Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git 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/rules/lwybzss8924d/deepsearchagents/project-overview)<a href="https://agentmods.dev/rules/lwybzss8924d/deepsearchagents/project-overview"><img src="https://agentmods.dev/badge/rules/lwybzss8924d/deepsearchagents/project-overview.svg" alt="Measured on agentmods" 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 | $0.01200 | $0.01200 |
| Opus 5 | $0.00600 | $0.00600 |
| Sonnet 5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
project-overview 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 8d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
Project Structure
src/agents/
├── agent.py # ReAct agent implementation
├── cli.py # Command-line interface
├── codact_agent.py # CodeAct agent implementation
├── config_loader.py # Configuration loading utilities
├── main.py # FastAPI web service
├── prompt_templates/ # Modular prompt template system
│ ├── codact_prompts.py # CodeAct agent prompts
│ └── react_prompts.py # ReAct agent prompts
├── streaming_agents.py # Streaming agent implementations
├── streaming_models.py # Streaming model wrappers
├── core/ # Core implementation classes
│ └── chunk/ # Text chunking components
│ └── segmenter.py # Jina AI Segmenter implementation
└── tools/ # Tool implementations
├── chunk.py # Text chunking tool
├── embed.py # Text embedding tool
├── final_answer.py # Final answer generation tool
├── readurl.py # URL content reading tool
├── rerank.py # Content reranking tool
├── search.py # Web search tool
└── wolfram.py # Wolfram Alpha computational tool
Version
Current version: 0.2.4.dev (as specified in pyproject.toml)
Core Components
Agent Implementations
- src/agents/main.py: Main FastAPI service entry point
- src/agents/cli.py: Command-line interface with improved logging
- config.toml: Configuration file with enhanced logging options
- requirements.txt: Project dependencies
- src/agents/agent.py: Base agent implementation (ReAct paradigm)
- src/agents/codact_agent.py: CodeAct agent implementation
- streaming_agents.py: Streaming-enabled versions of both agents (not recommended)
- streaming_models.py: Model wrappers supporting streaming output
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.
- 8d ago First seen · 116 lines · 1,200 tokens per session scan A 54d691bce927
project-overview is a cursor rule published in the GitHub repository lwyBZss8924d/DeepSearchAgents (135 stars, last pushed 1y ago), licensed MIT. It adds 1,200 tokens to every session, about $0.0060 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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