Borrowing it
Nothing to install: this file belongs to grusingh/gurbani-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/grusingh/gurbani-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/grusingh/gurbani-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/grusingh/gurbani-mcp/claude-md)<a href="https://agentmods.dev/instructions/grusingh/gurbani-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/grusingh/gurbani-mcp/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/grusingh/gurbani-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/grusingh/gurbani-mcp/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 | $0.02677 | $0.02677 |
| Opus 5.5 | $0.01071 | $0.01071 |
| Sonnet 5.5 | $0.00535 | $0.00535 |
| Haiku 4.5 | $0.00268 | $0.00268 |
Grade A, and why
gurbani-mcp 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.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Purpose
A self-contained RAG pipeline, MCP server, and HTTP API for looking up and verifying Gurbani quotes against Sri Guru Granth Sahib (SGGS). This project covers SGGS only; other Banis present in the BaniDB seed are intentionally not extracted.
- RAG pipeline — keyword search with Gurbani concept expansion over an SQLite database
- MCP server — exposes Gurbani search/lookup/verify tools to MCP clients (Claude Desktop, Claude Code, Cursor)
- HTTP API — the same tools over REST, for clients that can't speak MCP (e.g. a ChatGPT Custom GPT via Actions)
Authenticity is paramount — Gurbani text must be reproduced exactly as found in the source data, never paraphrased or altered.
Stack
- Language: Python 3.11+
- Package manager:
uv(preferred) - Search: SQLite FTS via keyword matching + concept expansion (
gurbani_rag/concepts.py) - Optional semantic search: ChromaDB + sentence-transformers (run
scripts/build_index.py) - MCP: MCP Python SDK
Key Concepts
- Shabad: A complete hymn/composition in the SGGS; the primary unit of search and retrieval
- Ang: Page number in the SGGS (1–1430)
- Gurbani: The sacred scripture text — must never be paraphrased, summarised, or altered
Data Sources
Gurbani data comes from the Khalis Foundation BaniDB — the dataset behind SikhiToTheMax. It ships as a seeded MariaDB inside the khalisfoundation/banidb-dev Docker image.
Nothing derived from BaniDB is committed to this repo — database/ is
gitignored. Every user builds their own database/dist/banidb.sqlite locally
via Docker (see below), since BaniDB's license doesn't cover redistributing
the compiled dataset.
Unlike the source MariaDB, BaniDB carries a per-line English transliteration (Transliteration column) alongside the Gurmukhi and English translation — every SGGS line has all three.
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 · 197 lines · 2,677 tokens per session scan A 52d2436d61a4
gurbani-mcp CLAUDE.md is an instructions file published in the GitHub repository grusingh/gurbani-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 2,677 tokens to every session, about $0.0107 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.
gurbani-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gurbani-mcp CLAUDE.mdgrusingh/gurbani-mcp | Instructions file | 0 | 2mo ago | MIT | A | 2,677 | 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 |