Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aAAaqwq/AGI-Super-Team --skill agent-task-confirmgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/agent-task-confirm)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-task-confirm"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-task-confirm/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-task-confirm"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-task-confirm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00560 |
| Opus 5 | $0.00015 | $0.00280 |
| Sonnet 5 | $0.00006 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
agent-task-confirm 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 9d 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
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：
- 检查 agent 的 session 是否报错（abortedLastRun）
- 报告 Daniel："小X 可能卡住了，需要检查"
- 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：
- 【CEO指令】开头
- 具体任务描述
- 文件写在哪里
- 完成后的 message 汇报指令（含 accountId）
- "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 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.
- 9d ago First seen · 65 lines · 30 tokens per session scan A 146616e547f6
agent-task-confirm is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 560 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 2026-08-30.
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