github-actions-hardening

github-actions-hardening is a skill for Claude Code, Codex from joao-aires/agent-skills-public. It costs 191 tokens per session (2,282 once invoked), scanned A, a copy of github-actions-hardening, MIT.

A security review guide for GitHub Actions workflow files, which define automated jobs that run in GitHub repositories. It examines how triggers, tokens, secrets, shell commands, and third-party actions handle untrusted input.

In plain words
What is it for?
Use it to audit or write secure workflows, review GITHUB_TOKEN permissions, pin actions, handle fork and comment triggers, protect secrets, and assess cloud authentication or self-hosted runners.
Why use it?
It catches workflow-specific risks that ordinary code linters may miss, such as pull-request data being inserted into shell commands or overly broad permissions. It also helps avoid unsafe code running with access to secrets or protected resources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit or write secure workflows, review GITHUB_TOKEN permissions, pin actions, handle fork and comment triggers, protect secrets, and assess cloud authentication or self-hosted runners.

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Install with agentmods
npx agentmods add skills/joao-aires/agent-skills-public/github-actions-hardening
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 joao-aires/agent-skills-public --skill github-actions-hardening
Clone the repo
git clone --depth 1 https://github.com/joao-aires/agent-skills-public

Made for: Claude Code, Codex.

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-hardening

README.md
[![agentmods](https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/github-actions-hardening/github.svg)](https://agentmods.dev/skills/joao-aires/agent-skills-public/github-actions-hardening)
Your own site
<a href="https://agentmods.dev/skills/joao-aires/agent-skills-public/github-actions-hardening"><img src="https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/github-actions-hardening/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-hardening

Your own site · 80×15
<a href="https://agentmods.dev/skills/joao-aires/agent-skills-public/github-actions-hardening"><img src="https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/github-actions-hardening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 191 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,282 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00191 $0.02282
Opus 5.5 $0.00076 $0.00913
Sonnet 5.5 $0.00038 $0.00456
Haiku 4.5 $0.00019 $0.00228

Measured yesterday against content hash 31a8e7483d97, 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-hardening scanned grade A with 0 findings 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 yesterday.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to github-actions-hardening — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/development-tooling/skills/github-actions-hardening/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Actions Hardening

A focused security reviewer for GitHub Actions workflows. It reasons about the Actions-specific threat model — where trust boundaries live in trigger types, token scopes, and string interpolation — rather than the application-code vulnerabilities a general security scanner looks for. Most workflow risks are invisible to language linters because the dangerous code is the YAML itself and the way GitHub expands ${{ }} expressions into a shell before your script runs.

When to Use This Skill

Use this skill when the request involves:

  • Reviewing, auditing, or hardening any file under .github/workflows/
  • Authoring a new workflow and wanting it secure by default
  • A workflow that uses pull_request_target, workflow_run, or issue_comment triggers
  • Questions about GITHUB_TOKEN permissions or the permissions: key
  • Pinning actions to commit SHAs vs tags vs branches
  • Handling untrusted input (issue titles, PR bodies, branch names, commit messages) in run: steps
  • OIDC / cloud authentication from Actions, or secret handling in CI
  • Self-hosted runners on public repositories
  • Any request like "is this workflow safe?", "secure my CI", or "review this GitHub Action"

The Core Insight

In a workflow, ${{ <expr> }} is expanded by the runner into the script before the shell executes it. So a step like:

- run: echo "Title: ${{ github.event.issue.title }}"

is not passing a variable — it is pasting attacker-controlled text directly into your shell command. An issue titled "; <attacker-command> # is concatenated into the script and executed. This single mechanism is the most common real-world Actions vulnerability, and models routinely generate it. Treat every ${{ }} that contains data an outside contributor can influence as a code-injection sink.

Execution Workflow

Follow these steps in order for every workflow reviewed.

Step 1 — Map the Triggers and Trust Level

Read every on: trigger and classify the workflow's privilege:

Read the full file on GitHub · 161 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 161 lines · 191 tokens per session scan A 31a8e7483d97

Subscribe to this mod's changes

github-actions-hardening is a skill published in the GitHub repository joao-aires/agent-skills-public (2 stars, last pushed yesterday), licensed MIT. It adds 191 tokens to every session and 2,282 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to github-actions-hardening, differing in 0 lines, and is treated as a copy.

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