Borrowing it
Nothing to install: this file belongs to LZheng0411/Lzheng-fitness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LZheng0411/Lzheng-fitness/main/AGENTS.mdgit 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/instructions/lzheng0411/lzheng-fitness/agents-md)<a href="https://agentmods.dev/instructions/lzheng0411/lzheng-fitness/agents-md"><img src="https://agentmods.dev/badge/instructions/lzheng0411/lzheng-fitness/agents-md/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/instructions/lzheng0411/lzheng-fitness/agents-md"><img src="https://agentmods.dev/badge/instructions/lzheng0411/lzheng-fitness/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00195 | $0.00195 |
| Opus 5 | $0.00097 | $0.00097 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
Lzheng-fitness AGENTS.md 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.
What it actually says
Lzheng Fitness 首次使用入口
当用户在此项目中第一次说“开始”、想增肌、减脂、提升力量或建立健身系统时，主动使用 lzheng-training-system。不要要求用户先阅读 README、输入命令或寻找 Skill。
先用自然语言问：
我来帮你建立个人健身系统。你的主要目标是增肌、减脂、力量，还是综合改善？
完成目标、训练经历、时间、器械、恢复、限制和现有记录的最少建档。缺少动作重量时，为每个动作安排重量校准；不得让用户凭感觉选择工作重量。完成正式计划后，将其接入当前周期、执行基准、复盘索引和工作台。工作台使用内置饿狼图片；独立计划页遵守 lzheng-fitness-plan 的固定页面视觉契约。
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.
- 12d ago First seen · 10 lines · 195 tokens per session scan A a405a907f909
Lzheng-fitness AGENTS.md is an instructions file published in the GitHub repository LZheng0411/Lzheng-fitness (65 stars, last pushed 2d ago), licensed MIT. It adds 195 tokens to every session, about $0.0010 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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