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strix - 一款实用的开源工具
推荐一个实用的开源工具——**strix**。项目由usestrix开发维护，GitHub上获得了 **61007** 个Star。简单来说，它是一款开源人工智能渗透测试工具，用于查找和修复应用程序的漏洞。，对于站长和开发者来说是个不错的工具。 # # 工具功能介绍 ### The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. > [!TIP] > **New!** Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - [Get started with no setup required](https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=tip_ci).---## Strix OverviewStrix are autonomous AI penetration testing agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proofs-of-concept. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.**Key Capabilities:**- **Full pentesting toolkit** - reconnaissance, exploitation, and validation out of the box - **Multi-agent orchestration** - teams of AI pentesters that collaborate and scale - **Real exploit validation** - working PoCs, not false positives like legacy vulnerability scanners - **Developer‑first CLI** - actionable findings with remediation guidance - **Auto‑fix & reporting** - generate patches and compliance-ready pentest reports# # Use Cases- **Application Security Testing** - Detect and validate critical vulnerabilities in your applications - **Rapid Penetration Testing** - Get penetration tests done in hours, not weeks, with compliance reports - **Bug Bounty Automation** - Automate bug bounty research and generate PoCs for faster reporting - **CI/CD Integration** - Run tests in CI/CD to block vulnerabilities before reaching production## 🚀 Quick Start**Prerequisites:** - Docker (running) - An LLM API key from any [supported provider](https://docs.strix.ai/llm-providers/overview) (OpenAI, Anthro, Google, etc.)### Installation & First Scan bash # Install Strix curl -sSL https://strix.ai/install | bash # Configure your AI provider export STRIX_LLM="openrouter/z-ai/glm-5.3" export LLM_API_KEY="your-api-key" # Run your first security assessment strix --target ./app-directory > [!NOTE] > First run automatically pulls the sandbox Docker . Results are saved to `strix_runs/`---## Ways to Run Strix- **Open Source** - free, runs locally with Docker and your own LLM key. [Quick Start](https://docs.strix.ai/quickstart) - **Strix Cloud** - no setup, validated findings, one-click autofix, and PR reviews. [Run a pentest →](https://app.strix.ai?intent=pentest&utm_source=github&utm_medium=readme&utm_content=table_cloud) - **Enterprise** - SSO, compliance-ready reports, VPC or self-hosted deployment. [Try Strix Enterprise →](https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=table_demo)---## ☁️ Strix CloudTry the Strix full-stack penetration testing platform at **[app.strix.ai](https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=cloud_heading)** - sign up for free, connect your repos and domains, and launch a pentest in minutes.- **Validated findings with PoCs** - every vulnerability includes a working proof-of-concept exploit and reproduction steps - **One-click autofix** - AI-generated security patches as ready-to-merge pull requests - **Continuous pentesting** - always-on vulnerability scanning that keeps pace with your deployments - **DevSecOps integrations** - GitHub, GitLab, Bitbucket, Slack, Jira, Linear, and CI/CD pipelines - **Continuous learning** - AI that builds on past findings, adapts to your codebase, and reduces false positives over time[**Run a pentest →**](https://app.strix.ai?intent=pentest&utm_source=github&utm_medium=readme&utm_content=cloud_cta)## 🏢 EnterpriseGet the same Strix experience with enterprise-grade controls: SSO (SAML/OIDC), custom compliance-ready penetration testing reports (SOC 2, ISO 27001, PCI DSS), dedicated support and SLA, custom deployment options (VPC or self-hosted), BYOK model support, and tailored AI pentesting agents optimized for your environment.