lzheng-fitness-workbench-builder

lzheng-fitness-workbench-builder is a skill for Codex from LZheng0411/Lzheng-fitness. It costs 148 tokens per session (4,352 once invoked), scanned A, original, MIT.

A builder for an offline personal fitness dashboard that combines a structured training plan, workout records, reviews, documents, and interface assets.

In plain words
What is it for?
Use it to build or migrate a fitness dashboard, update its data, replace wallpapers, connect a complete training plan, repair links after moving computers, and create a publishable copy.
Why use it?
It provides one repeatable way to create, refresh, move, check, and publish the dashboard without duplicating personal records or manually editing the page.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to build or migrate a fitness dashboard, update its data, replace wallpapers, connect a complete training plan, repair links after moving computers, and create a publishable copy.

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Install with agentmods
npx agentmods add skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder
Install

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.

Any agent
npx skills add LZheng0411/Lzheng-fitness --skill lzheng-fitness-workbench-builder
Clone the repo
git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness

Made for: Codex.

Wrote 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.

agentmods badge for lzheng-fitness-workbench-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder/github.svg)](https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder)
Your own site
<a href="https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder/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.

agentmods 80×15 button for lzheng-fitness-workbench-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-fitness-workbench-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,352 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00148 $0.04352
Opus 5.5 $0.00059 $0.01741
Sonnet 5.5 $0.00030 $0.00870
Haiku 4.5 $0.00015 $0.00435

Measured 6d ago against content hash 707481fc8890, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lzheng-fitness-workbench-builder 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.

The scan reads SKILL.md. This mod also ships 39 executable files (scripts/Adapt-PlanContract.py, scripts/Build-FitnessWorkbenchData.py, scripts/Check-FitnessWorkbench.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/lzheng-fitness-workbench-builder/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lzheng 健身工作台构建器

把工作台视为“唯一固定界面模板 + 用户事实文件 + 可重复构建脚本”。唯一视图资产是 assets/workbench-template.html;AI 只能刷新 workbench-data,不得手写另一套工作台。不把训练重量写死在页面视图,不复制其他人的个人记录。工作台必须适配增肌、减脂、力量和综合健身,四个力量主项只属于力量模式,不能作为其他目标的前提。

读取 ../lzheng-training-system/references/system-contract.md;如果存在交接记录,读取 ../lzheng-training-system/references/handoff-schema.md,只消费其中已确认产物。系统根目录优先使用本次用户指定路径,其次使用套件配置;视图代码不得包含固定磁盘路径。

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。

低 token 读取边界

日常计划修改、复盘和本地刷新禁止把整份 健身工作台.html 或 assets/workbench-template.html 读入 Agent 上下文。先运行:

python "<skill>/scripts/Inspect-FitnessWorkbench.py" --project "<项目根目录>"

该命令只输出模板完整性、当前计划、今日/下次训练、同步状态和本轮应读主源。随后只读取 authoritative_sources 中与当前任务有关的 JSON/Markdown;不要扫描历史计划、完整复盘目录、全部专家库或构建器源码。视觉开发、模板修复及检查器报出结构损坏时,才允许定点读取模板命中行;仍不得默认全量读取 100 KB 以上 HTML。

先判断任务

  • 侧栏缺失 / 已有页面升级:读取 界面升级,先检查实际运行模板和原 HTML,再使用独立 upgrade-workbench-ui。用户已经要求修复时直接完成兼容检查、备份、升级与浏览器验收;未知自定义不能静默覆盖。数据刷新和重新安装 Skill 都不能替代界面升级。

  • 从零构建 / 新电脑迁移:读取 输入契约,使用初始化脚本创建完整目录和可运行页面。

  • 刷新数据:保留正式 HTML 视图,只运行数据生成器更新唯一 workbench-data 数据块;schema 6 必须包含建档、系统、知识包、状态和来源核验信息。

  • 接入完整计划:完整计划使用 plan_contract 时,先运行 Adapt-PlanContract.py 适配为工作台主源;不得要求用户手工重写第二份计划 JSON。

  • 链接打不开 / 跨电脑迁移异常:完整读取 路径可迁移修复协议,先盘点全部入口、配置和发布目标,再修复并执行整体移动回归;不得只修改截图中的单个按钮。

  • 替换已有工作台壁纸:完整读取 壁纸替换,调用替换脚本完成备份、静态/动态模式、取景更新和检查;不得让用户手工改 HTML。

  • 修改项目默认界面或默认背景:读取 视觉契约,修改源模板后用模板刷新脚本生成脱敏模板。

  • 制作发布副本:读取 迁移与发布,先校验,再复制 HTML 和全部本地素材。

  • 制定计划或训练复盘:转交对应训练 Skill;本 Skill 只消费结果,不凭空生成个人处方。

Read the full file on GitHub · 180 lines

Files

What ships with it

60 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.

Changes

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.

  1. 6d ago Changed · +12 lines 707481fc8890
  2. 1mo ago Changed · +7 lines df6eb1763151
  3. 2mo ago Changed · +2 lines 49bd85a10c24
  4. 2mo ago Changed · +38 lines d62b8caae4c9
  5. 2mo ago First seen · 121 lines · 148 tokens per session scan A cdde8c2988cc

Subscribe to this mod's changes

lzheng-fitness-workbench-builder is a skill published in the GitHub repository LZheng0411/Lzheng-fitness (140 stars, last pushed 6d ago), licensed MIT. It adds 148 tokens to every session and 4,352 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.

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