gha-security-review

gha-security-review is a skill for Claude Code, Codex from drvoss/everything-copilot-cli. It costs 50 tokens per session (2,261 once invoked), scanned A, original, MIT.

Use when reviewing GitHub Actions workflows for exploitable vulnerabilities — finds pwn-request patterns, expression injection, credential escalation, config poisoning, and supply chain risks, and reports only HIGH and MEDIUM confidence findings with concrete attack paths.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/drvoss/everything-copilot-cli/gha-security-review
Any agent
npx skills add drvoss/everything-copilot-cli --skill gha-security-review
Clone the repo
git clone --depth 1 https://github.com/drvoss/everything-copilot-cli

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 gha-security-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/drvoss/everything-copilot-cli/gha-security-review.svg)](https://agentmods.dev/skills/drvoss/everything-copilot-cli/gha-security-review)
Your own site
<a href="https://agentmods.dev/skills/drvoss/everything-copilot-cli/gha-security-review"><img src="https://agentmods.dev/badge/skills/drvoss/everything-copilot-cli/gha-security-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,261 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00050 $0.02261
Opus 5 $0.00025 $0.01130
Sonnet 5 $0.00010 $0.00452
Haiku 4.5 $0.00005 $0.00226

Measured today against content hash acc36a6a6ba6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gha-security-review 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 today.

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.

skills/security/gha-security-review/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GHA Security Review

Review GitHub Actions workflows like an attacker would. Only report issues that can be reached from a realistic external trigger.

When to Use

  • Reviewing .github/workflows/*.yml or .github/workflows/*.yaml changes before merge
  • Auditing a repository that runs PR, issue comment, or reusable workflow automation
  • Checking whether workflow files expose secrets, write tokens, or command execution
  • Investigating CI/CD compromise paths involving fork PRs or untrusted workflow inputs

When NOT to Use

Instead of gha-security-review Use
Broad application security review security-scan
General repository trust scorecard evaluate-repository
Threat modeling a system architecture threat-model-analyst

Threat Model

Assume an attacker does not have repository write access.

They can:

  • open pull requests from forks
  • create issues
  • comment on issues or PRs
  • control PR titles, branch names, commit content in forked code, and comment bodies

They cannot:

  • push to protected branches
  • trigger workflow_dispatch manually
  • modify repository secrets directly

If exploitation requires write access, do not report it as an in-scope finding.

Workflow

1. Map the workflow attack surface

Review:

  • .github/workflows/*.yml or .github/workflows/*.yaml
  • action.yml or action.yaml
  • local reusable actions under .github/actions/
  • config or scripts loaded by workflows such as AGENTS.md, CLAUDE.md, Makefile, and shell scripts

Start by listing relevant files:

git --no-pager ls-files --cached --others --exclude-standard |
  Select-String "^(\\.github/(workflows|actions)/.+|scripts/.+|.+\\.sh|action\\.ya?ml|Makefile|AGENTS\\.md|CLAUDE\\.md)$" |
  ForEach-Object { $_.Line }

2. Classify triggers first

For each workflow, identify which external triggers matter:

  • pull_request_target
  • pull_request
  • issue_comment
  • workflow_call
  • push
  • schedule
  • workflow_dispatch

Read the full file on GitHub · 296 lines

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. today First seen · 296 lines · 50 tokens per session scan A acc36a6a6ba6

Subscribe to this mod's changes

gha-security-review is a skill published in the GitHub repository drvoss/everything-copilot-cli (45 stars, last pushed 8d ago), licensed MIT. It adds 50 tokens to every session and 2,261 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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