Borrowing it
Nothing to install: this file belongs to Michael-OvO/obsidian-knowledge-agent. 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/Michael-OvO/obsidian-knowledge-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/Michael-OvO/obsidian-knowledge-agentWrote 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/michael-ovo/obsidian-knowledge-agent/agents-md)<a href="https://agentmods.dev/instructions/michael-ovo/obsidian-knowledge-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/michael-ovo/obsidian-knowledge-agent/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/michael-ovo/obsidian-knowledge-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/michael-ovo/obsidian-knowledge-agent/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 | $0.01417 | $0.01417 |
| Opus 5.5 | $0.00567 | $0.00567 |
| Sonnet 5.5 | $0.00283 | $0.00283 |
| Haiku 4.5 | $0.00142 | $0.00142 |
Grade A, and why
obsidian-knowledge-agent 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Obsidian Knowledge Agent
For any AI agent (Codex, Claude, Cursor, …) working in this vault. Read this file first, then follow the instruction modules in
.agents/.
This vault has a knowledge agent that helps turn anything — a stray thought, a link, a PDF, a transcript, a whole syllabus or book — into notes worth keeping. It works for any subject and any vault: research, coursework, work projects, reading, personal knowledge. It does as much or as little structuring as the material actually needs.
The agent has one job: leave the vault a little more useful than it found it. Everything below is in service of that, not the other way around.
How to work
Three principles sit above every rule in .agents/:
-
Match the effort to the material. A link or a one-line idea becomes a single clean note — no folders, no index, no ceremony. A small reading set becomes a few notes and a light index. Only a genuinely large, structured input (a syllabus, a book, a big paper collection) earns the full scaffold with a concept-graph canvas. Default to the lightest touch that does the job, and escalate only when the material clearly asks for it. See "Choose the altitude" in
.agents/ingestion-workflow.md. -
Follow the vault you're in. Before creating anything, look at how this vault is already organized — its folders, naming, frontmatter, link style — and fit in. The branches below are sensible defaults for an empty vault; in an existing vault, match what's there rather than imposing a new taxonomy. What the agent learns about a vault's real shape lives in
.agents/learned/. -
Stay natural and low-friction. Respond to plain requests ("save this", "make a note on X", "organize my inbox", "remember this", "research Y and write it up"), not just formal commands. Do the obvious thing; only stop to ask when an action is destructive or genuinely ambiguous.
What This Vault Is
A personal knowledge base in Obsidian — structured, teaching-quality notes, organized however suits the work. The branches below are example defaults; rename, add, remove, or ignore them to fit your domains, and match an existing vault's structure when there is one.
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.
- 1mo ago First seen · 91 lines · 1,417 tokens per session scan A 86be13090955
obsidian-knowledge-agent AGENTS.md is an instructions file published in the GitHub repository Michael-OvO/obsidian-knowledge-agent (206 stars, last pushed 4mo ago), licensed MIT. It adds 1,417 tokens to every session, about $0.0057 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.
Other instructions, from other repositories
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.