QMD is a local search engine for Markdown notes, meeting transcripts, documentation, and knowledge bases. It combines keyword search, semantic vector search, and language-model reranking on the device for use in command-line or agent workflows. The catalogue add-ons connect agents to QMD and guide its use.
Borrowing it
Nothing to install: this file belongs to tobi/qmd. 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/tobi/qmd/main/CLAUDE.mdgit clone --depth 1 https://github.com/tobi/qmdWrote 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/tobi/qmd/claude-md)<a href="https://agentmods.dev/instructions/tobi/qmd/claude-md"><img src="https://agentmods.dev/badge/instructions/tobi/qmd/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/tobi/qmd/claude-md"><img src="https://agentmods.dev/badge/instructions/tobi/qmd/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 | $0.01887 | $0.01887 |
| Opus 5.5 | $0.00755 | $0.00755 |
| Sonnet 5.5 | $0.00377 | $0.00377 |
| Haiku 4.5 | $0.00189 | $0.00189 |
Grade A, and why
qmd 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 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QMD - Query Markup Documents
Use Bun instead of Node.js (bun not node, bun install not npm install).
Commands
qmd collection add . --name <n> # Create/index collection
qmd collection list # List all collections with details
qmd collection remove <name> # Remove a collection by name
qmd collection rename <old> <new> # Rename a collection
qmd collection metadata [name...] # Discover metadata keys, types, and value counts (--match, --filter, --key-limit, --value-limit)
qmd init # Create a project-local .qmd index
qmd ls [collection[/path]] # List collections or files in a collection
qmd context add [path] "text" # Add context for path (defaults to current dir)
qmd context list # List all contexts
qmd context check # Check for collections/paths missing context
qmd context rm <path> # Remove context
qmd get <file>[:from[:count]] # Get by path or docid (#abc123); optional line range
qmd multi-get <pattern> # Get multiple docs by glob or comma-separated list
qmd status # Show index status and collections
qmd doctor # Diagnose config, index, model, and device issues
qmd update # Re-index collections; configured update hooks run first
qmd trust [list|revoke] # Approve a checked-in .qmd config's hooks/paths/models
qmd embed # Generate vector embeddings (uses node-llama-cpp)
qmd query <query> # Search with query expansion + reranking (recommended)
qmd search <query> # Full-text keyword search (BM25, no LLM)
qmd vsearch <query> # Vector similarity search (no reranking)
qmd bench <fixture.json> # Run search-quality benchmarks
qmd mcp # Start MCP server (stdio transport)
qmd mcp --http [--port N] # Start MCP server (HTTP, default port 8181)
qmd mcp --http --daemon # Start as background daemon
qmd mcp stop # Stop background MCP daemon
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 Changed · +8 lines · +160 tokens per session e32a1e9fb3c0
- 2mo ago First seen · 186 lines · 1,727 tokens per session scan A 578a832b0b17
qmd CLAUDE.md is an instructions file published in the GitHub repository tobi/qmd (30,907 stars, last pushed 22d ago), licensed MIT. It adds 1,887 tokens to every session, about $0.0075 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.
qmd CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| qmd CLAUDE.mdtobi/qmd | Instructions file | 31k | 22d ago | MIT | A | 1,887 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |