Your AI agent called tools during a test run. Which calls violated policy, and what artifact can a reviewer inspect?
Assay records the run as an evidence bundle. This action verifies and lints that bundle, then turns the result into GitHub-native review surfaces: a job summary, SARIF, and an uploaded reports artifact.
By default, a PR fails only when bundle verification fails or Assay finds error-level evidence findings.
Use this if you run tests against agents that call Model Context Protocol (MCP) tools, HTTP APIs, or function-calling interfaces and want CodeQL-like review for the evidence captured while your tests ran.
This is the AI Agent Security action. On top of verify, lint, diff, compliance packs, BYOS push, artifact attestation, and coverage badges, v3 adds two optional inputs:
sandbox-command— run a coding agent underassay sandbox(Landlock, observe and record), producing an evidence bundle that the action lints.attest-key— sign the bundle's manifest as an in-toto/DSSE attestation viaassay evidence attest, exposed as theattestation_envelopeoutput.
Both are off by default. Pin @v3 for the current action. Historical commit
d4bd4bf47f34bbcbca2067c430d1c732c41bbb5b had mode/run inputs; neither
current @v2 nor current @v3 carries them.
When sandbox-command is set, the action writes the sandbox bundle into the
workspace at .assay/sandbox-command/evidence.tar.gz and includes that file in
the same verify and lint path as discovered bundles. A verify failure or a lint
finding at fail_on can fail the job. Earlier v3 releases linted the sandbox
bundle from the runner temp directory only and did not put it on that path, so
the same command could finish green.
The Action accepts explicit software release tags, including the published
historical aliases v1, v2, and v2.1. The v2 software release published
Linux assets only, so the installer rejects that alias on macOS; use v2.1 or a
newer release there. When version: latest is used, the Action requires
GitHub's latest release to be a stable vMAJOR.MINOR.PATCH software tag. The
downloaded checksum-bound binary must exit successfully and report the exact
version selected by that tag before the Action continues.
Assay's own repository tests this action shape in CI with repo-local evidence bundles. Use it alongside eval tools such as Promptfoo or similar CI eval tooling: they help score output quality; Assay preserves and reviews the tested capability boundary.
Paste the workflow below for the default sandbox evidence path. With
sandbox-command set, the action runs the command under assay sandbox using
the CLI default profile (mcp-server-minimal), materializes the bundle at
.assay/sandbox-command/evidence.tar.gz, verifies and lints it, and writes the
GitHub review surfaces. No separate policy.yaml is required for this
quickstart; custom policy authoring is a later step outside this default path.
Use this when you want the whole path in one workflow: install Assay, run a
command under assay sandbox on the default profile, then review the produced
sandbox-command evidence in GitHub.
name: assay-evidence
on:
pull_request:
push:
branches: [main]
permissions:
contents: read
security-events: write
pull-requests: write
jobs:
evidence:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Capture and review evidence
uses: Rul1an/assay-action@v3
with:
sandbox-command: "true"
baseline_key: ${{ github.event.repository.name }}
write_baseline: ${{ github.ref == 'refs/heads/main' }}
fail_on: errorThe action installs the released Assay binary, runs the capture command, uploads the named reports artifact, and fails the PR only after the review surfaces are written.
Ordering: install -> run -> upload artifacts -> fail. Reviewers always have the evidence, even on red.
## Assay Evidence Report
**Status:** Passed ✅
What fails this PR: bundle verification failure or error-level findings.
| Metric | Value |
|--------|-------|
| Bundles processed | 3 |
| Verified | 3 |
| Errors | 0 |
| Warnings | 1 |
| Baseline delta | +0 new error findings, +1 new warning findings vs main baseline |
| Finding diff | +1 added, -0 removed, 2 unchanged vs main baseline |
| Reports artifact | `assay-reports-123456789` |
Review the SARIF upload in the **Security** tab or download `assay-reports-123456789`.Keep a main-branch baseline so PRs get a small new-finding signal instead of only a run-level summary.
with:
baseline_key: ${{ github.event.repository.name }}
write_baseline: ${{ github.ref == 'refs/heads/main' }}When a baseline is available, the job summary includes the compact v2 signal,
such as +2 new error findings vs main baseline, plus a fuller finding diff:
+2 added, -1 removed, 4 unchanged vs main baseline. For PRs targeting
something other than main, the actual base branch is shown.
This is still intentionally small in v2: it trains the PR-review shape without pretending to be the full planned capability diff mode.
Baseline fingerprints use severity, rule ID, and canonical location. Messages stay advisory so wording-only changes do not create fake new-finding deltas.
Use this shorter form when your repo already creates .assay/evidence/*.tar.gz
in an earlier test step.
