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.
npx agentmods add rules/lwybzss8924d/deepsearchagents/interfacesgit 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/interfaces)<a href="https://agentmods.dev/rules/lwybzss8924d/deepsearchagents/interfaces"><img src="https://agentmods.dev/badge/rules/lwybzss8924d/deepsearchagents/interfaces.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 | $0.00000 | $0.00321 |
| Opus 5 | $0.00000 | $0.00161 |
| Sonnet 5 | $0.00000 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
interfaces 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 4d 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.
What it actually says
DeepSearchAgent Interfaces
DeepSearchAgent provides multiple interfaces for different usage scenarios:
Command-Line Interface (CLI)
- cli.py: Command-line interface for interactive use
- Supports both interactive mode and single-query execution
- Allows overriding configuration parameters via command-line arguments
- Usage examples:
- Interactive mode:
python -m src.agents.cli - Single query:
python -m src.agents.cli --query "Search for something" - Override agent type:
python -m src.agents.cli --agent-type react
- Interactive mode:
FastAPI Service
- main.py: Web service based on FastAPI framework
- Exposes RESTful API endpoints for agent functionality
- Provides health checks and API documentation
- Main endpoints:
/run_react_agent: Runs the ReAct agent/run_deepsearch_agent: Runs the configured agent (ReAct or CodeAct)/: API information and health check
Deployment Methods
All interfaces can be run using:
- Direct Python execution (
python -m src.agents.cli) - Through the make commands in the Makefile (
make cli,make run,make mcp) - As a Docker container (build using provided Dockerfile)
- With environment variables for configuration (
DEEPSEARCH_AGENT_MODE=react python -m src.agents.main)
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.
- 4d ago First seen · 36 lines · 0 tokens per session scan A 34c8218dc570
interfaces is a cursor rule published in the GitHub repository lwyBZss8924d/DeepSearchAgents (135 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 321 tokens. 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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