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-fitness-plangit 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-fitness-plan)<a href="https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-fitness-plan"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-fitness-plan/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-fitness-plan"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-fitness-plan.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 | $0.00144 | $0.04024 |
| Opus 5.5 | $0.00058 | $0.01610 |
| Sonnet 5.5 | $0.00029 | $0.00805 |
| Haiku 4.5 | $0.00014 | $0.00402 |
Grade A, and why
lzheng-fitness-plan 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lzheng 个性化健身计划
把计划视为基于某一时间点用户状态的可验证训练假设。先建档、再分层、再选动作和训练变量，最后从同一份结构化数据生成文字与 HTML。
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。
读取模式
从零建档、结构性重做，或目标、频率、训练条件、安全限制、动作选择、训练量发生变化时，依次读取：
- 知识路由：确定本次应读取的内置知识与联网来源。
- 问诊与状态快照：收集必要信息并生成不可覆盖的时间快照。
- 训练者分层：判断整体 P0—L3 和单动作等级。
- 动作适配：选择固定器械、自由重量、自重或绳索动作。
- 计划设计：确定目标、频率、分化、训练量、渐进和短期降级。
- 计划数据协议：建立唯一
plan_contract。 - 计划页面视觉契约：固定页面结构、导航、模板资产和设计边界。
- HTML 输出规范：生成和审计最终页面。
- 证据基础：核验安全、训练频率、器械选择和公共活动量的来源边界。
- 训练专家选择协议：仅在专家变量会改变计划时选择最少必要来源模块。
不要凭模型记忆代替 Skill 内置资料。只读取知识路由为当前问题指定的参考文件；涉及容易变化的安全或公共指南时再联网核验官方来源。
低 token 局部修订
如果只修改已确认的日期排程、计划版本、训练周次、工作重量、次数/RPE 或由正式复盘明确给出的下一次处方，并且目标、频率、器械、健康限制、动作结构和周训练量均不变，则使用局部修订模式：
- 先运行
lzheng-training-system inspect --root "<系统根目录或训练项目根目录>"，不得读取整份健身工作台.html。 - 只读取摘要中
authoritative_sources指向的当前计划 JSON、当前执行基准和本次复盘/交接；不扫描历史计划、全部复盘、完整专家库或工作台模板。 - 必读
references/plan-contract.md；只有被修改变量涉及对应规则时，才读取动作、计划设计或证据参考。 - 在同一份当前计划结构上产生新版本 JSON，并重新运行完整 JSON 校验、HTML 渲染和 HTML 审计；校验完整不等于重新读取全部资料。
- 独立计划 HTML 只能写入计划目录，绝不得覆盖
健身工作台.html。创建LZHENG_HANDOFF后由process-handoffs刷新工作台数据块。
What ships with it
17 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 363 B
- assets/fitness-plan-template.html 13 KB
- assets/header-lineart.png 1441 KB
- references/evidence-base.md 2.1 KB
- references/exercise-selection.md 3.3 KB
- references/fitness-ui-contract.md 2.2 KB
- references/html-output-spec.md 2.9 KB
- references/intake-and-state-snapshot.md 2.9 KB
- references/knowledge-routing.md 2.4 KB
- references/plan-contract.example.json 11 KB
- references/plan-contract.md 8.8 KB
- references/program-design.md 3.8 KB
- references/trainee-classification.md 2.6 KB
- references/training-progression-protocol.md 20 KB
- scripts/audit_html_plan.py 4.3 KB runs code
- scripts/render_fitness_plan.py 18 KB runs code
- scripts/validate_plan.py 21 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 25c672a6efa9
- 2mo ago Changed · +12 lines 0c36ac285922
- 2mo ago First seen · 144 lines · 144 tokens per session scan A de1521b755e8
lzheng-fitness-plan is a skill published in the GitHub repository LZheng0411/Lzheng-fitness (140 stars, last pushed 6d ago), licensed MIT. It adds 144 tokens to every session and 4,024 once invoked, about $0.0006 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-fitness-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lzheng-fitness-planLZheng0411/Lzheng-fitness | Skill | 140 | 6d ago | MIT | A | 144 | 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 |