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gha-security-review

gha-security-review

github.com/sickn33Security48.8k80 installsUpdated today
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About gha-security-review

gha-security-review is a skill for reviewing GitHub Actions workflows, actions, and related scripts for vulnerabilities exploitable by external attackers. It requires evidence-based attack paths and concrete scenarios, and excludes theoretical or low-confidence findings.

Key features

  1. 01Threat model limited to external attackers
  2. 02Checks eight workflow vulnerability classes
  3. 03Requires traced attack scenarios for findings
  4. 04Reports only high- or medium-confidence issues
  5. 05Provides safe-pattern and validation checks

Use cases

  1. 01Reviewing pull_request_target workflows for unsafe fork-code execution
  2. 02Tracing expression injection in externally triggered workflows
  3. 03Assessing secrets, permissions, third-party actions, and runners
  4. 04Producing evidence-based findings for workflow files and scripts

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sickn33/agentic-awesome-skills --skill gha-security-review

After installing, type/gha-security-reviewin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

UPSTREAM-LICENSE.txt
UPSTREAM-NOTICE.md
references/
credential-escalation.md
expression-injection.md
comment-triggered-commands.md
permissions-and-secrets.md
pwn-request.md
ai-prompt-injection-via-ci.md
real-world-attacks.md
runner-infrastructure.md
supply-chain.md

Details

From the project README

Bundled upstream support

Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.

GitHub Actions Security Review

Find exploitable vulnerabilities in GitHub Actions workflows. Every finding MUST include a concrete exploitation scenario — if you cannot trace an attack path, do not report it as confirmed. Use harmless PoC sketches only; do not trigger workflows, exfiltrate secrets or post attacker content without explicit test authorization.

This skill encodes attack patterns from real GitHub Actions exploits — not generic CI/CD theory.

When to Use

  • You are reviewing GitHub Actions workflows for exploitable security issues.
  • The task requires tracing a concrete attack path from an external attacker to workflow execution or secret exposure.
  • You need a security review of workflow files, composite actions, or workflow-related scripts with evidence-based findings only.

Scope

Review the workflows provided (file, diff, or repo). Research the codebase as needed to trace complete attack paths before reporting.

Files to Review
  • .github/workflows/*.yml — all workflow definitions
  • action.yml / action.yaml — composite actions in the repo
  • .github/actions/*/action.yml — local reusable actions
  • Config files loaded by workflows: CLAUDE.md, AGENTS.md, Makefile, shell scripts under .github/
Out of Scope
  • Workflows in other repositories (only note the dependency)
  • GitHub App installation permissions (note if relevant)

Threat Model

Only report vulnerabilities exploitable by an external attacker — someone without write access to the repository. The attacker can open PRs from forks, create issues, and post comments. They cannot push to branches, trigger workflow_dispatch, or trigger manual workflows.

Do not flag vulnerabilities that require write access to exploit:

  • workflow_dispatch input injection — requires write access to trigger
  • Expression injection in push-only workflows on protected branches
  • workflow_call input injection where all callers are internal
  • Secrets in workflow_dispatch/schedule-only workflows

Confidence

Report only HIGH and MEDIUM confidence findings. Do not report theoretical issues.

ConfidenceCriteriaAction
HIGHTraced the full attack path, confirmed exploitableReport with exploitation scenario and fix
MEDIUMAttack path partially confirmed, uncertain linkReport as needs verification
LOWTheoretical or mitigated elsewhereDo not report

For each HIGH finding, provide all five elements:

  1. Entry point — How does the attacker get in? (fork PR, issue comment, branch name, etc.)
  2. Payload — What does the attacker send? (actual code/YAML/input)
  3. Execution mechanism — How does the payload run? (expression expansion, checkout + script, etc.)
  4. Impact — What does the attacker gain? (token theft, code execution, repo write access)
  5. PoC sketch — Concrete steps an attacker would follow

If you cannot construct all five, report as MEDIUM (needs verification).


Step 1: Classify Triggers and Load References

For each workflow, identify triggers and load the appropriate reference:

Trigger / PatternLoad Reference
pull_request_targetreferences/pwn-request.md
issue_comment with command parsingreferences/comment-triggered-commands.md
${{ }} in run: blocksreferences/expression-injection.md
PATs / deploy keys / elevated credentialsreferences/credential-escalation.md
Checkout PR code + config file loadingreferences/ai-prompt-injection-via-ci.md
Third-party actions (especially unpinned)references/supply-chain.md
permissions: block or secrets usagereferences/permissions-and-secrets.md
Self-hosted runners, cache/artifact usagereferences/runner-infrastructure.md
Any confirmed findingreferences/real-world-attacks.md

Load references selectively — only what's relevant to the triggers found.

