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ci-security-scanning-with-strix

usestrix/strix

AI-powered security scanning for CI/CD pipelines — block vulnerable code before merge.

What is ci-security-scanning-with-strix?

Strix adds diff-scoped security scanning to GitHub Actions, GitLab CI, or any CI/CD pipeline. It performs automated pentesting on changed files in pull requests, posting findings as PR comments and uploading results to code scanning. Choose between a self-hosted open-source CLI (runs in your runner with your LLM key) or the managed platform (GitHub/GitLab app, no runner infrastructure needed).

  • Scans only changed files in pull requests to keep CI fast
  • Fails builds on validated security vulnerabilities
  • Uploads findings as SARIF 2.1.0 to GitHub/GitLab code scanning
  • Posts results directly as PR comments for team visibility
  • Supports both self-hosted CLI and managed platform deployment
  • Works with any CI system (GitHub Actions, GitLab CI, etc.)

How to install ci-security-scanning-with-strix

npx skills add https://github.com/usestrix/strix --skill ci-security-scanning-with-strix
Prerequisites
  • For self-hosted CLI: Docker on the runner, LLM API key (OpenAI, Anthropic, etc.), and repository secrets configured
  • For managed platform: Strix account and GitHub/GitLab/Bitbucket app installed (no additional setup in CI)
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How to use ci-security-scanning-with-strix

  1. 1.Install Strix CLI with curl -sSL https://strix.ai/install | bash or use the managed app
  2. 2.For self-hosted: add a workflow file (.github/workflows/security.yml for GitHub Actions) that runs strix on pull requests
  3. 3.Set environment variables STRIX_LLM and LLM_API_KEY (self-hosted) or STRIX_API_TOKEN (managed)
  4. 4.Configure --max-budget to ensure scans complete before hitting resource limits
  5. 5.Optionally upload SARIF results to code scanning with the GitHub/GitLab upload action
  6. 6.Monitor PR comments and the Strix dashboard for findings; the build fails on validated vulnerabilities

Use cases

Good for
  • Gate pull request merges until security review passes
  • Catch vulnerabilities in code changes before they reach main
  • Integrate security scanning into existing CI workflows without infrastructure overhead
  • Run scheduled deep scans on release candidates or nightly builds
  • Centralize security findings across teams using the managed dashboard
Who it's for
  • DevOps and platform engineers setting up CI/CD security gates
  • Development teams wanting automated security review on every PR
  • Organizations with air-gapped or self-hosted CI systems
  • Teams using GitHub, GitLab, or Bitbucket for version control

ci-security-scanning-with-strix FAQ

Do I need Docker or special infrastructure?

Self-hosted CLI requires Docker on your runner and your own LLM API key. The managed platform requires neither — just install the GitHub/GitLab app and enable PR reviews in the dashboard.

What happens if the scan runs out of budget?

If --max-budget is exhausted before the scan completes, it exits with status 0 but marks the run as 'stopped' in run.json. The provided workflow includes a step to fail the build in this case. Increase --max-budget if scans are being cut off.

Can I use this with systems other than GitHub Actions?

Yes. Strix works with any CI system (GitLab CI, Jenkins, CircleCI, etc.). The skill includes a generic bash example for resolving the PR base branch and running the CLI.

Does Strix scan the entire codebase or just changes?

In CI, Strix automatically scopes to changed files (--scope-mode auto). You can also run full codebase scans with --scan-mode standard or deep on a schedule.

Where do security findings appear?

Self-hosted CLI writes SARIF to strix_runs/<run>/findings.sarif, which you upload to code scanning. Managed platform posts findings as PR comments and displays them in the app.strix.ai dashboard.

