Borrowing it
Nothing to install: this file belongs to daje0601/Obsidian-RAG. 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/daje0601/Obsidian-RAG/main/CLAUDE.mdgit clone --depth 1 https://github.com/daje0601/Obsidian-RAGWrote 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/daje0601/obsidian-rag/claude-md)<a href="https://agentmods.dev/instructions/daje0601/obsidian-rag/claude-md"><img src="https://agentmods.dev/badge/instructions/daje0601/obsidian-rag/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/daje0601/obsidian-rag/claude-md"><img src="https://agentmods.dev/badge/instructions/daje0601/obsidian-rag/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 | $0.00396 | $0.00396 |
| Opus 5.5 | $0.00158 | $0.00158 |
| Sonnet 5.5 | $0.00079 | $0.00079 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
Obsidian-RAG 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 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
Knowledge Base — Vault Conventions
Vault Structure
raw/— Source material, clipped articles, research (input zone)wiki/— LLM-compiled knowledge base (you maintain this)output/— Query results and generated reports
Wiki System
You are the librarian of the wiki/ folder. You write and maintain everything in it.
Structure
wiki/_master-index.mdis the entry point — lists every topic with a one-line description.- Each topic gets its own subfolder with its own
_index.mdlisting all articles.
Compiling
When I say "compile" or dump new material in raw/:
- Read each raw file
- Decide which topic it belongs to (or create a new topic folder)
- Write a wiki article with key takeaways and [[wiki links]] to related concepts
- Update that topic's
_index.md - Update
wiki/_master-index.md - If a raw file spans multiple topics, create articles in both and cross-link
Querying
When answering questions against the knowledge base:
- Read
wiki/_master-index.mdfirst to find the right topic - Read that topic's
_index.mdto find relevant articles - Read the specific articles
- Synthesize the answer
Auditing
When I say "audit" or "lint", review the wiki for:
- Inconsistent or contradictory information
- Missing cross-links between related concepts
- Gaps in coverage
- Suggest improvements, but don't make changes without confirmation
Conventions
- Always use [[wiki links]] when referencing other notes
- File names: lowercase with hyphens (e.g.,
ai-agent-overview.md) - Keep articles concise — bullet points over paragraphs
- Always include a
## Key Takeawayssection in wiki articles
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 · 43 lines · 396 tokens per session scan A 7b49a523369c
Obsidian-RAG CLAUDE.md is an instructions file published in the GitHub repository daje0601/Obsidian-RAG (24 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 396 tokens to every session, about $0.0016 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.
Obsidian-RAG CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Obsidian-RAG CLAUDE.mddaje0601/Obsidian-RAG | Instructions file | 24 | 7mo ago | Apache-2.0 | A | 396 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | 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 |