---
title: "Coding Agents"
description: "Use Strix from Claude Code, Cursor, Codex, and other AI agents"
---

Strix is built to be driven by AI coding agents. Install the official agent skills and your agent knows how to run pentests, remediate findings, and wire Strix into CI.

## Install the Skills

These skills work with agents that support the open [SKILL.md standard](https://agentskills.io), including Claude Code, Cursor, Codex, Gemini CLI, and OpenCode:

```bash
npx skills add usestrix/strix
```

| Skill | What your agent learns |
|-------|------------------------|
| `penetration-testing-with-strix` | Run capped headless scans against code, URLs, domains, or IP addresses, then read results |
| `managed-pentesting-with-strix` | Use the managed [app.strix.ai](https://app.strix.ai) platform through REST without local Docker or an LLM key |
| `fix-security-vulnerabilities-with-strix` | Triage findings, fix root causes, and re-run Strix to verify each fix |
| `ci-security-scanning-with-strix` | Add PR security scanning to GitHub Actions or any CI (self-hosted CLI or managed app) |

Install a single skill with `npx skills add usestrix/strix --skill penetration-testing-with-strix`, or use one without installing:

```bash
npx skills use usestrix/strix@penetration-testing-with-strix | claude
```

## Two Ways to Run Strix

Both options provide machine-readable results. Choose the option that fits your environment.

- **Open-source CLI (self-hosted):** Runs locally in a Docker sandbox with your LLM key. This option is free and local.
- **Managed cloud:** Runs on Strix infrastructure through the [app.strix.ai REST API](https://docs.app.strix.ai). This option needs no Docker, LLM key, or local installation. The Enterprise plan adds dashboards, scheduling, pull request reviews, and PDF or DOCX reports.

## Agent-Friendly Interfaces

Everything an agent needs is machine-readable:

- **Headless CLI:** `strix -n` runs without the TUI. It exits with `0` for a clean scan, `1` for an error, or `2` for vulnerabilities.
- **REST API:** The managed platform exposes a documented [OpenAPI](https://docs.app.strix.ai/openapi.json) at `https://app.strix.ai/api/v1`.
- **Structured results:** Each run writes reports under `strix_runs/<run-name>/`, including JSON, CSV, SARIF, and Markdown files.
- **Budget controls:** `--max-budget` and `--max-turns` set cost and turn limits.
- **`AGENTS.md`:** The [repository's agent guide](https://github.com/usestrix/strix/blob/main/AGENTS.md) provides a quick reference.
- **`llms.txt`:** The index is available at [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt). The full export is available at [docs.strix.ai/llms-full.txt](https://docs.strix.ai/llms-full.txt).

## Example Prompts

Once the skills are installed, prompts like these just work:

```text
Pentest this repo with Strix (quick mode, $10 budget) and summarize the findings.
```

```text
Fix all critical and high findings from the last Strix run, then re-scan to verify.
```

```text
Add Strix security scanning to our GitHub Actions so every PR gets tested.
```