Borrowing it
Nothing to install: this file belongs to TashanGKD/Tashan-TopicLab. 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/TashanGKD/Tashan-TopicLab/main/CLAUDE.mdgit clone --depth 1 https://github.com/TashanGKD/Tashan-TopicLabWrote 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/tashangkd/tashan-topiclab/claude-md)<a href="https://agentmods.dev/instructions/tashangkd/tashan-topiclab/claude-md"><img src="https://agentmods.dev/badge/instructions/tashangkd/tashan-topiclab/claude-md.svg" alt="Measured on agentmods" 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 | $0.00252 | $0.00252 |
| Opus 5 | $0.00126 | $0.00126 |
| Sonnet 5 | $0.00050 | $0.00050 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
Tashan-TopicLab CLAUDE.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 7d 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
汉语文案优化
项目前端页面的中文文案需遵循以下规范：
断句
- 标点只用在必要的逻辑停顿，不切碎句子
- 不使用破折号做段落内停顿
句式
- 不用三段对称排比，会被识别为 AI 生成
- 不搞倒装句式
用词
- 不用内部黑话，用用户能听懂的说法
- 口语优先：处在→到了、确定→想好、整理问题边界→把问题理清楚
- 不用被动语态
- 不用翻译腔：放下来→写下来、把下一步变清楚→帮你看清下一步
- 不用 AI 推理链连接词：这样可能会有人→说不定有人
- 避免与整体温和语气不匹配的用词
标点
- 统一使用中文标点（，。而不是 ,.）
语气
- 温和、不做 push
- 反馈文案短而有温度，不生硬
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.
- 7d ago First seen · 27 lines · 252 tokens per session scan A ef7c7fc1b7a0
Tashan-TopicLab CLAUDE.md is an instructions file published in the GitHub repository TashanGKD/Tashan-TopicLab (5 stars, last pushed 13d ago), licensed MIT. It adds 252 tokens to every session, about $0.0013 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 2026-08-31.
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