Borrowing it
Nothing to install: this file belongs to andnp/ragdocs-mcp. 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/andnp/ragdocs-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/andnp/ragdocs-mcpWrote 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/andnp/ragdocs-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/andnp/ragdocs-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/andnp/ragdocs-mcp/copilot-instructions/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/andnp/ragdocs-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/andnp/ragdocs-mcp/copilot-instructions.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 | $0.01800 | $0.01800 |
| Opus 5.5 | $0.00720 | $0.00720 |
| Sonnet 5.5 | $0.00360 | $0.00360 |
| Haiku 4.5 | $0.00180 | $0.00180 |
Grade A, and why
ragdocs-mcp copilot-instructions.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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions for mcp-markdown-ragdocs
Project Overview
mcp-markdown-ragdocs is a local-first RAG server providing semantic search over Markdown documentation via the Model Context Protocol (MCP). It combines vector search (FAISS), keyword search (Whoosh BM25), and graph traversal (NetworkX) using Reciprocal Rank Fusion.
Core Features: Hybrid search, git history search, AI memory bank with time range filtering, zero-config auto-indexing, multi-project support
Technology Stack
Language: Python 3.13+ (modern typing with list[T], dict[K,V], T | None)
Search: FAISS (vectors), Whoosh (BM25), NetworkX (graph)
Parsing: tree-sitter (Markdown AST)
MCP: stdio protocol via mcp SDK
Web: FastAPI (optional HTTP interface)
Tools: uv (package manager), pytest (testing), ruff (linting), Pyrefly (type checking)
Architecture
Four Layers:
- Interface:
src/mcp_server.py(MCP tools),src/server.py(FastAPI) - Core:
src/context.py(singleton state),src/config.py(TOML config),src/models.py(dataclasses) - Indexing:
src/indexing/manager.py(coordinator),src/parsers/(pluggable),src/chunking/(hierarchy-aware) - Search:
src/search/orchestrator.py(parallel + RRF fusion),src/search/pipeline.py(dedup, MMR)
Multiprocess Mode (default): Main process handles MCP protocol with read-only indices; worker process handles indexing. See src/ipc/, src/worker/, src/reader/. Disable with worker.enabled = false.
Key Patterns: Protocol-based abstractions, async-first with asyncio.gather(), dataclass configs, singleton coordination, lazy initialization
Project Layout
src/
├── cli.py # Click commands (run, mcp, query, rebuild-index)
├── mcp_server.py # MCP tool registration and handlers
├── server.py # FastAPI HTTP server
├── context.py # ApplicationContext singleton
├── config.py # TOML config loading, project detection
├── models.py # Document, Chunk, ChunkResult dataclasses
├── lifecycle.py # LifecycleCoordinator (shutdown, worker management)
├── chunking/ # HeaderChunker (preserves hierarchy)
├── git/ # Commit indexing, search, watching
├── indexing/ # IndexManager, FileWatcher, reconciliation
├── indices/ # VectorIndex (FAISS), KeywordIndex (Whoosh), GraphStore (NetworkX)
├── ipc/ # Inter-process communication (commands, queues, sync)
├── memory/ # AI memory bank (CRUD, search, graph linking)
├── parsers/ # MarkdownParser (tree-sitter), PlainTextParser
├── reader/ # ReadOnlyContext for multiprocess mode
├── search/ # Orchestrator (RRF fusion), Pipeline (dedup, MMR)
└── worker/ # Worker process entry point and state
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 · 154 lines · 1,800 tokens per session scan A 6e8ef6cf83f3
ragdocs-mcp copilot-instructions.md is an instructions file published in the GitHub repository andnp/ragdocs-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 1,800 tokens to every session, about $0.0072 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 2026-08-31.
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