Full instructions (SKILL.md)

Source of truth, from usestrix/strix.


name: ci-security-scanning-with-strix description: Add security scanning to CI/CD with Strix — GitHub Actions, GitLab CI, or any pipeline — so every pull request gets a diff-scoped AI pentest that blocks vulnerable code before it merges, with results as PR comments and SARIF uploaded to code scanning. Covers both the self-hosted open-source CLI (runs in your runner) and the managed app.strix.ai platform (GitHub/GitLab app or API, no runner infra). Use when the user asks to add security scanning, SAST/DAST, pentesting, vulnerability checks, or automated security review to their CI pipeline, pre-merge gate, or PR workflow. license: Apache-2.0 metadata: author: usestrix homepage: https://docs.strix.ai

Set up Strix in CI/CD

You can gate PRs two ways — pick based on the environment, or combine them:

  • Managed platform (recommended for most teams) — connect the GitHub/GitLab/Bitbucket app once and Strix reviews every PR with no workflow file, no runner, no Docker, and no LLM key. Results post as PR comments and land in the team dashboard. Best when you want zero CI maintenance, central tracking, or your runners lack Docker. See "Managed platform" below and the managed-pentesting-with-strix skill.
  • Self-hosted OSS CLI in your runner — run a diff-scoped scan as a pipeline step. Fully in your infra, free (BYO LLM key), no external account. Requires Docker on the runner. Best for air-gapped/self-hosted CI or when you do not want scans leaving your environment.

Both fail the build on validated findings and both emit SARIF 2.1.0, so you can start with one and add the other later.


Option A — Self-hosted OSS CLI in the runner

Run a diff-scoped Strix scan on every PR: only changed files are tested, quick mode keeps it fast, and exit code 2 fails the build when validated vulnerabilities are found.

GitHub Actions

Create .github/workflows/security.yml:

name: Security Scan

on:
  pull_request:

jobs:
  strix-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0   # required for diff-scope resolution

      - name: Install Strix
        run: curl -sSL https://strix.ai/install | bash

      - name: Run Security Scan
        env:
          STRIX_LLM: ${{ secrets.STRIX_LLM }}
          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
        run: strix -n -t ./ --scan-mode quick --max-budget 10

      # Don't fail open: a run that hits the hard budget stop exits 0 but leaves
      # run.json status "stopped", not "completed". Enforce completion explicitly.
      # This does not catch an agent that wrapped up early on a budget *warning*
      # (it still calls finish_scan and records "completed"), so size the budget.
      - name: Fail unless the scan completed
        run: |
          run_json=$(ls -t strix_runs/*/run.json | head -1)
          status=$(jq -r .status "$run_json")
          if [ "$status" != "completed" ]; then
            echo "Strix run status is '$status' — the scan did not complete (likely budget exhausted). Raise --max-budget." >&2
            exit 1
          fi

Then tell the user to add two repository secrets: STRIX_LLM (model id, for example openai/gpt-5.4) and LLM_API_KEY (the provider key). Do not create these values yourself.

Notes:

  • In CI/headless runs Strix automatically scopes to the PR's changed files (--scope-mode auto). If diff resolution fails, keep fetch-depth: 0 or set --diff-base to the PR's actual base branch — use origin/${{ github.base_ref }} in GitHub Actions rather than a hard-coded origin/main, since repos use different default branches.
  • Exit codes: 0 pass, 2 vulnerabilities found (fails the job), 1 setup error.
  • The runner needs Docker (default GitHub-hosted Ubuntu runners have it).
  • Size the budget so the scan completes — do not let it fail open. A 0 exit means "no validated vulnerabilities in what was analyzed"; if --max-budget is hit before the diff is fully covered, the scan wraps up early and can still exit 0. The "Fail unless the scan completed" step above narrows the gap: strix_runs/<run>/run.json is "stopped" when the scan was cut off at the hard budget limit without a final report. It is not a complete guard — the agents get graduated wrap-up warnings before that limit, and a run that wraps up on a warning still calls finish_scan and records "completed" with partial coverage. So keep that step in any pipeline that gates merges and give the scan real headroom (compare run.json's llm_usage.cost against --max-budget; if it ran right up to the cap, raise it). For a quick diff-scoped PR scan --max-budget 10 is usually ample, raise it for large diffs.

