Home / habitat-thinking / ai-literacy-superpowers · ai-literacy-superpowers/skills/github-actions-supply-chain/SKILL.md · GitHub

github-actions-supply-chain skillA

github-actions-supply-chain is agent-read markdown (skill) from habitat-thinking/ai-literacy-superpowers: Use when reviewing GitHub Actions workflow files for security issues, hardening CI pipelines, or assessing supply chain risk in a repository that uses GitHub Actions.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# GitHub Actions Supply Chain Assessment

## Overview

GitHub Actions workflows run arbitrary code with access to repository secrets and a `GITHUB_TOKEN`. A compromised or repointed action is indistinguishable from a legitimate one — the attack lands silently in your CI logs. This skill provides a structured checklist for assessing and hardening Actions supply chain risk.

**Never rely on your knowledge of whether an action version is "safe". Run the checklist.**

---

## Assessment Checklist

Work through every workflow file in `.github/workflows/`. For each file:

- [ ] Every `uses:` reference is pinned to a full 40-character commit SHA
- [ ] Third-party actions (outside the `actions/` and `github/` namespaces) are identified and risk-rated
- [ ] A top-level or job-level `permissions:` block is present and minimally scoped
- [ ] No `pull_request_target` trigger is used with `actions/checkout` of the PR head (fork poisoning risk)
- [ ] No user-controlled input flows unsanitised into `run:` shell commands (script injection)
- [ ] A `dependabot.yml` (or Renovate config) exists to keep pinned SHAs current

---

## SHA Pinning

### Why tags are unsafe
…

Read the whole file at its exact version.

How to install

Latest version
mdr add habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain@git:20260406.60a61ca
Exact content
mdr add habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain@sha256:42ec2da40ac28ccb

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ct3yehzekzsemmqc.svg)](https://markdownregistry.com/a/art_ct3yehzekzsemmqc)

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Versions

versioncommittedcommitsizeaudit
git:20260406.60a61ca latest2026-04-06 60a61ca 5,418 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (5418 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

habitat-thinking/ai-literacy-superpowers · 106 stars · license NOASSERTION · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ct3yehzekzsemmqc
GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain
GET https://markdownregistry.com/api/v1/blob/42ec2da40ac28ccb074bd90bc50119edbd755404e3e333e03cc60de64250a89a

Your agent 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.

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