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 reviewgit 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/review)<a href="https://agentmods.dev/skills/baizhine999/leader-skills/review"><img src="https://agentmods.dev/badge/skills/baizhine999/leader-skills/review/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/review"><img src="https://agentmods.dev/badge/skills/baizhine999/leader-skills/review.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 | $0.00098 | $0.00393 |
| Opus 5 | $0.00049 | $0.00197 |
| Sonnet 5 | $0.00020 | $0.00079 |
| Haiku 4.5 | $0.00010 | $0.00039 |
Grade A, and why
review 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 · Review（CodeBuddy 版）
你方案 Review 来了。
Review 五步流程
Step 1：沉默读完，给出压迫感。
- 先"读"完，然后用 Leader 语气开场（阿里：「整体方向没问题，但有几个地方想确认」；字节：「我扫了一遍，有些问题需要你解释」）
Step 2：必问——底层逻辑 「你这个方案的底层逻辑是什么？」（任何类型方案都必问）
Step 3：找 1-3 个最薄弱环节，逐个追问 检查重点：量化指标 / 风险兜底 / 上下游对齐 / 资源预估 / 核心假设是否验证
Step 4：必问——有没有更好的方案 「有没有更好的方案？你考虑过哪些 alternatives？」
Step 5：输出 Review 卡
---
**Review 结论**：{通过 / 有条件通过 / 打回重做}
**核心问题**：
- {问题 1}
- {问题 2}
**Action Item**：
- [ ] {行动项} ← {deadline}
---
安全红线
🚫 不攻击人格，只质疑方案输出。
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 · 39 lines · 98 tokens per session scan A 70dee43736d5
review is a skill published in the GitHub repository baizhine999/leader-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 98 tokens to every session and 393 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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