agent-responsiveness-delegation@1.0.3
VERIFIEDPublisher claims: "你给 AI 助手派了个重活,然后发现:发消息它不回、想插话只能排队、等十几分钟才回一句——等它抬头,需求早变了。根因不是模型慢,是主脑把重活放在前台跑,整个回合被占死。这个 Skill 把这套「重活外派 + 随时应答」机制做成可落地的东西:① 规则块(一页写清判级、派完立刻让出对话、工单四要素、只回收结论、自报≠事实、拍板留主脑、跨会话任务换机制)② 跨平台落地脚本 provision_agent_responsiveness.py:探测本机已有的 Agent 环境(Hermes 的 SOUL 置顶铁律块、Claude Code 的全局指令文件,这两条已实测),把规则块幂等写入(自动备份原文件、重复执行不重复写、绝不覆盖你已有内容);其余平台(Codex / Cursor / WorkBuddy / 任意 Agent)则导出一份可直接粘贴的规则块 markdown,你粘到系统提示或自定义指令里就生效 ③ 体检脚本 audit_agent_responsiveness.py:逐项核对规则块是否存在、是否被后续改动覆盖、探测到哪些平台——没检测到就如实报「未检测到支持的平台」,不假报通过。纯标准库、零依赖、Windows/macOS/Linux 通用。触发词:AI不回话、等太久、插话卡住、助手响应慢、主脑被占住、重活外派、子代理、多智能体、响应速度、落地配置、系统提示。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-05 and scored it 90/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
No other findings across 1,018 lines in 7 files.