Borrowing it
Nothing to install: this file belongs to lwyBZss8924d/DeepSearchAgents. 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/lwyBZss8924d/DeepSearchAgents/main/CLAUDE.mdgit clone --depth 1 https://github.com/lwyBZss8924d/DeepSearchAgentsWrote 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/lwybzss8924d/deepsearchagents/claude-md)<a href="https://agentmods.dev/instructions/lwybzss8924d/deepsearchagents/claude-md"><img src="https://agentmods.dev/badge/instructions/lwybzss8924d/deepsearchagents/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/lwybzss8924d/deepsearchagents/claude-md"><img src="https://agentmods.dev/badge/instructions/lwybzss8924d/deepsearchagents/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 | $0.03728 | $0.03728 |
| Opus 5 | $0.01864 | $0.01864 |
| Sonnet 5 | $0.00746 | $0.00746 |
| Haiku 4.5 | $0.00373 | $0.00373 |
Grade A, and why
DeepSearchAgents 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 10d 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 — 440 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.
DeepSearchAgent Project
DeepSearchAgent is an intelligent agent system that combines the ReAct (Reasoning + Acting) framework and the CodeAct concept (executable code agents) to enable deep web search and reasoning capabilities. Built on Hugging Face's smolagents framework, it provides multi-step reasoning for complex queries through various interfaces.
Version 0.3.3.dev introduces a complete web frontend with real-time streaming, metadata-driven component routing, and a simplified WebSocket API architecture.
Development Commands
Common Development Tasks
# Install dependencies (with development tools)
uv pip install -e ".[dev,test,cli]"
# Run tests
make test
# Run specific test file
uv run -- pytest tests/test_specific.py
# Run tests with coverage
uv run -- pytest --cov=src tests
# Start development servers
make run # FastAPI server (default port 8000)
# Web API v2 is accessible via the main FastAPI server
make cli # Interactive CLI mode
# CLI with specific agent modes
make cli-react # ReAct agent (non-interactive)
make cli-codact # CodeAct agent (non-interactive)
# MCP server
python -m src.agents.servers.run_fastmcp
# Frontend development
cd frontend && npm install # Install dependencies
cd frontend && npm run dev # Start development server (port 3000)
cd frontend && npm run build # Build for production
cd frontend && npm run lint # Run linting
Configuration Setup
cp config.template.toml config.toml # Non-sensitive settings
cp .env.example .env # API keys
High-Level Architecture
Agent System Design
The project implements a dual-agent architecture:
- CodeAct Agent: Executes Python code to perform actions, suitable for computational tasks
- ReAct Agent: Uses structured tool calling with JSON responses, better for web search tasks
- Runtime Manager: Handles execution environment and tool availability for both agent types
- Model Routing: Supports multiple LLM providers through LiteLLM with configurable model selection
- Web API v2: Simplified WebSocket API with direct Gradio message pass-through (~500 lines, down from ~5000)
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.
- 10d ago First seen · 440 lines · 3,728 tokens per session scan A 37ba6b8e3014
DeepSearchAgents CLAUDE.md is an instructions file published in the GitHub repository lwyBZss8924d/DeepSearchAgents (135 stars, last pushed 1y ago), licensed MIT. It adds 3,728 tokens to every session, about $0.0186 per session on Opus 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.
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