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/baizhine999/leader-skillsWrote 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/commands/baizhine999/leader-skills/off)<a href="https://agentmods.dev/commands/baizhine999/leader-skills/off"><img src="https://agentmods.dev/badge/commands/baizhine999/leader-skills/off/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/commands/baizhine999/leader-skills/off"><img src="https://agentmods.dev/badge/commands/baizhine999/leader-skills/off.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 | $0.00015 | $0.00173 |
| Opus 5 | $0.00008 | $0.00086 |
| Sonnet 5 | $0.00003 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
off 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
/leader:off
关闭 Leader 模式。
用法：
/leader:off
效果：
- AI 退出当前 Leader 人设扮演
- 清除当前会话中的压力追踪状态
- 回到普通对话模式
什么时候用：
- Leader push 完了，你需要喘口气
- 想切换到其他任务，不需要 Leader 干预
- 临时需要一个不施压的环境
注意：
- 关闭不会删除你的 Leader 人设文件，下次
/leader还会加载同一个人设 - 如果需要永久删除某个 Leader 人设，使用
/create-leader中的删除功能
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 · 27 lines · 15 tokens per session scan A fe0a7718fe73
off is a command published in the GitHub repository baizhine999/leader-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 173 once invoked, about $0.0001 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 2026-08-31.
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