grepai is a local command-line tool that searches source code by meaning and traces function call graphs, rather than matching only exact words. Developers and coding agents use it to find relevant code, understand relationships between functions, and provide focused context for changes while keeping the code on the local machine. The catalogue entries expose its commands, skills, agent, and instruction for coding-agent workflows.
Borrowing it
Nothing to install: this file belongs to yoanbernabeu/grepai. 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/yoanbernabeu/grepai/main/AGENTS.mdgit clone --depth 1 https://github.com/yoanbernabeu/grepaiWrote 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/yoanbernabeu/grepai/agents-md)<a href="https://agentmods.dev/instructions/yoanbernabeu/grepai/agents-md"><img src="https://agentmods.dev/badge/instructions/yoanbernabeu/grepai/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/yoanbernabeu/grepai/agents-md"><img src="https://agentmods.dev/badge/instructions/yoanbernabeu/grepai/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 | $0.01632 | $0.01632 |
| Opus 5.5 | $0.00653 | $0.00653 |
| Sonnet 5.5 | $0.00326 | $0.00326 |
| Haiku 4.5 | $0.00163 | $0.00163 |
Grade A, and why
grepai 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 today.
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.
This is a copy
88% identical to grepai CLAUDE.md — 188 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents (Claude Code, Codex, Cursor, etc.) when working with code in this repository. CLAUDE.md only imports this file.
Build and Development Commands
# Build the binary
make build
# Run tests with race detection
make test
# Run tests with coverage report
make test-cover
# Lint with golangci-lint
make lint
# Build and run
make run
# Cross-compile for all platforms
make build-all
Architecture Overview
grepai is a semantic code search CLI tool that indexes code using vector embeddings for natural language queries.
Core Components
Interfaces define extensible backends:
embedder.Embedder(embedder/embedder.go) - Text-to-vector embedding providersstore.VectorStore(store/store.go) - Vector storage with similarity search
Current implementations:
- Embedders: Ollama (local), OpenAI (cloud)
- Stores: GOB (file-based), PostgreSQL with pgvector
Data Flow
- Scanner (
indexer/scanner.go) - Walks filesystem respecting gitignore patterns - Chunker (
indexer/chunker.go) - Splits files into overlapping chunks with context - Indexer (
indexer/indexer.go) - Orchestrates scanning, chunking, embedding, and storage - Watcher (
watcher/watcher.go) - Monitors filesystem for real-time incremental updates - Searcher (
search/search.go) - Embeds query and performs similarity search
CLI Commands (cli/)
init- Creates.grepai/config.yamlwith default configurationwatch- Starts daemon: full index + real-time file watchersearch- Queries the index with natural languageagent-setup- Configures Cursor/Claude Code integration
Configuration
Configuration stored in .grepai/config.yaml. Key options:
embedder.provider: "ollama" or "openai"store.backend: "gob" or "postgres"chunking.size/chunking.overlap: Token-based chunking parameters
Adding New Backends
New embedder: Implement Embedder interface in embedder/, add config in config/config.go, wire in CLI commands.
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.
- today First seen · 188 lines · 1,632 tokens per session scan A 65c2e1915549
grepai AGENTS.md is an instructions file published in the GitHub repository yoanbernabeu/grepai (1,925 stars, last pushed yesterday), licensed MIT. It adds 1,632 tokens to every session, about $0.0065 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to grepai CLAUDE.md, differing in 188 lines, and is treated as a copy.
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