Borrowing it
Nothing to install: this file belongs to RorroRojas3/awesome-claude-copilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RorroRojas3/awesome-claude-copilot/main/.claude/skills/github-actions-hardening/SKILL.mdgit clone --depth 1 https://github.com/RorroRojas3/awesome-claude-copilotWrote 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.
[](https://agentmods.dev/skills/rorrorojas3/awesome-claude-copilot/github-actions-hardening)<a href="https://agentmods.dev/skills/rorrorojas3/awesome-claude-copilot/github-actions-hardening"><img src="https://agentmods.dev/badge/skills/rorrorojas3/awesome-claude-copilot/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.
<a href="https://agentmods.dev/skills/rorrorojas3/awesome-claude-copilot/github-actions-hardening"><img src="https://agentmods.dev/badge/skills/rorrorojas3/awesome-claude-copilot/github-actions-hardening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00116 | $0.02226 |
| Opus 5 | $0.00058 | $0.01113 |
| Sonnet 5 | $0.00023 | $0.00445 |
| Haiku 4.5 | $0.00012 | $0.00223 |
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 7d 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.
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.
This is a copy
94% identical to github-actions-hardening — 2 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.
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, orissue_commenttriggers - Questions about
GITHUB_TOKENpermissions or thepermissions: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:
What ships with it
5 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.
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.
- 7d ago First seen · 161 lines · 116 tokens per session scan A c174f0b80a0c
github-actions-hardening is a skill published in the GitHub repository RorroRojas3/awesome-claude-copilot (0 stars, last pushed 12d ago), licensed MIT. It adds 116 tokens to every session and 2,226 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to github-actions-hardening, differing in 2 lines, and is treated as a copy.
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