Borrowing it
Nothing to install: this file belongs to chienchuanw/gma2-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/chienchuanw/gma2-mcp/dev/CLAUDE.mdgit clone --depth 1 https://github.com/chienchuanw/gma2-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/chienchuanw/gma2-mcp/claude-md)<a href="https://agentmods.dev/instructions/chienchuanw/gma2-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/chienchuanw/gma2-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/chienchuanw/gma2-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/chienchuanw/gma2-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 | $0.00698 | $0.00698 |
| Opus 5 | $0.00349 | $0.00349 |
| Sonnet 5 | $0.00140 | $0.00140 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
gma2-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 10d 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 — AI 協作守則（gma2-mcp）
給在本 repo 工作的 AI 代理。這些是專案的開發流程規則，請遵守。
1. 實作前先「訪談我」（不要猜意圖）
碰到非瑣碎的功能或改動時，動手寫 code 之前：
- 假設你還不完全懂我要什麼，一次問一個問題，問到清楚為止。
- 釐清四件事：Goal（目標）/ Input（輸入）/ Output（輸出）/ Steps（步驟與邊界、edge cases）。
- 把結論寫成一份簡短規格（可存成
proposal.md或寫在對話裡）給我確認。 - 我同意前，不要開始寫實作。寧可多問一題，不要事後返工。
瑣碎修改（typo、一行 fix、明確的小調整）可略過訪談，直接做。
2. 「完成」的定義 = make check 全綠
任何程式碼改動，做完的標準是 make check 全部通過：
make lint— ruff 檢查 + 格式（可用make fix自動修）make type— mypy 型別檢查make test— pytest（目前 1212 測）
沒有全綠就不算做完。 改了 code 一定要補/更新對應測試。
3. context 衛生（保持對話短、避免失真壓縮）
- 長對話分階段：每階段把狀態寫進檔案（規格 /
progress.md），然後用/clear清掉 context、讀回檔案接力——不必開新 session/重連遠端，/clear就在當前 session 內清空。 - 大任務拆成獨立模組，每模組派一個 sub-agent（短 context），主代理當「監工」讀
progress.md追進度。 - 模組要切乾淨、介面明確，子代理才能各做各的不互相干擾。
4. 既有架構慣例
- 分層：
src/commands/（純函式產生命令字串、不碰網路）→src/gma2_client.py（工作流組合）→src/server.py（MCP 工具）→src/telnet_client.py（連線）。 - grandMA2 定址會用小數 cue（1.5）與 page.exec 字串——命令產生器的型別已放寬為
int | float/int | str，別改回純 int。 - 機密（GMA 帳密等）走
.env，永不進 git。
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.
- 10d ago First seen · 37 lines · 698 tokens per session scan A f047775a6b3a
gma2-mcp CLAUDE.md is an instructions file published in the GitHub repository chienchuanw/gma2-mcp (14 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 698 tokens to every session, about $0.0035 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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