[**Try Strix Enterprise →**](https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=enterprise_cta)--- ## 🤖 Use Strix from Your Coding AgentStrix is agent-ready. Give Claude Code, Cursor, Codex, or any [SKILL.md-compatible](https://agentskills.io) agent the ability to run pentests, fix findings, and set up CI scanning: bash npx skills add usestrix/strix This installs nine skills for running pentests, fixing findings, and CI scanning, against code, web apps, APIs, and the OWASP Top 10. Agents can use the local CLI or the managed cloud with the same engine.See [`AGENTS.md`](AGENTS.md) for the quick reference, [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt) for the CLI, and [docs.app.strix.ai](https://docs.app.strix.ai) for the API.--- ## ✨ Features ### Agentic Pentesting ToolsStrix agents come equipped with a comprehensive offensive security toolkit - the same tools used by professional penetration testers and ethical hackers:- **HTTP Interception Proxy** - Full request/response manipulation and analysis with Caido - **Browser Exploitation** - Automated browser for testing XSS, CSRF, clickjacking, and auth bypass flows - **Shell & Command Execution** - Interactive terminal for exploit development and post-exploitation - **Custom Exploit Runtime** - Python sandbox for writing and validating proof-of-concept exploits - **Reconnaissance & OSINT** - Automated attack surface mapping, subdomain enumeration, and fingerprinting - **Static & Dynamic Code Analysis** - SAST + DAST capabilities for comprehensive application security testing - **Vulnerability Knowledge Base** - Structured findings with CVSS scoring and OWASP classification### Comprehensive Vulnerability ScannerStrix identifies, validates, and exploits a wide range of security vulnerabilities across the OWASP Top 10 and beyond:- **Broken Access Control** - IDOR, privilege escalation, auth bypass - **Injection Attacks** - SQL injection, NoSQL injection, OS command injection, SSTI - **Server-Side Vulnerabilities** - SSRF, XXE, insecure deserialization, RCE - **Client-Side Attacks** - XSS (stored/reflected/DOM), prototype pollution, CSRF - **Business Logic Flaws** - Race conditions, payment manipulation, workflow bypass - **Authentication & Session** - JWT attacks, session fixation, credential stuffing vectors - **Infrastructure & Cloud** - Misconfigurations, exposed services, cloud security issues - **API Security** - Broken authentication, mass assignment, rate limiting bypass### Graph of Agents (Multi-Agent Pentesting)Advanced multi-agent orchestration for comprehensive automated penetration testing:- **Distributed Pentesting** - Specialized AI agents for recon, exploitation, and post-exploitation - **Scalable Security Testing** - Parallel execution across multiple targets for fast, comprehensive coverage - **Dynamic Coordination** - Agents share discoveries, chain vulnerabilities, and collaborate like a red team---## 🖥️ Local Web ViewerEvery scan writes its results to disk as it runs. Bring them up in a local dashboard with a single command: bash # Open the most recent run strix view # ...or open a specific run by name strix view my-run-name # Expose the viewer on all IPv4 interfaces at a fixed port strix view --host 0.0.0.0 --port 8080 --no-open The dashboard shows the findings, a live map of the agent team, and past runs. Nothing leaves your machine, and the UI ships prebuilt. `strix view` binds to `127.0.0.1` and prints a tokened link that grants access to the run, so share it carefully.See the [viewer documentation](https://docs.strix.ai/usage/viewer) for the options and for reaching the viewer from another machine.--- ## Usage Examples ### Basic Usage bash # Scan a local codebase strix --target ./app-directory # Security review of a GitHub repository strix --target https://github.com/org/repo # Black-box web application assessment strix --target https://your-app.com ### API Testing (OpenAPI / Swagger / Postman)Point Strix at an API contract and it tests every declared endpoint instead of having to discover them by crawling. Pair the spec with the live base URL so the agent knows where to send traffic: bash # OpenAPI / Swagger file, Postman export, or a live collection by id strix --target ./openapi.yaml --target https://api.your-app.com strix --target postman:// --target https://api.your-app.com ### Advanced Testing Scenarios bash # Grey-box authenticated testing strix --target https://your-app.com --instruction "Perform