code-health SKILL.md skillA

code-health from ramboz/jig is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ramboz/jig/code-health@git:20260807.8663225

Pins git:20260807.8663225 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ramboz/jig
Path
hosts/codex/plugins/jig/skills/code-health/SKILL.md
Versions recorded
5
Latest version
git:20260807.8663225, committed Aug 7, 2026
First version recorded
Jun 22, 2026
Size
14,081 bytes
Repository stars
7
License
MIT

Run a static-analysis pass on a project — detect the ecosystem (Python or Node), drive its linter (ruff / eslint, plus advisory pyright/complexity/ prettier and a cross-ecosystem duplication signal) via the `health.py` helper, and act on the normalized exit code (0 clean / 1 findings / 2 no-linter). Auto-triggers when you say lint this, check code health, run the linter, ask is this code clean, ask any lint issues, or want a static analysis pass. Tools are resolved on PATH or run ephemerally…

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

> Spec 060 introduced `code-health` as the **static-analysis sibling of
> `tdd-loop`**, under [ADR-0017](../../docs/decisions/adr-0017-scaffolded-code-health.md)'s
> "detect the language → drive its blessed tools → normalize → degrade
> gracefully" framing. Like `tdd.py`, the deterministic detection +
> subprocess invocation live in `health.py`; this SKILL.md drives the
> judgment layer. If another installed skill's description identifies it as
> handling linting / static analysis / code quality, the Codex skill
> router prefers it — the deferral is **category-based**.

## What this skill does

Detects the project's ecosystem and runs its linter, normalizing the result
so callers can branch deterministically. Ecosystem detection is
**table-driven** — each ecosystem (Python, Node) is a data-structure entry,
so adding a language is an entry, not a control-flow fork. Current scope:
**Python (ruff) + Node (eslint)**, each with **advisory** secondary signals.

- A `.jig/lint-command` override always wins and **bypasses ecosystem
  detection entirely** (honored verbatim — same semantics as `tdd.py`'s
  `.jig/test-command`).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ramboz/jig/code-health@sha256:17cdbfa5d6e345c3

The line at the top of this page pins the label git:20260807.8663225, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nc24auy5vyzewh62.svg)](https://markdownregistry.com/a/art_nc24auy5vyzewh62)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 22, 2026 and Aug 7, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20260807.8663225 latest2026-08-07 8663225 14,081 BA view · diff
git:20260730.d38788a2026-07-30 d38788a 13,429 BA view · diff
git:20260622.269c6b02026-06-22 269c6b0 12,863 BA view · diff
git:20260622.59b4e312026-06-22 59b4e31 5,916 BA view · diff
git:20260622.bc9038b2026-06-22 bc9038b 13,356 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14081 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

GitHub

ramboz/jig · 7 stars · license MIT · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nc24auy5vyzewh62
GET https://markdownregistry.com/api/v1/resolve?ref=ramboz/jig/code-health
GET https://markdownregistry.com/api/v1/blob/17cdbfa5d6e345c331a4692245768c870a8405cad821bb22790fc5656729501c

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.

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