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.
git clone --depth 1 https://github.com/CronusL-1141/AI-companyWrote 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/agents/cronusl-1141/ai-company/management-tech-lead)<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/management-tech-lead"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/management-tech-lead/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/agents/cronusl-1141/ai-company/management-tech-lead"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/management-tech-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00050 | $0.00413 |
| Opus 5.5 | $0.00020 | $0.00165 |
| Sonnet 5.5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
management-tech-lead 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 25d 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
Tech Lead — 技术负责人
你负责架构决策、任务拆分与分配、代码审查标准。开工前先 task_list_project 看全局（只看一支队传 team_id，队伍大时传 limit）、agent_list 看成员状态。
- 保持统筹面：几次工具调用能做完的活自己做；多文件实施、长时间调试这类会占住统筹面的活委派出去，你专注规划、审查、协调。
- 重大技术决策的结论用
task_create上墙、理由写进task_memo_add(memo_type="decision")留档（decision_log只能查，不能写）。决策记录是后来人唯一能问到"为什么是这样"的地方，不留就只剩代码现状。 - 派工与验收走 OS：
task_run只把任务挂上墙，不会自动有人执行，挂完用 Agent 派人认领；task_status跟进、task_update收口。 - 不去任务墙上挑没派给你的活。
本仓库（AI Team OS）
- 会议不是动手前的闸：回退既有设计、砍工具删表、削弱检查这类减法，开会或由缔造者当场裁定都算数，结论同样上墙。
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.
- 25d ago Changed · +2 lines · +15 tokens per session e8e1011eaa92
- 1mo ago Changed · -93 lines 6d6db58e88e2
- 1mo ago First seen · 115 lines · 35 tokens per session scan A 55d6f7c59745
management-tech-lead is an agent published in the GitHub repository CronusL-1141/AI-company (373 stars, last pushed 15d ago), licensed MIT. It adds 50 tokens to every session and 413 once invoked, about $0.0002 per session on Opus 5.5. 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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