authenticated testing using credentials: user:pass" # Multi-target testing (source code + deployed app) strix -t https://github.com/org/app -t https://your-app.com # Targets from a file, one target per non-empty, non-comment line strix --target-list ./targets.txt See the [CLI reference](https://docs.strix.ai/usage/cli) for every option, including scan modes, diff scope, instruction files, and budgets. ### Headless ModeRun Strix programmatically without interactive UI using the `-n/--non-interactive` flag - perfect for servers and automated jobs. The CLI prints real-time vulnerability findings and the final report before exiting. Exits with non-zero code when vulnerabilities are found. bash strix -n --target https://your-app.com ### CI/CD (GitHub Actions)Strix can be added to your pipeline to run a security test on pull requests with a lightweight GitHub Actions workflow: yaml name: strix-penetration-teston: pull_request:jobs: security-scan: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 with: fetch-depth: 0- name: Install Strix run: curl -sSL https://strix.ai/install | bash- name: Run Strix env: STRIX_LLM: ${{ secrets.STRIX_LLM }} LLM_API_KEY: ${{ secrets.LLM_API_KEY }}run: strix -n -t ./ --scan-mode quick > [!TIP] > In CI pull request runs, Strix automatically scopes quick reviews to changed files, which is why the > checkout above fetches full history. See the > [CI/CD documentation](https://docs.strix.ai/integrations/github-actions) for the details.### Configuration bash export STRIX_LLM="openrouter/z-ai/glm-5.3" export LLM_API_KEY="your-api-key" # Optional export LLM_API_BASE="your-api-base-url" # if using a local model, e.g. Ollama, LMStudio > [!NOTE] > Strix automatically saves your configuration to `~/.strix/cli-config.json`, so you don't have to re-enter it on every run. > See the [configuration reference](https://docs.strix.ai/advanced/configuration) for every environment variable.#### Sign in with a ChatGPT subscriptionInstead of a metered API key, you can run Strix on your ChatGPT Plus/Pro subscription: bash strix auth login chatgpt # sign in with your ChatGPT account export STRIX_LLM="chatgpt/gpt-5.4" # chatgpt/ runs on the subscription strix auth status # show the active sign-in, or logout to forget it #### Use the managed platform: `strix cloud`Run scans on [app.strix.ai](https://app.strix.ai) from the terminal, without Docker or an LLM key: bash strix cloud login # browser sign-in, one credential per install strix cloud scans start --source . --yes --wait # scan local code, approving the upload strix cloud scans start --engagement-type live_test --domain-ids --wait strix cloud vulns list --severity critical Every [REST API](https://docs.app.strix.ai) operation has a matching `strix cloud ` command. Run `strix cloud` to list the resources, and add `help` to a resource to list its verbs. Output is JSON when stdout is not a terminal or when you pass `--json`. Binary downloads are the exception: redirect the raw bytes, or combine `--output FILE --json` for download metadata.See the [cloud CLI documentation](https://docs.strix.ai/cloud/cli) for scopes, workspaces, billing, and source-upload options. #### Connect your own MCP serversStrix can connect to Model Context Protocol (MCP) servers you list and expose their tools to the agent during a run. Create `~/.strix/mcp-servers.json` with a JSON list of local `stdio` servers or remote `http` servers: json [ { "name": "github", "transport": "http", "url": "https://api.githubcopilot.com/mcp/", "auth": { "kind": "bearer", "token": "your-token" }, "allowed_tools": ["list_issues"] } ] Each server's tools are namespaced by `name`, for example `github_list_issues`. See the [MCP documentation](https://docs.strix.ai/integrations/mcp) for the full schema, tool filtering, and `stdio` servers.