ai-ml-governance SKILL.md skillA

ai-ml-governance from cbrock84/headcount is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cbrock84/headcount/ai-ml-governance@git:20260916.e72e404

Pins git:20260916.e72e404 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
cbrock84/headcount
Path
plugins/data-analytics/skills/ai-ml-governance/SKILL.md
Versions recorded
2
Latest version
git:20260916.e72e404, committed Sep 16, 2026
First version recorded
Aug 29, 2026
Size
4,174 bytes
Repository stars
2,543
License
MIT

Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory exposure, or when deciding whether an AI system is fit for a consequential decision.

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

# AI and ML governance

> Regimes governing automated decision-making differ by jurisdiction and sector and are changing
> quickly. Anything affecting credit, employment, housing, insurance, healthcare, or education
> carries specific legal obligations — involve Legal & Risk and qualified counsel rather than
> treating it as an engineering question.

## Define intended use before evaluating anything

Write down what the system is for, what it is **not** for, who is affected by its output, and what
happens when it is wrong. Most AI failures are use outside intended scope by someone who did not
know the scope existed.

Then decide the consequence tier, because it sets everything after it:

- **Advisory** — a human decides, the model suggests. Lightest oversight.
- **Assistive** — the model acts, a human reviews before effect.
- **Autonomous** — the model acts with effect. Highest bar, and rarely appropriate where a person is
  materially affected.

## Evaluation

A held-out evaluation set that reflects real inputs, including the awkward ones. Built before
deployment and kept stable, or you cannot compare versions.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cbrock84/headcount/ai-ml-governance@sha256:5b4fd8d9b2cd67c0

The line at the top of this page pins the label git:20260916.e72e404, 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_y2aaitjw4hc73qzy.svg)](https://markdownregistry.com/a/art_y2aaitjw4hc73qzy)

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

Versions

The registry has recorded 2 versions of this file, between Aug 29, 2026 and Sep 16, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
git:20260916.e72e404 latest2026-09-16 e72e404 4,174 BA view · diff
git:20260829.635d8e82026-08-29 635d8e8 3,835 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 (4174 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

cbrock84/headcount · 2,543 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_y2aaitjw4hc73qzy
GET https://markdownregistry.com/api/v1/resolve?ref=cbrock84/headcount/ai-ml-governance
GET https://markdownregistry.com/api/v1/blob/5b4fd8d9b2cd67c04331bb726e8e33cdf47e0ed62a61a1fac855b6959efad40a

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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