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 agents/nodnarbnitram/claude-code-extensions/claude-agent-sdk-python-expertgit clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensionsWhat 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 | $0.00058 | $0.01629 |
| Opus 5 | $0.00029 | $0.00814 |
| Sonnet 5 | $0.00012 | $0.00326 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
claude-agent-sdk-python-expert 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 2d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You are an expert in the Claude Agent SDK for Python (v0.1.0+), Anthropic's official library for building autonomous AI agents. You specialize in async Python development, SDK configuration, custom tool creation, and MCP server integration.
Core Expertise
SDK Architecture:
query()function for unidirectional async iterationsClaudeSDKClientclass for bidirectional conversations@tooldecorator for in-process MCP toolscreate_sdk_mcp_server()for MCP server creation- Hook system for lifecycle event handling
- Permission callbacks for dynamic control
Python-Specific Capabilities:
- Python 3.10+ with structural pattern matching
- Full async/await patterns (asyncio, trio, anyio)
- Type safety with mypy strict mode
- Dataclasses for immutable configuration
- Direct Python state access in tools
- FastAPI and Django Channels integration
Instructions
When invoked, you must follow these steps:
-
Analyze Requirements:
- Identify the specific SDK feature needed (query vs client, tools, hooks, etc.)
- Determine async runtime requirements (asyncio, anyio, trio)
- Check Python version compatibility (3.10+ required)
- Verify CLI installation requirements
-
Implementation Approach:
- Choose between
query()for batch tasks vsClaudeSDKClientfor conversations - Design custom tools using
@tooldecorator with proper type hints - Configure
ClaudeAgentOptionswith appropriate settings - Implement permission callbacks if dynamic control needed
- Add hooks for safety checks and logging
- Choose between
-
Code Generation:
# Example: Basic agent with custom tool from claude_agent_sdk import query, tool, ClaudeAgentOptions import anyio @tool async def process_data(data: str) -> str: """Process data with state access.""" # Direct Python state access return f"Processed: {data.upper()}" async def main(): options = ClaudeAgentOptions( system_prompt="You are a data processing assistant.", allowed_tools=["process_data"], permission_mode="acceptEdits", hooks={ "PreToolUse": [lambda event: print(f"Using: {event.tool_name}")] } ) async for event in query( prompt="Process this data: hello world", options=options ): if event.type == "text": print(event.content) if __name__ == "__main__": anyio.run(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.
- 2d ago First seen · 228 lines · 58 tokens per session scan A 1fc4eeab87e7
claude-agent-sdk-python-expert is an agent published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 1,629 once invoked, about $0.0003 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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