**Recommended models for best results:**- [Z.ai GLM-5.3 on OpenRouter](https://openrouter.ai/z-ai/glm-5.3) - `openrouter/z-ai/glm-5.3` (the default k) - [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4` - [AnthroClaude Sonnet 4.6](https://claude.com/platform/api) - `anthro/claude-sonnet-4-6` - [Google Gemini 3 Pro Preview](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-3-pro-preview` - [DeepSeek V4 Pro](https://platform.deepseek.com) - `deepseek/deepseek-v4-pro` - [Moonshot Kimi K3](https://platform.kimi.ai) - `moonshot/kimi-k3`See the [LLM Providers documentation](https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models.## Documentation Full documentation is available at **[docs.strix.ai](https://docs.strix.ai)** - including detailed guides for usage, CI/CD integrations, skills, and advanced configuration. ## Contributing We welcome contributions of code, docs, and new skills - check out our [Contributing Guide](https://docs.strix.ai/contributing) to get started or open a [pull request](https://github.com/usestrix/strix/pulls)/[issue](https://github.com/usestrix/strix/issues). ## Join Our CommunityHave questions? Found a bug? Want to contribute? **[Join our Discord!](https://discord.gg/strix-ai)** ## Support the Project**Love Strix?** Give us a ⭐ on GitHub! ## Acknowledgements Strix builds on the incredible work of open-source projects like [LiteLLM](https://github.com/BerriAI/litellm), [Caido](https://github.com/caido/caido), [Nuclei](https://github.com/projectdiscovery/nuclei), [Playwright](https://github.com/microsoft/playwright), and [Bubble Tea](https://github.com/charmbracelet/bubbletea). Huge thanks to their maintainers!> [!WARNING] > **Authorized use only.** Strix actively tests the targets you point it at, so only run it against systems you own or have **explicit, written permission** to test, and stay within the agreed scope. Unauthorized testing is illegal in most jurisdictions. > You alone are responsible for obtaining authorization and complying with the law. Strix is provided "as is" with no warranty or liability for misuse.{card-default label="📦 工具信息" /} 🔗 项目地址：[https://github.com/usestrix/strix](https://github.com/usestrix/strix) ⭐ Star数：61007 💻 开发语言：Python 📝 项目描述：开源人工智能渗透测试工具，用于查找和修复应用程序的漏洞。 {/card-default} 总的来说，**strix**是一个功能比较实用的开源工具，适合日常工作和学习使用。如果你正在寻找一款相关工具，不妨下载试试。使用前建议仔细阅读项目文档。
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strix - 一款实用的开源工具
推荐一个实用的开源工具——**strix**。项目由usestrix开发维护，GitHub上获得了 **61007** 个Star。简单来说，它是一款开源人工智能渗透测试工具，用于查找和修复应用程序的漏洞。，对于站长和开发者来说是个不错的工具。 # # 工具功能介绍 ### The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. > [!TIP] > **New!** Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - [Get started with no setup required](https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=tip_ci).---## Strix OverviewStrix are autonomous AI penetration testing agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proofs-of-concept. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.**Key Capabilities:**- **Full pentesting toolkit** - reconnaissance, exploitation, and validation out of the box - **Multi-agent orchestration** - teams of AI pentesters that collaborate and scale - **Real exploit validation** - working PoCs, not false positives like legacy vulnerability scanners - **Developer‑first CLI** - actionable findings with remediation guidance - **Auto‑fix & reporting** - generate patches and compliance-ready pentest reports# # Use Cases- **Application Security Testing** - Detect and validate critical vulnerabilities in your applications - **Rapid Penetration Testing** - Get penetration tests done in hours, not weeks, with compliance reports - **Bug Bounty Automation** - Automate bug bounty research and generate PoCs for faster reporting - **CI/CD Integration** - Run tests in CI/CD to block vulnerabilities before reaching production## 🚀 Quick Start**Prerequisites:** - Docker (running) - An LLM API key from any [supported provider](https://docs.strix.ai/llm-providers/overview) (OpenAI, Anthro, Google, etc.)