Step 2: Check for Vulnerability Classes

Check 1: Pwn Request

Does the workflow use pull_request_target AND check out fork code?

  • Look for actions/checkout with ref: pointing to PR head
  • Look for local actions (./.github/actions/) that would come from the fork
  • Check if any run: step executes code from the checked-out PR
Check 2: Expression Injection

Are ${{ }} expressions used inside run: blocks in externally-triggerable workflows?

  • Map every ${{ }} expression in every run: step
  • Confirm the value is attacker-controlled (PR title, branch name, comment body — not numeric IDs, SHAs, or repository names)
  • Confirm the expression is in a run: block, not if:, with:, or job-level env:
Check 3: Unauthorized Command Execution

Does an issue_comment-triggered workflow execute commands without authorization?

  • Is there an author_association check?
  • Can any GitHub user trigger the command?
  • Does the command handler also use injectable expressions?
Check 4: Credential Escalation

Are elevated credentials (PATs, deploy keys) accessible to untrusted code?

  • What's the blast radius of each secret?
  • Could a compromised workflow steal long-lived tokens?
Check 5: Config File Poisoning

Does the workflow load configuration from PR-supplied files?

  • AI agent instructions: CLAUDE.md, AGENTS.md, .cursorrules
  • Build configuration: Makefile, shell scripts
Check 6: Supply Chain

Are third-party actions securely pinned?

Check 7: Permissions and Secrets

Are workflow permissions minimal? Are secrets properly scoped?

Check 8: Runner Infrastructure

Are self-hosted runners, caches, or artifacts used securely?

Safe Patterns (Do Not Flag)

Before reporting, check if the pattern is actually safe:

PatternWhy Safe
pull_request_target WITHOUT checkout of fork codeStill inspect metadata injection, actions, artifacts and other untrusted inputs
${{ github.event.pull_request.number }} in run:Numeric only — not injectable
${{ github.repository }} / github.repository_ownerRepo owner controls this
${{ secrets.* }}Not an expression injection vector
${{ }} in if: conditionsEvaluated by Actions runtime, not shell
${{ }} in with: inputsNo automatic shell interpolation here; trace how the action consumes the input
Actions pinned to full SHAPins that action source; not proof of safe code or immutable runtime downloads
pull_request trigger (not _target)Fork token/secrets are normally restricted; same-repo PRs, settings and self-hosted infrastructure still need review
Any expression in workflow_dispatch/schedule/push to protected branchesRequires write access — outside threat model

Key distinction: ${{ }} is dangerous in run: blocks (shell expansion) while if:, with: and env: avoid that direct substitution sink; downstream eval, shell-built commands, JavaScript execution and unsafe action inputs can reintroduce injection.

Step 3: Validate Before Reporting

Before including any finding, read the actual workflow YAML and trace the complete attack path:

  1. Read the full workflow — don't rely on grep output alone
  2. Trace the trigger — confirm the event and check if: conditions that gate execution
  3. Trace the expression/checkout — confirm it's in a run: block or actually references fork code
  4. Confirm attacker control — verify the value maps to something an external attacker sets
  5. Check existing mitigations — env var wrapping, author_association checks, restricted permissions, SHA pinning

If any link is broken, mark MEDIUM (needs verification) or drop the finding.

If no checks produced a finding, report zero findings. Do not invent issues.

Step 4: Report Findings

## GitHub Actions Security Review

### Findings

#### [GHA-001] [Title] (Severity: Critical/High/Medium)
- **Workflow**: `.github/workflows/release.yml:15`
- **Trigger**: `pull_request_target`
- **Confidence**: HIGH — confirmed through attack path tracing
- **Exploitation Scenario**:
  1. [Step-by-step attack]
- **Impact**: [What attacker gains]
- **Fix**: [Code that fixes the issue]

### Needs Verification
[MEDIUM confidence items with explanation of what to verify]

### Reviewed and Cleared
[Workflows reviewed and confirmed safe]

If no findings: "No exploitable vulnerabilities identified within the reviewed scope and stated assumptions." List unread workflows, inaccessible settings and unverified runtime links; do not certify all workflows safe.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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