Borrowing it
Nothing to install: this file belongs to adamthewilliam/grepika. 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/adamthewilliam/grepika/main/AGENTS.mdgit clone --depth 1 https://github.com/adamthewilliam/grepikaWrote 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/adamthewilliam/grepika/agents-md)<a href="https://agentmods.dev/instructions/adamthewilliam/grepika/agents-md"><img src="https://agentmods.dev/badge/instructions/adamthewilliam/grepika/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/adamthewilliam/grepika/agents-md"><img src="https://agentmods.dev/badge/instructions/adamthewilliam/grepika/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 | $0.01443 | $0.01443 |
| Opus 5.5 | $0.00577 | $0.00577 |
| Sonnet 5.5 | $0.00289 | $0.00289 |
| Haiku 4.5 | $0.00144 | $0.00144 |
Grade A, and why
grepika 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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- grepika CLAUDE.md — 89% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.
Project Overview
grepika is a token-efficient MCP (Model Context Protocol) server for code search. It combines three search backends for high-quality results:
- FTS5 - SQLite full-text search with BM25 ranking
- Grep - Parallel regex search using ripgrep internals
- Sparse n-gram prefilter - Fast substring candidate filtering, exposed through the legacy trigram naming in the code
The server communicates via JSON-RPC over stdin/stdout when running as an MCP server.
Build & Run Commands
# Build
cargo build --release
# Run MCP server — global mode (recommended, LLM calls add_workspace)
./target/release/grepika --mcp
# Run MCP server — single workspace mode
./target/release/grepika --mcp --root <path>
# CLI commands
grepika index # Index the codebase
grepika search <query> -l 20 -m combined # Search (modes: combined, fts, grep)
grepika get <path> -s 1 -e 100 # Get file content with line range
# Run tests
cargo test
# Run single test
cargo test test_name
# Enable profiling logs
grepika --mcp --log-file /tmp/grepika.log
Architecture
MCP Server (rmcp) ← JSON-RPC stdin/stdout
│
Tool Router (server.rs) ← search, structural_search, get, outline, toc, context, stats, refs, graph, index, diff, add_workspace
│
Workspace ← Holds root + SearchService + Indexer (None in global mode)
│
SearchService ← spawn_blocking for async bridge
│
┌──────┼──────┐
FTS5 Grep Sparse n-gram ← Three lexical backends with weighted score merging
│
SQLite + r2d2 pool ← ~/.cache/grepika/<hash>.db by default
Key Design Decisions
- spawn_blocking bridge: MCP handlers are async (rmcp), but search operations are CPU-bound. The
run_toolhelper inserver.rsusestokio::task::spawn_blockingto bridge this gap.
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 · 124 lines · 1,443 tokens per session scan A e92243a18354
grepika AGENTS.md is an instructions file published in the GitHub repository adamthewilliam/grepika (138 stars, last pushed 2mo ago), licensed MIT. It adds 1,443 tokens to every session, about $0.0058 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.
grepika AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| grepika AGENTS.mdadamthewilliam/grepika | Instructions file | 138 | 2mo ago | MIT | A | 1,443 | Codex, OpenCode |
| 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 |