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find-security-vulnerabilities-in-code — Claude Code skill: audit code

The skill runs a white-box security review through Strix: agents read your source, model the data flow, then prove each finding with an exploit in a sandbox.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add usestrix/strix --skill find-security-vulnerabilities-in-code -a claude-code
Open on GitHub

What find-security-vulnerabilities-in-code does

The skill covers running Strix against a repo or a local working tree. Agents read the source to map routes, sinks and authorization checks, then attempt real exploitation inside a live sandbox. You get a short list of proven issues with a proof-of-concept instead of hundreds of "potential" hits from a pattern-matching scanner.

Everything runs through the strix binary. A local path is mounted into the sandbox writable, so agents can modify it — run against a clean checkout. Two things sharpen the results: a running instance of the app (-t ./ -t http://host.docker.internal:3000) and a narrow scope with an instruction about your tenancy model and trust boundaries. With nothing running, static findings stay unconfirmed.

Output lands in strix_runs/<run>/: penetration_test_report.md, one file per finding under vulnerabilities/, vulnerabilities.json and .csv, plus findings.sarif for code scanning. Exit 0 means nothing exploitable was proven in what was analyzed, not that the codebase is clean. This does not replace a dependency scanner or secret scanning: logic, authorization and injection bugs are what those tools structurally miss.

What it helps with

  • check authorization on admin routes in a multi-tenant app
  • prove an injection or SSRF finding with an exploit instead of trusting a scanner
  • review only what a branch changed rather than the whole repo
  • produce SARIF for upload to GitHub code scanning
  • separate real findings from hundreds of "potential" alerts

Example prompts for the agent

  • Run a security review on ./services/checkout with a budget of 20
  • Review this branch against origin/main and show only confirmed findings
  • Focus on the authorization layer in src/auth and every route under src/routes/admin

How to install find-security-vulnerabilities-in-code

1Skills CLI (Vercel)

npx skills add usestrix/strix --skill find-security-vulnerabilities-in-code -a claude-code

2Manually: put the files in place

~/.claude/skills/find-security-vulnerabilities-in-code/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/find-security-vulnerabilities-in-code/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about find-security-vulnerabilities-in-code

How do I install find-security-vulnerabilities-in-code in Claude Code?

Run npx skills add usestrix/strix --skill find-security-vulnerabilities-in-code -a claude-code. The skill lands in ~/.claude/skills/find-security-vulnerabilities-in-code/SKILL.md.

What does find-security-vulnerabilities-in-code do?

It drives Strix: agents read your source, reason about data flow and the authorization model, then try to exploit what they find in a sandbox. Each finding ships with a proof-of-concept.

How is it different from a dependency scanner?

Strix targets logic, authorization and injection bugs that SCA and secret scanning structurally cannot find. Keep those tools running alongside it.

Source text

SKILL.md · Apache-2.0
---
name: find-security-vulnerabilities-in-code
description: 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.
license: Apache-2.0
metadata:
  author: usestrix
  homepage: 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. For a run with no Docker and no LLM key, the same binary drives the managed platform: `strix cloud login`, then `strix cloud scans start ...` (details in **managed-pentesting-with-strix**).

## Run it

```bash
# 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

# Monorepo: point at the service that matters, not the whole tree
strix -n -t ./services/checkout --max-budget 20

# Only what a branch changed (whole-repo review is wasteful on a large repo)
strix -n -t ./ --scope-mode diff --diff-base origin/main --max-budget 10
```

A local path is mounted into the sandbox **writable**, so the agents can modify it. Run against a clean checkout.

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:
   ```bash
   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 cannot 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 cannot 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.

© usestrix · Apache-2.0 · usestrix/strix

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