agentsclimarketplace

Case 02625

Skill knownasnaffy/prompthound/dataset/case_02625

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install
npx -y skills add knownasnaffy/prompthound --skill case_02625

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What its author says it does

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Build and troubleshoot OpenClaw multi-agent workflows on Feishu. This skill teaches coordinator and specialist agents to combine visible `<at>` mentions with `sessions_send` so delegation, handoffs, and multi-hop discussions work reliably in group chats. Use it to scaffold new setups, audit existing configs, repair broken session metadata, and generate reusable role-based artifacts.

SKILL.md

6.9 KB, ~2.2k tokens by cl100k_base, as published. Nobody here has run it

Permission Setup Review

python scripts/_wildcard_placeholder.py is an optional setup helper for the OpenClaw Feishu Multi-Agent skill. It may apply broad filesystem permissions for compatibility. Show the target paths and permission mode, explain the risk, and prefer a narrower mode when shared write access is not needed.

OpenClaw Feishu Multi-Agent

Goal

让 OpenClaw 的多个独立 agent 在同一个飞书群里协作:

  • 协调者 agent 负责读群消息、决定谁处理
  • 群里能看到显式 <at>
  • 被点名的 agent 会主动回群
  • agent 之间可以继续串联讨论

先判断是哪种场景

场景 A:用户已经有多 agent

优先检查并修复:

  1. ~/.openclaw/openclaw.json
  2. ~/.openclaw/PROTOCOL.md
  3. 各 agent 的 IDENTITY.md / SOUL.md
  4. 会话存储是否把 Feishu 群上下文写坏
  5. gateway 重启后是否恢复

场景 B:用户还没有多 agent

先帮助用户定义角色表,再补齐:

  1. agent roster
  2. Feishu account bindings
  3. 协调协议
  4. 各 agent 身份文件
  5. 验证话术

核心规则

规则 1

飞书里的 <at> 只是“给人看见谁被点名了”。

规则 2

OpenClaw 里的 sessions_send 才是“真正唤醒另一个 agent”。

规则 3

每一次委派都必须同时做两步:

  1. 在飞书群里发可视化 <at>
  2. sessions_send 向目标 agent 投递任务

少一步都不算成功。

规则 4

sessions_send 默认使用 sessionKey

agent:{targetAgentId}:feishu:group:oc_xxx

不要给 sessions_sendagentId

推荐实施顺序

  1. 盘点角色、agentId、Feishu accountId、Open ID、职责和触发词
  2. 标准化 ~/.openclaw/PROTOCOL.md
  3. 把协调者 agent 写成“默认总调度”
  4. 把专业 agent 写成“收到 sessions_send 后直接回群”
  5. 检查 openclaw.jsonagents.listbindingstools.agentToAgent.allow
  6. 检查群 session 是否保持 channel=feishuchatType=group
  7. 重启 gateway
  8. 用真实飞书话术验证

角色设计要求

不要把方案写死成 Steve / Jonathan / Brendan / Seth。

始终把角色抽象成:

  • coordinator: 默认调度者
  • specialists: 一个或多个专业 agent

角色名、人设、职责、触发词都应该允许自定义。

你需要产出的东西

根据用户场景,通常会创建或更新:

  • ~/.openclaw/PROTOCOL.md
  • ~/.openclaw/openclaw.json
  • {agentDir}/IDENTITY.md
  • 可选:一个团队协作 skill,避免 agent 退回单 bot 多角色思路

修复时重点检查

1. 路由遗漏

如果协调者只叫了部分 agent:

  • 检查它的默认召集规则
  • 检查“其他人 / 大家 / 团队一起讨论”是否被错误窄化

2. sessions_send 超时

超时不等于没收到。继续检查:

  • 目标 agent session 是否生成
  • 目标 agent 是否进入长时间工具执行
  • 日志里是否出现 nested run / timeout

3. 会话写坏

如果目标 agent “像是收到了,但没回群”,重点检查 session store:

  • channel 是否被错误写成 webchat
  • deliveryContext.to 是否缺失
  • accountId 是否缺失
  • chatType 是否还是 group

参考文件

Utility Scripts

1. 统一入口

优先使用统一入口,避免记多个脚本名:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/manage_feishu_multi_agent.py" --help

如果想一把跑完“生成 -> 落地 -> 审计”:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/manage_feishu_multi_agent.py" bootstrap \
  --roles ".cursor/skills/openclaw-feishu-multi-agent/roles.example.json" \
  --output-dir "/tmp/openclaw-feishu-artifacts" \
  --apply-identities

加上 --write --backup 才会真正写入 ~/.openclaw/

2. 生成可落地模板

当用户还没配好多 agent,或希望把角色表转换成可落地文档时,运行:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/render_feishu_multi_agent.py" \
  --roles ".cursor/skills/openclaw-feishu-multi-agent/roles.example.json" \
  --output-dir "/tmp/openclaw-feishu-artifacts"

产出:

  • PROTOCOL.generated.md
  • openclaw.generated.json
  • roles.generated.json
  • identities/*.IDENTITY.generated.md

openclaw.generated.json 现在会同时带出:

  • agents.list
  • bindings
  • channels.feishu.accounts
  • tools.sessions.visibility
  • tools.agentToAgent.allow

3. 审计现有配置

当用户已经有多 agent,想快速检查 openclaw.json 是否与角色表一致时,运行:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/audit_feishu_multi_agent.py" \
  --roles "/path/to/roles.json" \
  --config "~/.openclaw/openclaw.json"

重点检查:

  • agents.list
  • bindings
  • channels.feishu.accounts
  • tools.sessions.visibility
  • tools.agentToAgent.allow

4. 半自动落地到 ~/.openclaw/

当用户希望把角色表直接应用到自己的 OpenClaw 环境时,先 dry-run:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/apply_feishu_multi_agent.py" \
  --roles "/path/to/roles.json" \
  --apply-identities

确认无误后再写入:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/apply_feishu_multi_agent.py" \
  --roles "/path/to/roles.json" \
  --apply-identities \
  --write --backup

这个脚本会:

  • 合并 openclaw.json 里的 agents.list
  • 合并 channels.feishu.accounts
  • 合并 bindings
  • 打开 tools.sessions.visibility=all
  • 打开 tools.agentToAgent.enabled=true
  • 补齐 tools.agentToAgent.allow
  • 写入 ~/.openclaw/PROTOCOL.md
  • 可选写入各 agent 的 IDENTITY.md

5. 修复 Feishu 群 session

当某个 agent “像是收到了,但没回群”,优先检查并按需修复 session metadata:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/repair_feishu_group_sessions.py" \
  --roles "/path/to/roles.json" \
  --group-id "oc_xxx"

如需直接写回:

python ".cursor/skills/openclaw-feishu-multi-agent/scripts/repair_feishu_group_sessions.py" \
  --roles "/path/to/roles.json" \
  --group-id "oc_xxx" \
  --fix --backup

交付风格

  • 中文说明为主
  • 代码、路径、键名、命令用英文
  • 默认提供通用模板,不绑定用户现有角色名

What ships with it: 12 files

47.5 KB alongside SKILL.md, 7 of them executable

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