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Agent task confirm

Skill aAAaqwq/AGI-Super-Team/skills/agent-task-confirm

Use when confirming whether a dispatched agent task was actually received, activated, and progressing after sessions_send or other task handoff actions.From its SKILL.md

Install
npx -y skills add aAAaqwq/AGI-Super-Team --skill agent-task-confirm

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SKILL.md

2.0 KB, 618 tokens by cl100k_base, as published. Nobody here has run it

Agent 任务派发与确认机制

确保每次派发任务后,agent 确实收到并在执行。

触发条件

  • 每次通过 sessions_send 派发任务后自动执行
  • "检查员工状态"、"任务确认"

派发后确认流程

Step 1: 派发任务

sessions_send(sessionKey="agent:<id>:telegram:group:-1003890797239", message="【CEO指令】...")

Step 2: 立即确认送达(30秒内)

sessions_list(activeMinutes=5, kinds=["agent"], messageLimit=0)

检查目标 agent 的 session 是否 active(updatedAt 在最近 60 秒内)。

Step 3: 判断状态

状态判断条件处理
✅ 已接收session active, updatedAt 刚更新等汇报
⚠️ 可能卡住session active 但 5min+ 无新消息发催促消息
❌ 未接收session 不在 active 列表重发一次,仍失败则报告 Daniel

Step 4: 超时催促(5分钟无汇报)

如果 agent 5 分钟内没有发群里汇报,发催促:

sessions_send(sessionKey="agent:<id>:...", message="【催促】你的任务完成了吗?立即用 message 发群里汇报进度。")

Step 5: 死亡判定(10分钟无响应)

如果催促后 5 分钟仍无反应:

  1. 检查 agent 的 session 是否报错(abortedLastRun)
  2. 报告 Daniel:"小X 可能卡住了,需要检查"
  3. 考虑重新派发给其他 agent

每次派发的标准模板

任务消息必须包含:

  1. 【CEO指令】开头
  2. 具体任务描述
  3. 文件写在哪里
  4. 完成后的 message 汇报指令(含 accountId)
  5. "不发群里 = 任务没完成"

批量检查命令

快速检查所有 agent 状态:

sessions_list(activeMinutes=10, kinds=["agent"], messageLimit=1)

看每个 agent 的 updatedAt 和最后一条消息判断是否在工作。

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most context ai engineering skills give in 618 tokens

Counted across 1,328 of the 2,349 authors here whose files we hold, read 2026-09-06

  • Dispatch a fresh subagent for each taskin 76 of 1328, across 59 files
  • Perform spec compliance review before code quality reviewin 44 of 1328, across 34 files
  • Dispatch a final code reviewer after all tasksin 38 of 1328, across 26 files
  • Answer subagent questions before allowing implementationin 36 of 1328, across 26 files
  • Use the least powerful model capable of the taskin 33 of 1328, across 26 files
  • Create a TodoWrite list for all tasksin 32 of 1328, across 22 files
  • Perform a task review after each implementationin 31 of 1328, across 24 files
  • Extract all tasks and context from the planin 29 of 1328, across 20 files
  • Provide full task text to subagentsin 28 of 1328, across 20 files
  • Use git worktrees for isolated workspacesin 25 of 1328, across 20 files
  • Specify the model explicitly when dispatching a subagentin 23 of 1328, across 18 files
  • Execute all tasks from the plan without stoppingin 21 of 1328, across 16 files

Said here and by no other author read

  • Verify agent session is active after task dispatch
  • Check session updatedAt within sixty seconds
  • Send reminder if no progress after five minutes
  • Report to supervisor if no response after ten minutes
  • Include task details and reporting instructions in messages
  • Check for abortedLastRun status on unresponsive agents

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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