actionsec

Your CI pipeline runs with a write token and your secrets. actionsec checks it isn't a liability. It scans your GitHub Actions workflows for the handful of mistakes that actually get repos compromised — unpinned third-party actions, script injection from untrusted input, over-broad token permissions, and the pull_request_target footgun. Zero config, zero dependencies.

pip install actionsec
actionsec

.github/workflows/ci.yml
  ✗ critical  L12   pull-request-target-checkout  `pull_request_target` checks out PR head code — untrusted code runs with a write token and secrets
  ✗ critical  L16   script-injection              untrusted `github.event.pull_request.title` in a run step — pass it through an env: var instead
  ✗ high      L5    broad-permissions             `permissions: write-all` gives the token full read/write — scope it down
  ✗ high      L13   unpinned-action               `some-marketplace/deploy-action@main` is a mutable branch — pin to a full commit SHA
  ✗ medium    L10   unpinned-action               `actions/checkout@v4` is a mutable tag — pin to a full commit SHA

✗ 5 issue(s) in 1 of 1 file(s) — 2 critical, 2 high, 1 medium

Why

The 2025 supply-chain attacks (reviewdog, tj-actions/changed-files) all rode in through the same door: a workflow that trusted a mutable action tag, so when the upstream tag was repointed at malicious code, every consumer ran it — with a token that could push commits and read secrets. 71% of repos never pin actions to a SHA.

actionlint validates workflow syntax; zizmor does deep dataflow analysis but wants installation and config. actionsec fills the gap between them: a five-second, zero-config pass over the highest-impact security checks, small enough to drop in a pre-commit hook or a one-line CI step.

The checks

It is not a YAML validator (use actionlint) and not a deep dataflow analyzer (use zizmor). It's a fast, line-based first pass — which is also why it's zero-dependency: it never needs to parse YAML into a tree.

Usage

actionsec                       # scan ./.github/workflows
actionsec path/to/repo          # scan another repo's workflows
actionsec ci.yml release.yml    # scan specific files
actionsec --min-severity high   # only high + critical (good for a hard CI gate)
actionsec --format json         # machine-readable

Try it on the bundled example after cloning:

python -m actionsec examples    # → flags the deliberately-vulnerable demo workflow

In CI

actionsec exits non-zero when it finds issues, so it gates a pipeline directly. A common setup is to fail only on the serious stuff:

# .github/workflows/security.yml
- run: npx actionsec --min-severity high

Options

--min-severity <sev>   low | medium | high | critical (default: low)
--format text|json     output format (default: text)
-v, --version
-h, --help

Also available for Node

npx actionsec

Same checks, same severities, same exit codes — actionsec on npm.

Note: actionsec reads workflow files as text, so it works on any repo regardless of which language you install it from.

License

MIT