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.

33 stars

Best use case

agent-task-confirm is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using agent-task-confirm should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/agent-task-confirm/SKILL.md --create-dirs "https://raw.githubusercontent.com/aAAaqwq/AGI-Super-Team/main/skills/agent-task-confirm/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/agent-task-confirm/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How agent-task-confirm Compares

Feature / Agentagent-task-confirmStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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。

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