lzheng-training-return

lzheng-training-return is a skill for Codex from LZheng0411/Lzheng-fitness. It costs 152 tokens per session (2,324 once invoked), scanned A, original, MIT.

A training-return guide for restarting exercise after a longer break, illness, injury assessment, or major changes in your training situation.

In plain words
What is it for?
It helps rebuild a training plan, choose normal or reduced workouts, and set actions for the first 48 hours. It does not diagnose medical problems.
Why use it?
It helps avoid jumping straight back into old workouts when your current ability or safety conditions may have changed.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps rebuild a training plan, choose normal or reduced workouts, and set actions for the first 48 hours. It does not diagnose medical problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lzheng0411/lzheng-fitness/lzheng-training-return
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-training-return
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-training-return

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lzheng0411/lzheng-fitness/lzheng-training-return"><img src="https://agentmods.dev/badge/skills/lzheng0411/lzheng-fitness/lzheng-training-return.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,324 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 $0.00152 $0.02324
Opus 5.5 $0.00061 $0.00930
Sonnet 5.5 $0.00030 $0.00465
Haiku 4.5 $0.00015 $0.00232

Measured 6d ago against content hash a255226a8100, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lzheng-training-return 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.

skills/lzheng-training-return/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lzheng 训练中断恢复

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。

目标

把“中断了,不知道怎么回来”变成一条安全、低阻力、能在 48 小时内启动的接回路径。先判断是否适合恢复,再依据当前事实调整原计划;不把恢复期做成惩罚性补课,也不重写与中断无关的长期目标。

使用边界

满足任一条件时使用本 Skill:

  • 停训达到 7 天;
  • 连续漏练 3 次;
  • 生病后恢复,或伤病已经过适当评估并获准恢复;
  • 训练场地、器械、时间或身体能力明显变化;
  • 4 周内反复中断;
  • 用户主动询问中断恢复或重新开始训练。

以下情况不在本 Skill 内直接安排普通训练:

  • 胸痛、晕厥、异常气短等需要医疗评估的症状;
  • 疼痛加重、麻木、明显功能受限或尚未明确能否恢复运动;
  • 急性发热、全身症状仍在持续;
  • 用户无法确认关键安全信息。

漏练 1 次不补课,按原顺序继续。漏练 2 次由主 Skill 生成 30 分钟或状态差版,完成后接回原计划。

必读资料

开始诊断前完整读取:

  1. references/knowledge-routing.md
  2. references/return-workflow.md
  3. references/return-card-spec.md
  4. references/evidence-base.md
  5. ../lzheng-training-expert-library/references/expert-selection-contract.md(仅在独立专家变量会改变接回路径时)

再按知识路由读取与当前情况相关的内置资料;容易变化的恢复安全标准应联网核验官方来源。不得仅凭模型记忆作出处方。

目标含糊、反复中断或“回到基础”是关键变量时可读取 Dan John;只有用户已经获得合格专业人员评估并允许活动,且问题是功能进阶、返场验证或二级预防时才读取 Brukner 与 Khan。未评估疼痛、急性创伤、术后未获许可、疾病或红旗症状先走安全分流,不进入专家讨论。专家不能批准恢复训练,也不能覆盖医疗限制、当前事实和本 Skill 的最终接回决定。

工作流

1. 读取当前执行基准

优先收集:

  • 最近一份带时间戳的状态快照;
  • 中断前正在执行的计划及最近完成训练;
  • 本次用户确认的动态事实;
  • 用户授权且当前环境可访问时,读取外部训练记录服务中的当前记录、日记和恢复状态;
  • 中断前后的器械、时间和生活条件变化。

找不到原计划时明确标记 unknown,不得虚构原重量、频率或动作。必要时输出保守的重新评估周,而不是假装“接回原计划”。

2. 做最小恢复问诊

至少确认:

  • 最后一次训练日期和中断时长;
  • 中断原因与过去 4 周的反复情况;
  • 当前症状、疼痛、活动受限及医疗建议;
  • 睡眠、压力、食欲、主观精力;
  • 当前可训练时间、场地与器械;
  • 中断前计划、主要动作及可复现重量;
  • 用户现在最愿意完成的最小训练任务。

把信息分为 confirmed、inferred、unknown,生成新的不可覆盖时间快照。不得覆盖中断前快照。

Read the full file on GitHub · 149 lines

Files

What ships with it

6 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 · +18 lines a255226a8100
  2. 2mo ago First seen · 131 lines · 152 tokens per session scan A fb085a3c5237

Subscribe to this mod's changes

lzheng-training-return is a skill published in the GitHub repository LZheng0411/Lzheng-fitness (140 stars, last pushed 6d ago), licensed MIT. It adds 152 tokens to every session and 2,324 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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