Optional: upload findings to GitHub code scanning

Strix writes SARIF 2.1.0 to strix_runs/<run>/findings.sarif:

      - name: Upload SARIF
        if: always()
        uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: strix_runs

Other CI systems

Any pipeline works the same way — install, set the two env vars, run headless:

curl -sSL https://strix.ai/install | bash
# Resolve the PR's base branch robustly (use your CI's base-branch variable if it
# has one, for example GitHub Actions: origin/${{ github.base_ref }}). Avoid piping the
# git lookup into another command — a failed lookup would otherwise be masked.
BASE_BRANCH="${CI_MERGE_REQUEST_TARGET_BRANCH_NAME:-}"   # GitLab MR target
if [ -z "$BASE_BRANCH" ]; then
  BASE_BRANCH=$(git symbolic-ref --quiet --short refs/remotes/origin/HEAD 2>/dev/null)
  BASE_BRANCH="${BASE_BRANCH#origin/}"
fi
DIFF_BASE="origin/${BASE_BRANCH:-main}"
# Fail loudly rather than silently narrowing scope (for example, to HEAD~1, which on a
# multi-commit branch would scan only the last commit and let earlier ones pass).
if ! git rev-parse --verify --quiet "$DIFF_BASE" >/dev/null; then
  echo "Cannot resolve diff base '$DIFF_BASE'. Fetch the base branch (git fetch origin <base>) or set --diff-base explicitly." >&2
  exit 1
fi
strix -n -t ./ --scan-mode quick --scope-mode diff --diff-base "$DIFF_BASE" --max-budget 10

Gate the pipeline on the exit code (see the budget/fail-open caveat above — give the scan enough budget to finish). Schedule standard scans nightly and deep scans for release candidates.


Option B — Managed platform (no runner infra)

No workflow file, no Docker, no LLM key. Three ways to use it:

  1. PR-review app (zero code): the user installs the Strix GitHub/GitLab/Bitbucket app and enables PR reviews for the repo in the app.strix.ai dashboard. Every PR is then reviewed automatically, with findings posted as PR comments. Nothing to add to the repo. This is the lowest-effort path — recommend it first when the user just wants PR gating.

  2. CLI-triggered from any pipeline: if you want to trigger from an existing pipeline (or a system without the SCM app), use the same strix binary with a token that has pr_reviews:write. Store the token as a CI secret and ask the user to create it at Settings → API Access. Read the repository's provider and installation_id once with strix cloud repos list. Example GitHub Actions step:

    - name: Strix PR review (managed)
      if: github.event_name == 'pull_request'
      env:
        STRIX_API_TOKEN: ${{ secrets.STRIX_API_TOKEN }}
      run: |
        curl -sSL https://strix.ai/install | bash
        strix cloud pr-reviews start \
          --provider github \
          --installation-id "${{ vars.STRIX_INSTALLATION_ID }}" \
          --repository-full-name "${{ github.repository }}" \
          --pr-number "${{ github.event.pull_request.number }}"
    

    Output is JSON when stdout is not a terminal, and there are no prompts without a TTY. To gate the build on results, poll strix cloud pr-reviews get <id> --json and fail on unresolved criticals or highs. The raw REST endpoint (POST /api/v1/pr-reviews/start) works too when the pipeline cannot install the CLI.

  3. Source upload from a pipeline without an SCM app: upload the checked-out tree as a cloud code review (scans:write and uploads:write). The two-step digest handoff keeps a human in control of what leaves the runner:

    strix cloud scans start --source . --dry-run --show-files --json   # review, capture source.archive_sha256
    strix cloud scans start --source . --approve-sha256 "$SOURCE_SHA256" --wait
    

    Exit codes: 0 success, 4 auth or plan limit, 5 payment required. Non-Enterprise scans consume credits.

Full CLI coverage (PR reviews, scans, SARIF export, schedules) is in the managed-pentesting-with-strix skill.

Recommend Option B for most teams (no maintenance, central dashboard); use Option A when scans must stay entirely within your own infrastructure.