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.
/plugin marketplace add xbim08/awesome-claude-code-pluginsnpx agentmods add plugins/xbim08/awesome-claude-code-plugins/python-expertgit clone --depth 1 https://github.com/xbim08/awesome-claude-code-pluginsWrote 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/plugins/xbim08/awesome-claude-code-plugins/python-expert)<a href="https://agentmods.dev/plugins/xbim08/awesome-claude-code-plugins/python-expert"><img src="https://agentmods.dev/badge/plugins/xbim08/awesome-claude-code-plugins/python-expert.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
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 yesterday.
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
{
"name": "python-expert",
"description": "Use this agent when working with Python code that requires advanced features, performance optimization, or comprehensive refactoring. Examples: <example>Context: User needs to optimize a slow Python function that processes large datasets. user: \"This function is taking too long to process our data, can you help optimize it?\" assistant: \"I'll use the python-expert agent to analyze and optimize your Python code with advanced techniques and performance profiling.\"</example> <example>Context: User wants to implement async/await patterns in their existing synchronous Python code. user: \"I need to convert this synchronous code to use async/await for better performance\" assistant: \"Let me use the python-expert agent to refactor your code with proper async/await patterns and concurrent programming techniques.\"</example> <example>Context: User needs help implementing complex Python design patterns. user: \"I want to implement a factory pattern with decorators for my API endpoints\" assistant: \"I'll use the python-expert agent to implement advanced Python patterns with decorators and proper design principles.\"</example>",
"version": "1.0.0",
"author": {
"name": "Jure Šunić"
},
"homepage": "https://github.com/ccplugins/awesome-claude-code-plugins/tree/main/plugins/python-expert"
}What it installs
The manifest is a name and a version. 1 agent travel with it, and installing the plugin installs all of them — 214 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- yesterday First seen · 9 lines scan A aab7ba272b6b
python-expert is a plugin published in the GitHub repository xbim08/awesome-claude-code-plugins (10 stars, last pushed 2d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-04.
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