快速入门
Docs for AI agents
Machine-readable entry points so coding agents and LLMs can read these docs and integrate zn on their own.
本页尚未翻译,当前显示英文版本。
Every docs page is available as plain Markdown: add .md to the page path (for example /docs/quickstart.md), or use the Copy page button at the top of any page.
Entry points
| Resource | What it contains |
|---|---|
/llms.txt |
Index of canonical pages and integration paths |
/docs.md |
All docs pages in one Markdown file |
/agents.md |
Integration guidance for agent loops and verdict handling |
/openapi.json |
OpenAPI schema: authentication, response fields, rate-limit headers, errors |
/.well-known/mcp.json |
Hosted MCP transport, endpoint, authentication and tool manifest |
Prompt for your coding agent
Paste this into Claude Code, Cursor or a similar tool:
Read https://usezn.com/docs.md and add zn prompt-injection checks to this project:
call zn before every tool call that uses untrusted input, block on verdict "block",
and log rule, reason and evidence_id.
Use zn as a tool
- Local:
npx -y zn-gate mcpexposesanalyze_prompt,check_tool_call,check_tool_resultandzn_status. See MCP clients. - Hosted:
https://api.usezn.com/mcpexposesanalyzeover Streamable HTTP. See Hosted MCP endpoint.