Borrowing it
Nothing to install: this file belongs to gatelynch/llm-knowledge-base. 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/gatelynch/llm-knowledge-base/main/AGENTS.mdgit clone --depth 1 https://github.com/gatelynch/llm-knowledge-baseWrote 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/gatelynch/llm-knowledge-base/agents-md)<a href="https://agentmods.dev/instructions/gatelynch/llm-knowledge-base/agents-md"><img src="https://agentmods.dev/badge/instructions/gatelynch/llm-knowledge-base/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/gatelynch/llm-knowledge-base/agents-md"><img src="https://agentmods.dev/badge/instructions/gatelynch/llm-knowledge-base/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 | $0.00650 | $0.00650 |
| Opus 5.5 | $0.00260 | $0.00260 |
| Sonnet 5.5 | $0.00130 | $0.00130 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
llm-knowledge-base 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 2mo 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
AGENTS.md
這份文件提供 Codex 與其他通用 agent 使用這個知識庫架構時的操作規則。
先讀這些文件
docs/architecture.mddocs/workflows.mddocs/examples/summary-external.mddocs/examples/summary-self.mddocs/examples/concept-entry.mddocs/examples/qa-log.md
核心架構
這是一個四層知識庫：
raw/：原始素材，收進來後不再修改wiki/：LLM 編譯後的知識，不手動維護brainstorming/：探索、問答、健康檢查等中間輸出artifacts/：使用者自己的作品與完成品
操作規則
- 不要修改
raw/裡已存在的檔案內容 - 讀取新素材後，將摘要寫入
wiki/summaries/ - 只在概念出現在 2 份以上摘要時建立或更新
wiki/concepts/ - 將索引寫入
wiki/indexes/All-Sources.md與wiki/indexes/All-Concepts.md - 將探索式問答與推理紀錄存入
brainstorming/chat/ - 將健康檢查報告存入
brainstorming/health/ - 將
artifacts/下的內容視為origin: self - 將
raw/articles/、raw/books/、raw/podcasts/、raw/papers/視為origin: external - 將
raw/notes/、raw/projects/視為origin: self
工作流程對應
compile：讀取raw/與artifacts/的新檔案，生成摘要、更新概念、更新索引thinking partner：針對一個複雜主題提出問題、搜尋相關筆記、整理暫時性結論write partner：為動筆前的寫作做資料蒐集，找出相關內容、反例、張力與未解問題braindump：把對話沉澱成可重用素材，存到brainstorming/chat/health check：檢查wiki/的一致性、完整性與連結性問題
與 Claude 相容
- Claude 專用設定仍放在
CLAUDE.md - Claude 專用 slash commands 仍放在
.claude/commands/ - 如果你是通用 agent，不要假設
.claude/commands/會自動變成可呼叫命令；請依docs/workflows.md的行為規格執行等價流程
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.
- 2mo ago First seen · 48 lines · 650 tokens per session scan A 700320c803cb
llm-knowledge-base AGENTS.md is an instructions file published in the GitHub repository gatelynch/llm-knowledge-base (343 stars, last pushed 7mo ago), licensed MIT. It adds 650 tokens to every session, about $0.0026 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 2026-08-30.
llm-knowledge-base AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| llm-knowledge-base AGENTS.mdgatelynch/llm-knowledge-base | Instructions file | 343 | 7mo ago | MIT | A | 650 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |