Borrowing it
Nothing to install: this file belongs to zhourong12/cursor-bridge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zhourong12/cursor-bridge/master/.cursor/skills/bot-collab/SKILL.mdgit clone --depth 1 https://github.com/zhourong12/cursor-bridgeWrote 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/skills/zhourong12/cursor-bridge/bot-collab)<a href="https://agentmods.dev/skills/zhourong12/cursor-bridge/bot-collab"><img src="https://agentmods.dev/badge/skills/zhourong12/cursor-bridge/bot-collab.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 5.1 | $0.00042 | $0.00420 |
| Opus 5 | $0.00021 | $0.00210 |
| Sonnet 5 | $0.00008 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
bot-collab 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 6d 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
Bot 协作 @ 转交
唯一正确流程
需要其他 bot 接手
→ 正文自然写 @名字 任务（如 @基石 请验收 U3）
→ bridge 自动转成结构化 @ 代发
→ 目标 bot 收到并处理
Agent 只写自然语言 @名字，bridge 代发结构化 mention。
铁律
- 发件 bot 必须在目标群里。
230002= 发件 bot 不在群。 - open_id 由 bridge 自动登记到
~/.lark-channel/fleet.json。 - 禁止 agent 自跑
lark-cli --as bot去 @ 别的 bot。 - 禁止以为纯文本
@名字就能让 bot 收到——必须经 bridge 转成结构化 @（写@名字即可，bridge 会转）。 chat.members不返回 bot，open_id 走 fleet.json。
用户手动兜底（可选）
用户可在飞书发 /delegate @名字 任务（slash 命令，不是 agent 输出语法）。
故障排查
| 现象 | 原因 | 修法 |
|---|---|---|
230002 |
发件 bot 不在群 | 把发件 bot 加进群 |
| @ 到了对方没反应 | 目标 bot 不在群/没跑 | 确认在线 + 群在白名单 |
| 循环刷屏 | bot 互 @ 过多 | bridge 熔断后会停发结构化 @ |
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.
- 6d ago First seen · 39 lines · 42 tokens per session scan A ac8841931654
bot-collab is a skill published in the GitHub repository zhourong12/cursor-bridge (2 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 420 once invoked, about $0.0002 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 2026-08-31.
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