- name: Verify evidence artifacts
uses: Rul1an/assay-action@v3
with:
bundles: ".assay/evidence/*.tar.gz"
fail_on: errorNo bundle yet? The action exits cleanly with a job-summary hint instead of inventing evidence.
ASSAY-E003 filesystem-sensitive
Agent attempted to read /etc/passwd outside the allowed filesystem scope.
Non-MCP runs use the same review shape. An OpenAI function-calling test that
records tool calls as Assay evidence still ends in a bundle, lint findings,
SARIF, and the same reports artifact. Run that test in a normal workflow step
before the v3 review step above, or use v3's sandbox-command input.
Historical context: commit
d4bd4bf47f34bbcbca2067c430d1c732c41bbb5b
contained a capture example using mode and run. Neither current @v2 nor
current @v3 defines those inputs, so that syntax is history, not a workflow to
copy. Migrate by separating capture from the v3 review step or by using
sandbox-command.
Why it matters: this is the difference between "the test passed" and "the agent used a tool in a way reviewers did not approve." Assay does not claim the model is correct or safe. It makes the observed evidence boundary reviewable.
| Surface | Name / Location | Purpose |
|---|---|---|
| Job summary | GitHub Actions run summary | Fast PR review surface |
| Reports artifact | assay-reports-${{ github.run_id }} |
Downloadable evidence review pack |
| SARIF | .assay-reports/lint.sarif |
GitHub code scanning upload |
| JSON report | .assay-reports/lint.json |
Aggregated lint findings |
| Baseline delta | .assay-reports/baseline-diff.json |
Added/removed/unchanged finding signal vs baseline |
| Per-bundle SARIF | .assay-reports/lint-<bundle>.sarif |
Bundle-scoped projection |
The reports artifact is intentionally named and visible. If a reviewer asks
"what did this run check?", download assay-reports-${{ github.run_id }}.
When bundles are found, the action uploads the reports artifact even when the
final Assay threshold fails.
You can script assay evidence verify, assay evidence lint, SARIF upload, job
summary writing, artifact upload, and PR comments yourself. This action packages
that plumbing into one stable GitHub-native review step.
Use the CLI for evidence capture and local debugging. Use this action when you want the same evidence boundary to show up consistently in PRs.
For audit and compliance review, Assay bundles are content-addressed and verifiable review artifacts. They are useful evidence inputs for SOC 2, ISO/IEC 42001, or EU AI Act review processes, without claiming that the action makes you compliant.
v2 reviews the run. The planned diff mode will review what this PR changed about the agent capability surface.
Assay's planned diff mode is not exposed through the action yet, but an experimental script preview is available for people who want to inspect the early shape on their own bundles.
This preview is intentionally scripts only:
- no
mode: diffinaction.yml - no PR gate
- no production "versus main" baseline claim
- schema and CLI may change in any commit
Do not rely on the preview in production CI. Production capability diff remains blocked by ADR 0001 and ADR 0002.
bash scripts/diff_surface.sh main-run.tar.gz pr-run.tar.gzExample output:
# Agent capability diff
### Network endpoints
+ api.openai.com:443
### Tool calls
+ shell.exec
### Policy verdicts (deny)
+ filesystem-sensitive:/etc/hosts
Summary: +3 new, -0 removed across capability dimensions.See Experimental Capability Diff Preview for usage, guardrails, and the feedback path.
| Input | Default | Description |
|---|---|---|
bundles |
auto-discover | Glob pattern for evidence bundles |
sandbox-command |
empty | Linux-only command to run under assay sandbox; empty disables sandbox capture |
fail_on |
error |
Fail threshold: error, warn (or warning), info, none. The CLI validates the value. |
evidence_mode |
optional |
optional or required. required fails when discovery finds no bundles. Empty, whitespace-only, and unrecognized values fail closed. The default is declared only on the Action input. |
sarif |
true |
Upload SARIF to GitHub code scanning |
category |
auto-generated | SARIF category |
baseline_key |
repository key | Baseline cache lookup key |
baseline_dir |
empty | Local baseline reports directory containing lint.json |
write_baseline |
false |
Save baseline on main after a successful run |
comment_diff |
true |
Post a PR comment when findings, verification failures, or baseline finding diffs exist |
version |
latest |
Assay CLI version to install |
| Output | Description |
|---|---|
verified |
true if all indexed bundles passed integrity verification. Completed discovery with zero bundles emits the literal false, not an empty string. |
evidence_state |
absent, discovered, verified, or rejected. Empty when discovery produced no determination — it never ran, or it failed before indexing completed. |
evidence_index_path |
Workspace-relative path to the bounded evidence index. Populated whenever discovery completes, including optional zero evidence. |
evidence_index_digest |
SHA-256 of the exact evidence-index bytes. Populated with the path whenever discovery completes. |
findings_error |
Count of error-level findings |
findings_warn |
Count of warning-level findings |
findings_info |
Count of info-level findings |
sarif_path |
Path to generated SARIF |
diff_summary |
One-line evidence summary |
reports_dir |
Path to the reports directory before upload |
baseline_delta |
One-line new-finding summary versus the restored baseline |
baseline_found |
true if a baseline report was available for comparison |
baseline_new_findings |
Count of findings present in the current run but absent from the baseline |
baseline_removed_findings |
Count of findings present in the baseline but absent from the current run |
baseline_unchanged_findings |
Count of findings present in both the baseline and current run |
baseline_diff_detail |
One-line added, removed, and unchanged finding summary versus the restored baseline |
verified remains the legacy integrity flag. evidence_state names the same
integrity step without collapsing later lint or pack gates into it.
