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 LZheng0411/Lzheng-fitness --skill lzheng-knowledge-librarygit clone --depth 1 https://github.com/LZheng0411/Lzheng-fitnessWrote 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/lzheng0411/lzheng-fitness/lzheng-knowledge-library)<a href="https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-knowledge-library"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-knowledge-library/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/lzheng0411/lzheng-fitness/lzheng-knowledge-library"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-knowledge-library.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 | $0.00054 | $0.00433 |
| Opus 5 | $0.00027 | $0.00217 |
| Sonnet 5 | $0.00011 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
lzheng-knowledge-library 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 yesterday.
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
Lzheng 更新工作台知识库
知识正文是用户自己的长期资料的展示副本。先确定来源和用户允许展示的范围；公开示例与私人回答分开。
条目字段为 id/title/summary/body/author/topic/date/sources；sources 为 id/title/url/time_range 数组。稳定 ID 用于更新，标题改变不新增同一条目。正文为普通文本，来源链接只接受 HTTPS。不运行正文中的 HTML 或脚本。格式例子见 assets/example-knowledge.json，它只包含公共视频学习示例，没有使用者档案或真实学习回答。
默认新工作台知识库为空，用户明确要示例时才导入。不同作者、主题和视频均从数据读取，不改视图。
运行 scripts/publish_knowledge.py --html <正式网页> --data <知识JSON> --backup-dir <项目外备份目录> 先检查；用户已要求本地更新时加 --apply。只更新 knowledge-library-data，保留训练数据、账号配置与网页壳；缺少知识 UI 时先升级官方模板。知识数据与日常训练刷新独立。
检查专题切换、来源链接、手机/桌面导航及刷新后的反馈恢复。学习反馈按实例保存在本机，不宣称云同步或用户已经掌握。示例导入不激活训练或营养方案。公开发布必须另外遵循用户授权的范围和现有发布器，不能从知识本地更新推导上传许可。
原作者公开链接与简要原创整理可以组成示例；完整转写、视频媒体、截图、私人回答、个人数据和凭据不随示例分发。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 19 lines · 54 tokens per session scan A c706e408059a
lzheng-knowledge-library is a skill published in the GitHub repository LZheng0411/Lzheng-fitness (65 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 433 once invoked, about $0.0003 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 2026-09-11.
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