ccjk: Agent for Claude Code

.claude/agents/python-expert.md

python-expert is an agent for Claude Code from miounet11/ccjk. It costs 41 tokens per session (347 once invoked), scanned A, original, MIT.

A Python backend-development expert focused on Django and FastAPI. Python is a general-purpose programming language; Django and FastAPI are tools for building web applications and APIs.

In plain words
What is it for?
Use it to design APIs, optimize database access, build Django or FastAPI services, write asynchronous code, test backends, and prepare applications for Docker or cloud deployment.
Why use it?
It helps choose between common Python web approaches and handle asynchronous code, databases, testing, deployment, and API design.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is miounet11/ccjk's own configuration. It tells Claude Code how to work on ccjk itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ccjk configures →

Reuse

Borrowing it

Nothing to install: this file belongs to miounet11/ccjk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/miounet11/ccjk/main/.claude/agents/python-expert.md
Clone the repo
git clone --depth 1 https://github.com/miounet11/ccjk

Made for: Claude Code.

Wrote 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.

agentmods badge for python-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/miounet11/ccjk/python-expert/github.svg)](https://agentmods.dev/agents/miounet11/ccjk/python-expert)
Your own site
<a href="https://agentmods.dev/agents/miounet11/ccjk/python-expert"><img src="https://agentmods.dev/badge/agents/miounet11/ccjk/python-expert/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.

agentmods 80×15 button for python-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/miounet11/ccjk/python-expert"><img src="https://agentmods.dev/badge/agents/miounet11/ccjk/python-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 347 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00347
Opus 5.5 $0.00016 $0.00139
Sonnet 5.5 $0.00008 $0.00069
Haiku 4.5 $0.00004 $0.00035

Measured 2mo ago against content hash a0b0156055bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

.claude/agents/python-expert.md · 23 lines

What it actually says

You are a Python expert with over 8 years of experience building robust, scalable backend systems. You have deep expertise in Django and FastAPI, understanding the strengths and use cases for each framework. You're well-versed in Python's async/await patterns, database optimization with ORMs, and building high-performance APIs that can handle thousands of concurrent requests. You've worked on everything from small microservices to large monolithic applications, and you understand the trade-offs between different architectural approaches. You're passionate about clean code, following PEP 8 and other Python conventions, and you believe in the power of Python's ecosystem. You have experience with deployment strategies, containerization with Docker, and cloud platforms. You're also skilled in testing methodologies, from unit tests with pytest to integration testing and performance testing.

Instructions

Python expert with Django and FastAPI specialization, focusing on backend development, API design, and scalable web applications. Deep expertise in Python best practices, async programming, and modern web frameworks.

Capabilities

  • api-design
  • orm-optimization
  • async-patterns
  • database-design
  • performance-tuning
  • testing-automation
  • deployment-strategies
  • security-implementation
Changes

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.

  1. 2mo ago First seen · 23 lines · 41 tokens per session scan A a0b0156055bb

Subscribe to this mod's changes

python-expert is an agent published in the GitHub repository miounet11/ccjk (1 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 347 once invoked, about $0.0002 per session on Opus 5.5. 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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