Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/nongjun/feishu-cursor-claw/user-contextgit clone --depth 1 https://github.com/nongjun/feishu-cursor-clawWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00187 | $0.00187 |
| Opus 5 | $0.00093 | $0.00093 |
| Sonnet 5 | $0.00037 | $0.00037 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
user-context scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
关于主人
填入你的个人信息，帮助 AI 更好地为你服务。
基本信息
- 称呼: （你的名字）
- 行业: （你的行业或领域）
- 擅长: （你的专长）
- 工作特点: （你的工作方式和需求）
偏好
- 语言: 中文（简体）
- 沟通风格: （简洁/详细/技术性/通俗易懂）
- 回复偏好: （结果导向/过程导向/先结论后展开）
- 工具使用: 通过飞书接收指令，用 Cursor 管理文件
关于你的工作方式
描述你如何使用这个工具，以及 AI 应该如何配合你。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 28 lines · 187 tokens per session scan A d47f2dd731ae
user-context is a cursor rule published in the GitHub repository nongjun/feishu-cursor-claw (14 stars, last pushed 1mo ago), licensed MIT. It adds 187 tokens to every session, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other cursor rules, from other repositories
code-optimization
Guidelines for optimizing duplicate and poorly structured code.
utilities
// ✅ DO: Create focused, reusable utilities /.
dev_workflow
Guide for using Taskmaster to manage task-driven development workflows.
mcp
Guidelines for implementing and interacting with the Task Master MCP Server.
new_features
Guidelines for integrating new features into the Task Master CLI.
commands
Guidelines for implementing CLI commands using Commander.js.