github-actions-supply-chain

github-actions-supply-chain is a skill for Claude Code from Habitat-Thinking/ai-literacy-superpowers. It costs 36 tokens per session (1,248 once invoked), scanned A, original, no licence file.

A guide for reviewing GitHub Actions workflow files, which define automated jobs that run in GitHub repositories, for security weaknesses and supply-chain risks.

In plain words
What is it for?
It is for checking workflow permissions, reviewing actions used by CI, and hardening GitHub-based build and deployment jobs.
Why use it?
It helps prevent untrusted workflow code, permissions, or external actions from compromising the repository or its automation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-literacy-superpowers plugin — 41 skills, 17 commands, 20 agents, 3 hooks shipped together

Good fit It is for checking workflow permissions, reviewing actions used by CI, and hardening GitHub-based build and deployment jobs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain
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 Habitat-Thinking/ai-literacy-superpowers --skill github-actions-supply-chain
Clone the repo
git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers

Made for: Claude Code.

Or install ai-literacy-superpowers, the plugin that ships this one along with the rest of its 41 skills, 17 commands, 20 agents, 3 hooks.

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 github-actions-supply-chain

README.md
[![agentmods](https://agentmods.dev/badge/skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain/github.svg)](https://agentmods.dev/skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain)
Your own site
<a href="https://agentmods.dev/skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain"><img src="https://agentmods.dev/badge/skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain/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 github-actions-supply-chain

Your own site · 80×15
<a href="https://agentmods.dev/skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain"><img src="https://agentmods.dev/badge/skills/habitat-thinking/ai-literacy-superpowers/github-actions-supply-chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,248 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00036 $0.01248
Opus 5.5 $0.00014 $0.00499
Sonnet 5.5 $0.00007 $0.00250
Haiku 4.5 $0.00004 $0.00125

Measured 1mo ago against content hash 42ec2da40ac2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-actions-supply-chain scanned grade A with 1 finding 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 1mo 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.

Unrestricted tool accesslowExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

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

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

ai-literacy-superpowers/skills/github-actions-supply-chain/SKILL.md · 149 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 149 lines · 36 tokens per session scan A 42ec2da40ac2

Subscribe to this mod's changes

github-actions-supply-chain is a skill published in the GitHub repository Habitat-Thinking/ai-literacy-superpowers (116 stars, last pushed 5d ago), with no licence file. It adds 36 tokens to every session and 1,248 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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