### Installation & First Scan bash # Install Strix curl -sSL https://strix.ai/install | bash # Configure your AI provider export STRIX_LLM="openrouter/z-ai/glm-5.3" export LLM_API_KEY="your-api-key" # Run your first security assessment strix --target ./app-directory > [!NOTE] > First run automatically pulls the sandbox Docker . Results are saved to `strix_runs/`---## Ways to Run Strix- **Open Source** - free, runs locally with Docker and your own LLM key. [Quick Start](https://docs.strix.ai/quickstart) - **Strix Cloud** - no setup, validated findings, one-click autofix, and PR reviews. [Run a pentest →](https://app.strix.ai?intent=pentest&utm_source=github&utm_medium=readme&utm_content=table_cloud) - **Enterprise** - SSO, compliance-ready reports, VPC or self-hosted deployment. [Try Strix Enterprise →](https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=table_demo)---## ☁️ Strix CloudTry the Strix full-stack penetration testing platform at **[app.strix.ai](https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=cloud_heading)** - sign up for free, connect your repos and domains, and launch a pentest in minutes.- **Validated findings with PoCs** - every vulnerability includes a working proof-of-concept exploit and reproduction steps - **One-click autofix** - AI-generated security patches as ready-to-merge pull requests - **Continuous pentesting** - always-on vulnerability scanning that keeps pace with your deployments - **DevSecOps integrations** - GitHub, GitLab, Bitbucket, Slack, Jira, Linear, and CI/CD pipelines - **Continuous learning** - AI that builds on past findings, adapts to your codebase, and reduces false positives over time[**Run a pentest →**](https://app.strix.ai?intent=pentest&utm_source=github&utm_medium=readme&utm_content=cloud_cta)## 🏢 EnterpriseGet the same Strix experience with enterprise-grade controls: SSO (SAML/OIDC), custom compliance-ready penetration testing reports (SOC 2, ISO 27001, PCI DSS), dedicated support and SLA, custom deployment options (VPC or self-hosted), BYOK model support, and tailored AI pentesting agents optimized for your environment.[**Try Strix Enterprise →**](https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=enterprise_cta)--- ## 🤖 Use Strix from Your Coding AgentStrix is agent-ready. Give Claude Code, Cursor, Codex, or any [SKILL.md-compatible](https://agentskills.io) agent the ability to run pentests, fix findings, and set up CI scanning: bash npx skills add usestrix/strix This installs nine skills for running pentests, fixing findings, and CI scanning, against code, web apps, APIs, and the OWASP Top 10. Agents can use the local CLI or the managed cloud with the same engine.See [`AGENTS.md`](AGENTS.md) for the quick reference, [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt) for the CLI, and [docs.app.strix.ai](https://docs.app.strix.ai) for the API.--- ## ✨ Features ### Agentic Pentesting ToolsStrix agents come equipped with a comprehensive offensive security toolkit - the same tools used by professional penetration testers and ethical hackers:- **HTTP Interception Proxy** - Full request/response manipulation and analysis with Caido - **Browser Exploitation** - Automated browser for testing XSS, CSRF, clickjacking, and auth bypass flows - **Shell & Command Execution** - Interactive terminal for exploit development and post-exploitation - **Custom Exploit Runtime** - Python sandbox for writing and validating proof-of-concept exploits - **Reconnaissance & OSINT** - Automated attack surface mapping, subdomain enumeration, and fingerprinting - **Static & Dynamic Code Analysis** - SAST + DAST capabilities for comprehensive application security testing - **Vulnerability Knowledge Base** - Structured findings with CVSS scoring and OWASP classification### Comprehensive Vulnerability ScannerStrix identifies, validates, and exploits a wide range of security vulnerabilities across the OWASP Top 10 and beyond:- **Broken Access Control** - IDOR, privilege escalation, auth bypass - **Injection Attacks** - SQL injection, NoSQL injection, OS command injection, SSTI - **Server-Side Vulnerabilities** - SSRF, XXE, insecure deserialization, RCE - **Client-Side Attacks** - XSS (stored/reflected/DOM), prototype pollution, CSRF - **Business Logic Flaws** - Race conditions, payment manipulation, workflow bypass - **Authentication & Session** - JWT attacks, session fixation, credential stuffing vectors - **Infrastructure & Cloud** - Misconfigurations, exposed services, cloud security issues - **API Security** - Broken