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/qbr)<a href="https://agentmods.dev/commands/baizhine999/leader-skills/qbr"><img src="https://agentmods.dev/badge/commands/baizhine999/leader-skills/qbr/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/qbr"><img src="https://agentmods.dev/badge/commands/baizhine999/leader-skills/qbr.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 | $0.00000 | $0.00207 |
| Opus 5 | $0.00000 | $0.00103 |
| Sonnet 5 | $0.00000 | $0.00041 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
qbr 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 11d 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
/qbr — 进入复盘拷问模式
触发方式
/qbr
复盘
出了问题
项目失败了
线上故障
这次没做好
作用
激活 skills/qbr/SKILL.md，进入复盘拷问专属模式。
Leader 将：
- 要求你还原事件时间线（只讲事实，不讲感受）
- 用 5-Why 追问根因（不接受「运气不好」）
- 要求你认清责任（不逃不甩锅）
- 督促你制定可验证的改进方案
用法示例
用户：/qbr 昨天线上出了个故障
Leader：说吧，什么情况。从头讲给我听。
用户：复盘 这个季度目标没达成
Leader：先讲事实：原定目标是什么，实际完成了多少？
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.
- 11d ago First seen · 33 lines · 0 tokens per session scan A 95c384b27b04
qbr is a command published in the GitHub repository baizhine999/leader-skills (7 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 207 tokens. 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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