| Situation | verified |
evidence_state |
|---|---|---|
| Discovery ran and found no bundles | false |
absent |
| Bundles found, integrity not yet established | false |
discovered |
| Integrity passed; a later lint or pack gate may still fail the job | true |
verified |
| Integrity rejected | false |
rejected |
| Discovery did not complete | empty | empty |
evidence_state=verified means integrity verification completed. It is not a
policy, lint, or compliance result. When discovery did not run or failed before
indexing completed, these outputs stay empty; the action does not invent
absent.
A successful optional run with zero evidence writes a deterministic empty
index (bundles=[], complete=true), evidence_state=absent, and
verified=false. A missing index means discovery did not complete. complete
is true when every indexed row is verified or rejected, or when the
completed index has no rows.
The index lists every discovered bundle and any sandbox-command bundle that participated, each with a workspace-relative path and the SHA-256 of the exact bytes later verified. The 101st bundle fails the job; the action does not publish a truncated index as complete.
permissions:
contents: read
security-events: write # SARIF upload
pull-requests: write # Optional PR comment when findings existIf you disable SARIF and PR comments, contents: read is enough.
This action is a composite shell action and does not ship its own Node runtime. Its nested GitHub Actions dependencies are kept on Node 24-ready major lines where available:
| Dependency | Version |
|---|---|
actions/cache |
v5 |
actions/upload-artifact |
v7 |
peter-evans/find-comment |
v4 |
peter-evans/create-or-update-comment |
v5 |
github/codeql-action/upload-sarif |
v4 |
For self-hosted runners, keep the Actions runner current enough for Node 24 actions before upgrading pinned workflow dependencies.
This action reviews evidence bundles. The Assay CLI creates them with the released sandbox producer:
mkdir -p .assay/sandbox .assay/evidence/nested && assay sandbox --dry-run --profile .assay/sandbox/profile.yaml --bundle .assay/evidence/nested/sandbox.tar.gz -- trueThat writes a discoverable evidence bundle at .assay/evidence/nested/sandbox.tar.gz.
The bundle attests the sandbox command's observed effects. It does not attest
that a test suite passed.
For the artifact-first receipt path, see Evidence Receipts in Action, which shows how selected eval outcomes, runtime decisions, and model inventory become portable receipts and CI-reviewable artifacts.
- uses: Rul1an/assay-action@v3
with:
fail_on: warn- uses: Rul1an/assay-action@v3
with:
version: v3.9.2- uses: Rul1an/assay-action@v3
with:
sarif: falseWhat fails a PR?
By default, verification failures and error-level evidence findings fail the
job. Warnings are visible but do not fail unless fail_on: warn; info findings
only fail with fail_on: info.
Will this spam PRs?
No. PR comments are only posted when findings exist. The job summary is always available on the run.
Is this an eval runner?
No. This action reviews evidence artifacts that Assay already produced.
Is this only for MCP agents?
No. MCP policy enforcement is one sharp use case, but the action only needs Assay evidence bundles. If your test run can produce a bundle, the review step is the same.
Task-shaped reference docs. Each answers a single search-intent question with the same five-step pattern: problem, one workflow, canonical artifact, boundary, what it does not prove.
- MCP Tool Call Audit Trail in GitHub Actions
- Evidence Receipts from Promptfoo JSONL
- OpenFeature EvaluationDetails to CI Review Artifact
For lessons from building these, see the engineering blog.
- Assay CLI — the engine. Compiles policy and produces evidence bundles.
- Assay Harness — the recipe, gate, and report layer. Use it for multi-step baseline/candidate recipes and release-proof runs; this action is the single-step GitHub-native entry point for the same evidence bundles.
- Evidence Receipts in Action
MIT. See LICENSE.