authentication, mass assignment, rate limiting bypass### Graph of Agents (Multi-Agent Pentesting)Advanced multi-agent orchestration for comprehensive automated penetration testing:- **Distributed Pentesting** - Specialized AI agents for recon, exploitation, and post-exploitation - **Scalable Security Testing** - Parallel execution across multiple targets for fast, comprehensive coverage - **Dynamic Coordination** - Agents share discoveries, chain vulnerabilities, and collaborate like a red team---## 🖥️ Local Web ViewerEvery scan writes its results to disk as it runs. Bring them up in a local dashboard with a single command: bash # Open the most recent run strix view # ...or open a specific run by name strix view my-run-name # Expose the viewer on all IPv4 interfaces at a fixed port strix view --host 0.0.0.0 --port 8080 --no-open The dashboard shows the findings, a live map of the agent team, and past runs. Nothing leaves your machine, and the UI ships prebuilt. `strix view` binds to `127.0.0.1` and prints a tokened link that grants access to the run, so share it carefully.See the [viewer documentation](https://docs.strix.ai/usage/viewer) for the options and for reaching the viewer from another machine.--- ## Usage Examples ### Basic Usage bash # Scan a local codebase strix --target ./app-directory # Security review of a GitHub repository strix --target https://github.com/org/repo # Black-box web application assessment strix --target https://your-app.com ### API Testing (OpenAPI / Swagger / Postman)Point Strix at an API contract and it tests every declared endpoint instead of having to discover them by crawling. Pair the spec with the live base URL so the agent knows where to send traffic: bash # OpenAPI / Swagger file, Postman export, or a live collection by id strix --target ./openapi.yaml --target https://api.your-app.com strix --target postman:// --target https://api.your-app.com ### Advanced Testing Scenarios bash # Grey-box authenticated testing strix --target https://your-app.com --instruction "Perform authenticated testing using credentials: user:pass" # Multi-target testing (source code + deployed app) strix -t https://github.com/org/app -t https://your-app.com # Targets from a file, one target per non-empty, non-comment line strix --target-list ./targets.txt See the [CLI reference](https://docs.strix.ai/usage/cli) for every option, including scan modes, diff scope, instruction files, and budgets. ### Headless ModeRun Strix programmatically without interactive UI using the `-n/--non-interactive` flag - perfect for servers and automated jobs. The CLI prints real-time vulnerability findings and the final report before exiting. Exits with non-zero code when vulnerabilities are found. bash strix -n --target https://your-app.com ### CI/CD (GitHub Actions)Strix can be added to your pipeline to run a security test on pull requests with a lightweight GitHub Actions workflow: yaml name: strix-penetration-teston: pull_request:jobs: security-scan: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 with: fetch-depth: 0- name: Install Strix run: curl -sSL https://strix.ai/install | bash- name: Run Strix env: STRIX_LLM: ${{ secrets.STRIX_LLM }} LLM_API_KEY: ${{ secrets.LLM_API_KEY }}run: strix -n -t ./ --scan-mode quick > [!TIP] > In CI pull request runs, Strix automatically scopes quick reviews to changed files, which is why the > checkout above fetches full history. See the > [CI/CD documentation](https://docs.strix.ai/integrations/github-actions) for the details.### Configuration bash export STRIX_LLM="openrouter/z-ai/glm-5.3" export LLM_API_KEY="your-api-key" # Optional export LLM_API_BASE="your-api-base-url" # if using a local model, e.g. Ollama, LMStudio > [!NOTE] > Strix automatically saves your configuration to `~/.strix/cli-config.json`, so you don't have to re-enter it on every run. > See the [configuration reference](https://docs.strix.ai/advanced/configuration) for every environment variable.