strix/skills/find-security-vulnerabilities-in-code/SKILL.md

name, description, license, metadata

name	description	license	metadata
find-security-vulnerabilities-in-code	Find security vulnerabilities in a codebase or repository with Strix — a white-box AI security review that reads your source, reasons about the actual data flow and authorization model, then exploits what it finds in a live sandbox so every reported issue has a working proof-of-concept instead of a noisy static-analysis alert. Covers injection, XSS, SSRF, broken access control and IDOR, insecure deserialization, secrets in code, unsafe dependencies, and business-logic flaws. Use when the user asks to security-scan, security-review, or audit their code, repo, or pull request for vulnerabilities.	Apache-2.0	author homepage usestrix https://docs.strix.ai

Find security vulnerabilities in code

White-box security review with Strix: the agents read the source to build a model of routes, sinks, and authorization checks, then attempt real exploitation. Findings come with a proof-of-concept, so the output is a short list of proven issues rather than the hundreds of "potential" hits a pattern-matching scanner produces.

Install, LLM setup, all flags, and the managed-cloud path are in the penetration-testing-with-strix skill.

Run it

# Local working tree
strix -n -t ./ --scan-mode standard --max-budget 15

# A GitHub repo directly
strix -n -t https://github.com/org/app --max-budget 15

# Large monorepo: bind-mount instead of copying in
strix -n --mount ./huge-monorepo --max-budget 20

Two things sharply improve results:

1. Add a running instance of the app. -t ./ -t http://host.docker.internal:3000 lets the agents confirm exploitability against live behavior instead of reasoning about it statically — this is the difference between "this looks unsafe" and a validated finding. If nothing is running, static-only findings should be described as unconfirmed.
2. Scope the review. Point at the risky subtree and say what matters:

   strix -n -t ./services/api --max-budget 15 \
     --instruction "Focus on the authorization layer in src/auth and every route under src/routes/admin. Multi-tenant app: tenant id comes from the JWT. Flag any query that filters by object id without also filtering by tenant."
   

   Tenancy model, trust boundaries, and which inputs are attacker-controlled are things the agents can't infer reliably — tell them.

Reviewing a pull request instead of the whole repo

For diff-scoped review of a branch or PR (and blocking merges on findings), use ci-security-scanning-with-strix — it covers diff scoping, PR comments, and SARIF upload to GitHub code scanning. The managed platform can also review PRs directly via API (managed-pentesting-with-strix).

Read the results

In strix_runs/<run>/: penetration_test_report.md (start here), vulnerabilities/*.md (one per finding, with PoC and remediation), vulnerabilities.json / .csv, findings.sarif (upload to code scanning), run.json.

Before reporting to the user, open each finding and check the PoC actually demonstrates impact. Report file and line alongside the exploit so the fix is obvious.

Exit 0 means nothing exploitable was proven in what was analyzed — not that the codebase is clean. Check run.json status and cost against --max-budget, and note which paths went unreviewed if the run was capped.

Complementary tooling

This is exploit-validated review, not an exhaustive inventory. Keep a dependency scanner (SCA) and secret scanning in place for complete coverage of known-CVE dependencies and committed credentials; use this for the logic, authorization, and injection bugs those tools structurally can't find.

Fix and verify

Hand results to fix-security-vulnerabilities-with-strix: patch the root cause (the shared authorization helper, not the one route), then re-run Strix to prove the exploit no longer works.