Borrowing it
Nothing to install: this file belongs to VioletCranberry/coco-search. 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/VioletCranberry/coco-search/main/CLAUDE.mdgit clone --depth 1 https://github.com/VioletCranberry/coco-searchWrote 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/violetcranberry/coco-search/claude-md)<a href="https://agentmods.dev/instructions/violetcranberry/coco-search/claude-md"><img src="https://agentmods.dev/badge/instructions/violetcranberry/coco-search/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/violetcranberry/coco-search/claude-md"><img src="https://agentmods.dev/badge/instructions/violetcranberry/coco-search/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 | $0.08364 | $0.08364 |
| Opus 5.5 | $0.03346 | $0.03346 |
| Sonnet 5.5 | $0.01673 | $0.01673 |
| Haiku 4.5 | $0.00836 | $0.00836 |
Grade A, and why
coco-search 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Instructions
This file provides guidance to AI coding agents (Claude Code, OpenCode, and others) when working with code in this repository. It is the single source of truth — AGENTS.md is a symlink to this file.
Project Overview
CocoSearch is a local-first hybrid semantic code search tool powered by CocoIndex and Tree-sitter. It indexes codebases into PostgreSQL with pgvector embeddings and provides search through CLI, MCP server, or interactive REPL. Local by default with Ollama; optional remote embedding providers (OpenAI, OpenRouter) available for teams that prefer managed infrastructure. Requires Python >=3.11.
Tool Routing (MANDATORY)
When CocoSearch MCP tools are available, ALWAYS use them instead of Grep, Glob, or Task/Explore agents for code search and exploration. These rules are mandatory, not advisory. Violations degrade search quality and create unnecessary permission prompts.
| Task | Use this | NOT this |
|---|---|---|
| Code search / "how does X work?" | search_code |
Grep, Glob, Task (Explore) |
| Symbol lookup / "find function Y" | search_code with symbol_name/symbol_type |
Grep for def/class patterns |
| Dependency tracing / "what imports X?" | get_file_dependencies / get_file_impact |
Grep for import statements |
| Batch dependency analysis (multiple files) | get_batch_dependencies / get_batch_impact |
Per-file get_file_dependencies calls |
| Search debugging / "why no results?" | analyze_query |
Manual pipeline investigation |
Fall back to Grep/Glob ONLY for:
- Exact literal string matches (e.g., a specific error message or config value)
- File path pattern matching (e.g., "find all
*.test.tsfiles") - Editing operations that need line numbers from a known file
Development Setup
# Prerequisites: Docker, uv (Python package manager)
# One-command setup (starts infra, pulls model, installs deps, indexes codebase):
./dev-setup.sh
# Or manually:
docker compose --profile ollama up -d # PostgreSQL 17 + Ollama
uv sync # Install dependencies
uv run cocosearch index . # Index the codebase
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 · +195 tokens per session a813423a265c
- 1mo ago First seen · 280 lines · 8,169 tokens per session scan A c239020797d4
coco-search CLAUDE.md is an instructions file published in the GitHub repository VioletCranberry/coco-search (37 stars, last pushed 6d ago), licensed MIT. It adds 8,364 tokens to every session, about $0.0335 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.