#### Sign in with a ChatGPT subscriptionInstead of a metered API key, you can run Strix on your ChatGPT Plus/Pro subscription: bash strix auth login chatgpt # sign in with your ChatGPT account export STRIX_LLM="chatgpt/gpt-5.4" # chatgpt/ runs on the subscription strix auth status # show the active sign-in, or logout to forget it #### Use the managed platform: `strix cloud`Run scans on [app.strix.ai](https://app.strix.ai) from the terminal, without Docker or an LLM key: bash strix cloud login # browser sign-in, one credential per install strix cloud scans start --source . --yes --wait # scan local code, approving the upload strix cloud scans start --engagement-type live_test --domain-ids --wait strix cloud vulns list --severity critical Every [REST API](https://docs.app.strix.ai) operation has a matching `strix cloud ` command. Run `strix cloud` to list the resources, and add `help` to a resource to list its verbs. Output is JSON when stdout is not a terminal or when you pass `--json`. Binary downloads are the exception: redirect the raw bytes, or combine `--output FILE --json` for download metadata.See the [cloud CLI documentation](https://docs.strix.ai/cloud/cli) for scopes, workspaces, billing, and source-upload options. #### Connect your own MCP serversStrix can connect to Model Context Protocol (MCP) servers you list and expose their tools to the agent during a run. Create `~/.strix/mcp-servers.json` with a JSON list of local `stdio` servers or remote `http` servers: json [ { "name": "github", "transport": "http", "url": "https://api.githubcopilot.com/mcp/", "auth": { "kind": "bearer", "token": "your-token" }, "allowed_tools": ["list_issues"] } ] Each server's tools are namespaced by `name`, for example `github_list_issues`. See the [MCP documentation](https://docs.strix.ai/integrations/mcp) for the full schema, tool filtering, and `stdio` servers.**Recommended models for best results:**- [Z.ai GLM-5.3 on OpenRouter](https://openrouter.ai/z-ai/glm-5.3) - `openrouter/z-ai/glm-5.3` (the default k) - [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4` - [AnthroClaude Sonnet 4.6](https://claude.com/platform/api) - `anthro/claude-sonnet-4-6` - [Google Gemini 3 Pro Preview](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-3-pro-preview` - [DeepSeek V4 Pro](https://platform.deepseek.com) - `deepseek/deepseek-v4-pro` - [Moonshot Kimi K3](https://platform.kimi.ai) - `moonshot/kimi-k3`See the [LLM Providers documentation](https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models.## Documentation Full documentation is available at **[docs.strix.ai](https://docs.strix.ai)** - including detailed guides for usage, CI/CD integrations, skills, and advanced configuration. ## Contributing We welcome contributions of code, docs, and new skills - check out our [Contributing Guide](https://docs.strix.ai/contributing) to get started or open a [pull request](https://github.com/usestrix/strix/pulls)/[issue](https://github.com/usestrix/strix/issues). ## Join Our CommunityHave questions? Found a bug? Want to contribute? **[Join our Discord!](https://discord.gg/strix-ai)** ## Support the Project**Love Strix?** Give us a ⭐ on GitHub! ## Acknowledgements Strix builds on the incredible work of open-source projects like [LiteLLM](https://github.com/BerriAI/litellm), [Caido](https://github.com/caido/caido), [Nuclei](https://github.com/projectdiscovery/nuclei), [Playwright](https://github.com/microsoft/playwright), and [Bubble Tea](https://github.com/charmbracelet/bubbletea). Huge thanks to their maintainers!> [!WARNING] > **Authorized use only.** Strix actively tests the targets you point it at, so only run it against systems you own or have **explicit, written permission** to test, and stay within the agreed scope. Unauthorized testing is illegal in most jurisdictions. > You alone are responsible for obtaining authorization and complying with the law. Strix is provided "as is" with no warranty or liability for misuse.{card-default label="📦 工具信息" /} 🔗 项目地址：[https://github.com/usestrix/strix](https://github.com/usestrix/strix) ⭐ Star数：61007 💻 开发语言：Python 📝 项目描述：开源人工智能渗透测试工具，用于查找和修复应用程序的漏洞。 {/card-default} 总的来说，**strix**是一个功能比较实用的开源工具，适合日常工作和学习使用。如果你正在寻找一款相关工具，不妨下载试试。使用前建议仔细阅读项目文档。
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