Borrowing it
Nothing to install: this file belongs to taux-io/twse-mcp. 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/taux-io/twse-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/taux-io/twse-mcpWrote 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/taux-io/twse-mcp/claude-md)<a href="https://agentmods.dev/instructions/taux-io/twse-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/taux-io/twse-mcp/claude-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/taux-io/twse-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/taux-io/twse-mcp/claude-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 | $0.00510 | $0.00510 |
| Opus 5.5 | $0.00204 | $0.00204 |
| Sonnet 5.5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
twse-mcp 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 8d 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
CLAUDE.md
專案慣例、eval、smoke、介面快照的規則都在 AGENTS.md。這裡只放工作方式。
工作方式
- 走偏就停下來重新規劃。 做法不收斂、結果和預期不符時，先停下來重新規劃，不要繼續硬推。
- 完成之前先證明它能用：
npm test、npm run typecheck、npm run check-readmes都要通過。- 改到工具回應的形狀，跑本機 smoke；改到描述，跑
eval:ab（見 AGENTS.md）。 - 比較改動前後的行為，用 main 當對照組（
eval:ab會用 worktree 起一份 main 的伺服器）；不要拿正式環境來比。 - 合併前跑
npm run pr:wait（可帶 PR 編號），exit code 是 0 才合併。它會先等檢查註冊再 watch； 直接gh pr checks --watch在剛開 PR 時會提早以非 0 結束。不要用 pipe 處理輸出，pipe 會把失敗吞掉。 - 合併後跑
npm run main-wait，exit code 是 0 才算 main 上的 tests 通過；失敗時它會印出查原因的指令。同樣不要用 pipe。
- 修 bug 要找根因。
- 先看 log、失敗的測試或 CI 輸出，修的是原因，不是症狀。
- CI 失敗直接查、直接修，不用等人指示。
- 如果失敗來自上游（回應的 caveat 寫著「取得失敗」），就回報，不要把測試改寬來通過。
- 力求簡單，只動必要的地方。
- 不是小改動的，送出前先問自己：有沒有更簡單、影響更小的做法？
- 簡單、明顯的修正就直接改，不要過度設計。
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.
- 8d ago Changed · +2 lines · +97 tokens per session 5b4ef22e74f9
- 25d ago First seen · 20 lines · 413 tokens per session scan A 247d54e2c754
twse-mcp CLAUDE.md is an instructions file published in the GitHub repository taux-io/twse-mcp (0 stars, last pushed 3d ago), licensed MIT. It adds 510 tokens to every session, about $0.0020 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 2026-10-05.
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