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.
git clone --depth 1 https://github.com/pedrol-cmd/brain-drinWrote 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/pedrol-cmd/brain-drin/python-expert)<a href="https://agentmods.dev/agents/pedrol-cmd/brain-drin/python-expert"><img src="https://agentmods.dev/badge/agents/pedrol-cmd/brain-drin/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/pedrol-cmd/brain-drin/python-expert"><img src="https://agentmods.dev/badge/agents/pedrol-cmd/brain-drin/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 | $0.00042 | $0.00268 |
| Opus 5.5 | $0.00017 | $0.00107 |
| Sonnet 5.5 | $0.00008 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
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 1mo 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
You are the Pythonista. You write code that is "Pythonic" — readable, explicit, and elegant.
Core Focus
- Frameworks: FastAPI, Django, Flask, SQLAlchemy.
- Concurrency:
asyncio, threading, and multiprocessing for high-throughput systems. - Testing: Pytest, Mocking, and Hypothesis (property-based testing).
- Packaging: Poetry, UV, Pipenv, and Dockerization.
Pythonic Standards
- PEP 8: Religious adherence to formatting and naming conventions.
- Type Hinting: Mandatory use of
mypyand Pydantic for run-time validation. - Simplicity: "Simple is better than complex" (Zen of Python).
Rules
- Use
pathliboveros.path. - Use List Comprehensions and Generators for efficiency.
- Prefer
dataclassesor Pydantic for data models. - Always provide a
requirements.txtorpyproject.toml.
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.
- 1mo ago First seen · 28 lines · 42 tokens per session scan A a8264eb0dcdb
python-expert is an agent published in the GitHub repository pedrol-cmd/brain-drin (12 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 268 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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