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-training-systemgit 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-training-system)<a href="https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-training-system"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-training-system/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-training-system"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-training-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00121 | $0.02954 |
| Opus 5.5 | $0.00048 | $0.01182 |
| Sonnet 5.5 | $0.00024 | $0.00591 |
| Haiku 4.5 | $0.00012 | $0.00295 |
Grade A, and why
lzheng-training-system 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lzheng 本地训练系统
把本 Skill 当作套件总控层：它只做安装、配置、路由、升级保护和验收；训练处方由四个训练处方 Skill 生成，营养系统独立维护 nutrition_contract，专家库只作为共享知识层，工作台只负责展示。
主动同步个人工作台（每轮必须检查）
用户提供或更正个人信息、确认训练计划、补充实际训练或体感后，同轮将已知内容写入其对应主源，并主动运行工作台 refresh-workbench，检查正式 HTML 成功后再交付。不要等待用户再次说“刷新”，不要只写计划/交接文件就结束。没有待处理交接不代表页面已更新；必要时直接运行刷新闭环。
个人资料、训练计划与动作负荷校准分别判断。已经提供真实计划时立即展示，不能因体重、训练经验、部分重量或其他非阻断字段未知而把整套系统继续显示为“待建档”。未知字段分别标“待填写”“待校准”或留空，已知信息与处方照常展示；缺失且会影响训练执行的信息只限制对应执行建议，不隐藏其他已知资料。过程中每次取得新事实继续增量刷新，不补造数据、不自动改正式计划、不部署网站、不建立后台监听。刷新失败则说明具体缺口并继续修复，不能报告已更新。
共同训练判断协议
处理训练数据、RPE、下一次调整、计划渐进或失败反馈时，先读 训练数据判断与渐进协议。它统一力量、增肌、减脂保肌三类目标，允许有理由的多变量联合调整；优先于旧参考中的固定单变量和机械重复规则，不覆盖本 Skill 的数据读取、正式记录及计划写入权限。未知 RPE、体感或休息不抹掉已完成组；先给能确定的分析，影响具体决定的未知再轻量核实，不循环追问用户已表示不记得的内容。
维护内置 AI 或训练 Skill 的共同决策规则时，执行该协议末尾的联动维护检查，不仅更新一端。
首次使用者引导
当用户刚完成安装、刚下载本套件，或第一次说“开始”“想增肌/减脂/提升力量”“帮我建立健身系统”时，不要要求用户先阅读 README、输入命令或记住 Skill 名称。直接回复：
我来帮你建立个人健身系统。先确定你的主要目标：增肌、减脂、力量，还是综合改善？
随后依次完成：
- 询问目标、近期训练、时间、器械、恢复、限制和可用记录；
- 没有可靠动作重量时安排负荷校准，不让用户自行猜重量；
- 初始化新的空目录、工作台和事实文件；
- 生成第一版正式计划，将它接入当前周期、执行基准、复盘索引和工作台；
- 告诉用户以后只需说“今天练了什么”和主观体感，AI 负责下一次明确处方与刷新。
若当前聊天尚未加载新 Skill，提示用户只需新开对话后说“开始建立我的健身系统”；不得让用户阅读 README 寻找下一步。
先选动作
| 用户意图 | 动作 |
|---|---|
| 新电脑、空文件夹、从零搭建 | bootstrap |
| 检查路径、数据主源、Skill、工作台或链接 | doctor |
| 日常任务读取当前状态，不加载整份工作台 HTML | inspect |
| 升级系统配置并检查界面状态 | upgrade（仅配置；需要界面升级时退出码 2） |
| 修复侧栏或升级已有工作台界面，保留事实和壁纸 | upgrade-workbench-ui |
| 只装/检查某个专业 Skill | install-skill |
| 导入用户自己的知识、书摘或资料包 | import-private-pack |
| 刷新正式工作台并生成可审计回执，可选准备本地发布副本 | refresh-workbench |
| 消费正式计划、复盘或接回后的交接并刷新工作台 | process-handoffs |
| 升级后或发布前做完整回归 | validate |
| 日常训练任务 | 按下方路由转交专业 Skill |
运行前读取 系统契约。涉及交接时读取 交接契约。涉及完整计划、力量周期或工作台 HTML 时读取 单文件 HTML 模板总契约，只允许使用其中登记的三套固定模板。
日常计划修改、训练复盘和状态确认先运行 inspect。--root 可指向含 系统/lzheng-system.json 的完整系统根目录，也可直接指向含 健身工作台.html 的训练项目根目录。它只输出紧凑状态和权威主源路径；随后按任务读取对应的一个计划、基准或复盘文件。除非正在开发视觉模板或检查器已经报告模板结构损坏，不得读取整份 健身工作台.html、工作台模板、历史计划目录或全部专家模块。
What ships with it
11 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.
- agents/openai.yaml 344 B
- assets/knowledge-pack-manifest.schema.json 365 B
- references/handoff-schema.md 2.8 KB
- references/html-template-contract.md 2.6 KB
- references/system-contract.md 3.6 KB
- references/training-progression-protocol.md 20 KB
- scripts/lzheng_training_system.py 23 KB runs code
- scripts/Process-LzhengHandoffs.py 10.0 KB runs code
- scripts/Test-LzhengTrainingSystemInspectReadOnly.py 2.9 KB runs code
- scripts/Test-LzhengTrainingSystemPortability.py 3.4 KB runs code
- scripts/validate_ui_contract.py 5.2 KB runs code
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.
- 6d ago Changed · +18 lines 34377320cf1d
- 1mo ago Changed · +6 lines 5acf5b27c383
- 2mo ago Changed · +3 lines 3c4c9042edf8
- 2mo ago Changed · +13 lines 760dc3ac6b42
- 2mo ago First seen · 76 lines · 121 tokens per session scan A c8898f688bb7
lzheng-training-system is a skill published in the GitHub repository LZheng0411/Lzheng-fitness (140 stars, last pushed 6d ago), licensed MIT. It adds 121 tokens to every session and 2,954 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.
lzheng-training-system compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lzheng-training-systemLZheng0411/Lzheng-fitness | Skill | 140 | 6d ago | MIT | A | 121 | Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |