iterative-health-check SKILL.md skillA
iterative-health-check from fabioc-aloha/alex_skill_mall is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fabioc-aloha/alex_skill_mall/iterative-health-check@git:20260728.80a7ab6Pins git:20260728.80a7ab6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fabioc-aloha/alex_skill_mall
- Path
plugins/code-quality/iterative-health-check/skills/iterative-health-check/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260728.80a7ab6, committed Jul 28, 2026
- Size
- 2,829 bytes
- Repository stars
- 5
- License
- MIT
One-time audits don't track improvement:.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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
```javascript
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
…Read the whole file at its exact version.
How to install
mdr add fabioc-aloha/alex_skill_mall/iterative-health-check@sha256:e19766c12f691b2cThe line at the top of this page pins the label git:20260728.80a7ab6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_rcpjklrty3e4sr4u)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2829 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
fabioc-aloha/alex_skill_mall · 5 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rcpjklrty3e4sr4u GET https://markdownregistry.com/api/v1/resolve?ref=fabioc-aloha/alex_skill_mall/iterative-health-check GET https://markdownregistry.com/api/v1/blob/e19766c12f691b2cad19eb29f72e5d890346efa8519206911c1a36287fff8d82
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.