Borrowing it
Nothing to install: this file belongs to iamraven-tw/Learn-GAS. 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/iamraven-tw/Learn-GAS/main/AGENTS.mdgit clone --depth 1 https://github.com/iamraven-tw/Learn-GASWrote 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/iamraven-tw/learn-gas/agents-md)<a href="https://agentmods.dev/instructions/iamraven-tw/learn-gas/agents-md"><img src="https://agentmods.dev/badge/instructions/iamraven-tw/learn-gas/agents-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 | $0.00797 | $0.00797 |
| Opus 5 | $0.00398 | $0.00398 |
| Sonnet 5 | $0.00159 | $0.00159 |
| Haiku 4.5 | $0.00080 | $0.00080 |
Grade A, and why
Learn-GAS 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 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
協作規則
- 請使用繁體中文回覆與撰寫文件。
- 新增一般工具程式時，優先使用 TypeScript 或 Python。
- Apps Script 執行程式預設使用依功能分檔的
.gs；只有完整建立 TypeScript 與 bundler 建置流程時才使用.ts，不得直接將原始.ts交給 clasp 推送。 - 程式碼必須包含必要的繁體中文註解。
- 不得提交
.clasprc.json、OAuth 憑證、API 金鑰、存取權杖或私人 Script ID。 - 修改 Apps Script OAuth scopes 時，採用完成需求所需的最小權限。
- 執行
clasp push、部署、建立 GitHub 遠端或公開發布前，必須先取得使用者確認。 - 對使用者第一次提到
clasp push時，先說明它是把本機已完成並通過測試的程式與資訊清單同步到指定 Apps Script 專案，不等於執行程式、寄信、建立觸發器或部署；固定稱為「推送到Apps Script(clasp push)」，不得只丟出英文命令。 - 面向一般使用者或初學者的技術術語，先用白話解釋用途，再固定寫成「中文名稱(English)」，不得只使用英文術語或縮寫；例如「紀錄檔(Log)」。程式碼、命令、檔名、屬性名稱、產品名稱及正式介面文字維持原文，但必須另用中文說明用途。
技能包安裝規則
- 使用者要求安裝、更新、檢查或移除本技能包時，先完整讀取根目錄的
INSTALL.md，並以該文件作為唯一安裝規格。 - 依目前實際執行的 Agent 用戶端選擇安裝路徑，不得用目前選用的模型名稱判斷。若無法確認用戶端，先詢問使用者，不得猜測。
- 除非使用者明確要求專案限定安裝，否則本技能包預設採使用者層級的全域安裝，讓技能可在 Learn-GAS 儲存庫外的學員專案使用。
- 一次只安裝到目前用戶端對應的一個技能目錄，不得為了保險同時寫入 Claude Code、Codex 與 Antigravity 的所有路徑。
skills/是技能包原始內容，不是任何 Agent 已完成安裝的證據。安裝時必須保留四個技能目錄與learner-facing-terminology.md的相對位置。- 寫入前先核對來源、完整目的地、安裝範圍與同名檔案。遇到既有同名技能或內容差異時停止，說明影響並取得使用者確認，不得直接覆寫或刪除。
- 只有使用者明確要求安裝或更新時才可寫入 Agent 的技能目錄；檢查、說明或閱讀專案不代表取得安裝授權。
- 檔案複製完成不等於技能已可使用。必須依
INSTALL.md在對應用戶端重新載入或開啟新工作階段，並從實際技能清單確認四個技能都可被發現，才能回報安裝完成。
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 First seen · 23 lines · 797 tokens per session scan A b180a66f1759
Learn-GAS AGENTS.md is an instructions file published in the GitHub repository iamraven-tw/Learn-GAS (22 stars, last pushed 1mo ago), licensed MIT. It adds 797 tokens to every session, about $0.0040 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.