill fabioc-aloha/Alex_Skill_Mall/plugins/code-quality/iterative-health-check

284 curated plugins for AI assistants across 16 categories: security, Azure, documentation, code quality, cloud infrastructure, and more. Works with GitHub Copilot. Drop into .github/skills/local/ and go.

Install

npx -y skills add fabioc-aloha/Alex_Skill_Mall --skill iterative-health-check

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

One-time audits don't track improvement:

SKILL.md

2.9 KB, 726 tokens by cl100k_base, as published. Nobody here has run it

Iterative Health-Check Loop

The Problem

One-time audits don't track improvement:

"We found 47 issues" — so what?
No prioritization
No follow-through
Same issues reappear

The Solution

Score → Fix Top Issues → Rescore loop.

┌──────────────────┐
│   Score          │ Assess current state quantitatively
└────────┬─────────┘
         ▼
┌──────────────────┐
│   Prioritize     │ Rank by ROI (impact / effort)
└────────┬─────────┘
         ▼
┌──────────────────┐
│   Fix Top N      │ Address highest-ROI issues
└────────┬─────────┘
         ▼
┌──────────────────┐
│   Rescore        │ Measure improvement
└────────┬─────────┘
         │
         └─────────► Repeat

Scoring Framework

const dimensions = {
  testCoverage: { weight: 0.25, score: 0 },
  docAccuracy: { weight: 0.20, score: 0 },
  securityGaps: { weight: 0.30, score: 0 },
  techDebt: { weight: 0.25, score: 0 }
};

function calculateHealth() {
  return Object.values(dimensions)
    .reduce((sum, d) => sum + d.weight * d.score, 0);
}

// Score each dimension 0-100
dimensions.testCoverage.score = 72;  // 72% coverage
dimensions.docAccuracy.score = 85;   // 85% of docs verified
dimensions.securityGaps.score = 60;  // 3 medium issues
dimensions.techDebt.score = 45;      // High debt

console.log(`Health: ${calculateHealth().toFixed(0)}%`); // 64%

ROI Prioritization

| Issue | Impact (1-5) | Effort (1-5) | ROI | Priority |
|-------|--------------|--------------|-----|----------|
| Fix auth bug | 5 | 2 | 2.5 | 1 |
| Add tests | 3 | 3 | 1.0 | 3 |
| Update deps | 4 | 2 | 2.0 | 2 |
| Refactor X | 2 | 4 | 0.5 | 4 |

ROI = Impact / Effort. Fix highest ROI first.

Progress Tracking

## Health Check History

| Date | Score | Top Fix | Impact |
|------|-------|---------|--------|
| 2026-04-01 | 45% | Security patch | +12% |
| 2026-04-15 | 57% | Test coverage | +8% |
| 2026-04-29 | 65% | Doc update | +5% |

Verification

Score is reproducible (same method each time)
Fixes address highest-ROI issues
Rescore shows measurable improvement
Loop continues until target score reached

When to Apply

Codebase health monitoring
Documentation audits
Security reviews
Any quality improvement initiative