lzheng-training-return

lzheng-training-return is a skill for Codex from LZheng0411/Lzheng-fitness. It costs 152 tokens per session (1,691 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.

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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 1,691 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 $0.01691
Opus 5 $0.00076 $0.00846
Sonnet 5 $0.00030 $0.00338
Haiku 4.5 $0.00015 $0.00169

Measured 12d ago against content hash fb085a3c5237, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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 · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lzheng 训练中断恢复

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 confirmedinferredunknown,生成新的不可覆盖时间快照。不得覆盖中断前快照。

3. 判定恢复权限

输出以下之一:

  • normal_return:无明显安全阻断,条件基本未变,可进入保守接回;
  • degraded_return:无明显危险信号,但恢复或条件不足,需要降低训练压力;
  • minimum_return:心理或时间阻力很大,只安排能维持连续性的最低任务;
  • hold_and_refer:当前不宜生成普通恢复计划,建议先获得合适的专业评估。

4. 选择接回路径

遵循 references/return-workflow.md

  • 保留原计划主线和熟悉动作;
  • 第一周以出勤、动作感觉、疼痛反应和恢复为主要判据;
  • 不补课、不叠加错过的训练量、不测试极限;
  • 根据中断长度、原因和当前状态回退训练压力;
  • 给出正常、降级、最低三档任务;
  • 设定 48 小时内能完成的下一步;
  • 明确何时升级、维持、继续降级或暂停。

如果中断导致动作阶段、器械或能力明显变化,调用 lzheng-fitness-plan 重新评估相关维度;只有用户明确要求或确认单项周期时,才调用 lzheng-strength-cycle-planner

5. 保存产物

生成并保存:

  1. 新的状态快照;
  2. 《Lzheng 个人训练接回卡》;
  3. 如用户需要,更新后的第一周训练安排。

用户指定输出目录时优先使用;否则先读取已初始化系统的 系统/lzheng-system.json,把状态快照和接回卡写入 output_locations.returns;只有尚未建立系统配置时,才写入 LZHENG_FITNESS_HOME/returns/ 或当前工作目录的 lzheng-fitness-output/returns/。客户模式只使用代号。真实姓名、联系方式、病史原文不写入公共知识库或示例。

Read the full file on GitHub · 131 lines

Files

What ships with it

5 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. 12d 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 (65 stars, last pushed 2d ago), licensed MIT. It adds 152 tokens to every session and 1,691 once invoked, about $0.0008 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 2026-08-30.

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