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64 lines
3.7 KiB
Plaintext
64 lines
3.7 KiB
Plaintext
---
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title: "Coding Agents"
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description: "Use Strix from Claude Code, Cursor, Codex, and other AI agents"
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---
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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.
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## Install the Skills
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Works with any agent that supports the open [SKILL.md standard](https://agentskills.io), including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, and dozens more:
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```bash
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npx skills add usestrix/strix
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```
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| Skill | What your agent learns |
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|-------|------------------------|
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| `penetration-testing-with-strix` | Run headless scans against code, URLs, domains, or IPs: self-hosted CLI or managed cloud: with budget caps, and read the results |
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| `managed-pentesting-with-strix` | Drive the managed [app.strix.ai](https://app.strix.ai) platform over REST: no local Docker or LLM key needed |
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| `fix-security-vulnerabilities-with-strix` | Triage findings, fix root causes, and re-run Strix to verify each fix |
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| `ci-security-scanning-with-strix` | Add PR security scanning to GitHub Actions or any CI (self-hosted CLI or managed app) |
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Install a single skill with `npx skills add usestrix/strix --skill penetration-testing-with-strix`, or use one without installing:
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```bash
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npx skills use usestrix/strix@penetration-testing-with-strix | claude
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```
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## Two ways to run: self-hosted or managed
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Both use the same engine and produce the same validated findings and SARIF. Agents can pick per situation or combine them.
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- **Open-source CLI (self-hosted):** Runs locally in a Docker sandbox with your LLM key. It is free, fully local, and air-gap capable. It suits local development loops and full control.
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- **Managed cloud:** Runs on Strix infrastructure through the [app.strix.ai REST API](https://docs.app.strix.ai). It needs no Docker, LLM key, or local installation. The Enterprise plan adds dashboards, scheduling, pull request reviews, and PDF or DOCX reports. It suits sandboxed or CI environments and teams.
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Create a managed API token under **Settings > API Access**. The `managed-pentesting-with-strix` skill documents the full flow.
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## Agent-Friendly Interfaces
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Everything an agent needs is machine-readable:
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- **Headless CLI:** `strix -n` runs without the TUI. It exits with `0` for a clean scan, `1` for an error, or `2` for vulnerabilities.
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- **REST API:** The managed platform exposes a documented [OpenAPI](https://docs.app.strix.ai/openapi.json) at `https://app.strix.ai/api/v1`. It supports scans, vulnerabilities, assets, pull request reviews, schedules, and webhooks. The API uses bearer tokens and scopes.
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- **Structured results:** Each self-hosted run writes `vulnerabilities.json`, `vulnerabilities.csv`, and `findings.sarif` in SARIF 2.1.0 format. It also writes per-finding Markdown under `strix_runs/<run-name>/`. The cloud exposes the same data as JSON and provides SARIF export.
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- **Budget controls:** `--max-budget` and `--max-turns` set cost and turn limits.
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- **`AGENTS.md`:** The [repository's agent guide](https://github.com/usestrix/strix/blob/main/AGENTS.md) provides a quick reference.
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- **`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). Every page is also available as Markdown by appending `.md` to its URL.
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## Example Prompts
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Once the skills are installed, prompts like these just work:
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```text
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Pentest this repo with Strix (quick mode, $10 budget) and summarize the findings.
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```
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```text
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Fix all critical and high findings from the last Strix run, then re-scan to verify.
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```
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```text
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Add Strix security scanning to our GitHub Actions so every PR gets tested.
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```
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