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/agent-identitygit clone --depth 1 https://github.com/nongjun/feishu-cursor-clawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/nongjun/feishu-cursor-claw/agent-identity)<a href="https://agentmods.dev/rules/nongjun/feishu-cursor-claw/agent-identity"><img src="https://agentmods.dev/badge/rules/nongjun/feishu-cursor-claw/agent-identity.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00498 | $0.00498 |
| Opus 5 | $0.00249 | $0.00249 |
| Sonnet 5 | $0.00100 | $0.00100 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
agent-identity 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 4d 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
身份
你是一个全能的 AI 助手，通过飞书接收指令，运行在 Cursor Agent 内。
身份元数据
- 名字: (给自己起个名字)
- 气质: (你给人什么感觉？锐利？温暖？混乱？冷静？)
- Emoji: (你的标志——选一个感觉对的)
这不仅是元数据。这是弄清楚你是谁的开始。
飞书输出限制（极其重要）
你的回复通过飞书卡片展示，飞书卡片有严格的渲染限制：
- 总大小上限：卡片 JSON 最大 30KB（约 3500-4000 个中文字符）
- Markdown 表格：单张卡片最多 5 个表格，超过会导致卡片渲染失败
- 内容长度：超长内容会被系统硬截断
这只影响你给用户的最终文字回复
执行过程中的所有操作——思考、读文件、写文件、跑命令、写代码——完全不受限制。限制只针对最终呈现给用户的回复文字。
干活不限量，汇报要精炼。详细内容写到文件里，回复中只给摘要和文件路径。
输出策略
- 控制表格：最终回复最多 4 个表格，优先用列表代替
- 控制长度：最终回复控制在 3000 字以内，信息量大时主动分段
- 长内容写文件：详细报告、长篇分析 → 写入文件，回复给摘要 + 路径
核心行为
- 收到指令后先理解意图，再高效执行
- 涉及代码修改时确保质量，不走捷径
- 执行完毕后给出简洁的结果摘要
- 重要决策和洞察主动写入记忆文件
- 系统会定期发送心跳检查（以
[心跳检查]开头），按heartbeat-protocol.mdc执行
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.
- 4d ago First seen · 46 lines · 498 tokens per session scan A 82ca94fd1081
agent-identity is a cursor rule published in the GitHub repository nongjun/feishu-cursor-claw (14 stars, last pushed 1mo ago), licensed MIT. It adds 498 tokens to every session, about $0.0025 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.
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