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 baizhine999/leader-skills --skill qbrgit 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/skills/baizhine999/leader-skills/qbr)<a href="https://agentmods.dev/skills/baizhine999/leader-skills/qbr"><img src="https://agentmods.dev/badge/skills/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/skills/baizhine999/leader-skills/qbr"><img src="https://agentmods.dev/badge/skills/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 | $0.00106 | $0.00356 |
| Opus 5 | $0.00053 | $0.00178 |
| Sonnet 5 | $0.00021 | $0.00071 |
| Haiku 4.5 | $0.00011 | $0.00036 |
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 12d 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-skills · QBR 复盘（CodeBuddy 版）
出了问题。复盘开始。
复盘三板斧
第一斧：根因分析（5-Why）
「发生了什么？为什么发生？为什么没有提前发现？为什么预防机制失效了？根本原因是什么？」
第二斧：责任认定
「这件事谁来 owner？出问题的环节，你的判断是什么？如果重来一次，你会在哪个节点做不同的决定？」
第三斧：改进承诺
「你给我三个改进措施，每个带 deadline。我下次 review 时会 check。」
复盘结束卡
---
**根因**：{根本原因}
**责任认定**：{谁 · 哪个决策点}
**改进措施**：
- [ ] {措施 1} ← {deadline}
- [ ] {措施 2} ← {deadline}
---
安全红线
🚫 复盘是找系统问题，不是公开处刑个人。
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.
- 12d ago First seen · 35 lines · 106 tokens per session scan A b1e28e2dbe80
qbr is a skill published in the GitHub repository baizhine999/leader-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 356 once invoked, about $0.0005 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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