iterative-health-check

iterative-health-check is a skill for Claude Code, Codex from fabioc-aloha/Alex_Skill_Mall. It costs 12 tokens per session (743 once invoked), scanned A, original, MIT.

A repeated health-check process that scores a project, fixes the highest-priority problems, and scores it again.

In plain words
What is it for?
Use it to track test coverage, documentation accuracy, security gaps, and technical debt over several improvement cycles.
Why use it?
A one-time audit can produce a list of issues without showing which improvements matter or whether the project is getting healthier.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to track test coverage, documentation accuracy, security gaps, and technical debt over several improvement cycles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fabioc-aloha/alex_skill_mall/iterative-health-check
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fabioc-aloha/Alex_Skill_Mall --skill iterative-health-check
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for iterative-health-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/iterative-health-check/github.svg)](https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/iterative-health-check)
Your own site
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/iterative-health-check"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/iterative-health-check/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for iterative-health-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/iterative-health-check"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/iterative-health-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00743
Opus 5 $0.00006 $0.00371
Sonnet 5 $0.00002 $0.00149
Haiku 4.5 $0.00001 $0.00074

Measured 8d ago against content hash e19766c12f69, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

iterative-health-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/code-quality/iterative-health-check/skills/iterative-health-check/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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

Read the full file on GitHub · 108 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 108 lines · 12 tokens per session scan A e19766c12f69

Subscribe to this mod's changes

iterative-health-check is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 743 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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