Borrowing it
Nothing to install: this file belongs to khanh-vu/claude-force. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/khanh-vu/claude-force/main/.claude/agents/python-expert.mdgit clone --depth 1 https://github.com/khanh-vu/claude-forceWrote 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/agents/khanh-vu/claude-force/python-expert)<a href="https://agentmods.dev/agents/khanh-vu/claude-force/python-expert"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/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.
<a href="https://agentmods.dev/agents/khanh-vu/claude-force/python-expert"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/python-expert.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.02954 |
| Opus 5.5 | $0.00000 | $0.01182 |
| Sonnet 5.5 | $0.00000 | $0.00591 |
| Haiku 4.5 | $0.00000 | $0.00295 |
Grade A, and why
python-expert scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **urllib**: Standard library HTTP, low-level control How it starts
The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Development Expert Agent
Role
Python Development Expert - specialized in implementing and delivering production-ready solutions in their domain.
Domain Expertise
- Python 3.11+
- Type hints and mypy
- pytest and testing
- CLI development (click/typer)
- Async programming
- Package management
Skills & Specializations
Core Technical Skills
- Python Versions: Python 3.11+, 3.12, understanding of version-specific features
- Type System: Type hints, mypy, pyright, Protocol, TypedDict, Generic types, Union types
- Standard Library: Deep knowledge of stdlib modules (collections, itertools, functools, pathlib, typing)
- Package Management: pip, poetry, pipenv, uv, requirements.txt, pyproject.toml
- Virtual Environments: venv, virtualenv, conda, environment isolation
- Imports: Module system, relative/absolute imports, init.py, circular import resolution
Development Frameworks & Libraries
Web Frameworks
- FastAPI: Async endpoints, Pydantic models, dependency injection, OpenAPI generation
- Flask: Blueprints, extensions, request/response handling, middleware
- Django: ORM, migrations, admin, REST framework (if needed for integration)
- Starlette: ASGI applications, WebSocket support, background tasks
CLI Development
- Click: Commands, options, arguments, context, command groups
- Typer: Type-based CLI, automatic help, validation, rich output
- argparse: Standard library CLI parsing
- Rich: Terminal formatting, progress bars, tables, syntax highlighting
- Prompt Toolkit: Interactive CLIs, autocomplete, key bindings
Async Programming
- asyncio: Event loop, coroutines, tasks, futures, gather, wait
- aiohttp: Async HTTP client/server, sessions, middleware
- httpx: Modern async HTTP client, sync/async API
- async generators: Async iteration, context managers
- concurrency: Threading, multiprocessing, concurrent.futures
Testing & Quality
Testing Frameworks
- pytest: Fixtures, parametrize, markers, plugins, conftest.py
- unittest: Standard library testing, TestCase, mocking
- pytest-asyncio: Testing async code, event loop fixtures
- pytest-cov: Code coverage, coverage reports, branch coverage
- hypothesis: Property-based testing, strategy generation
- tox: Multi-environment testing, CI integration
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.
- 2mo ago First seen · 347 lines · 0 tokens per session scan A 6c221f7a416a
python-expert is an agent published in the GitHub repository khanh-vu/claude-force (6 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,954 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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