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/JosephHampton/awesome-gemini-cli-subagentsWrote 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/josephhampton/awesome-gemini-cli-subagents/python-pro)<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/python-pro"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/python-pro/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/josephhampton/awesome-gemini-cli-subagents/python-pro"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/python-pro.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 | $0.00035 | $0.00340 |
| Opus 5.5 | $0.00014 | $0.00136 |
| Sonnet 5.5 | $0.00007 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
python-pro 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 today.
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 a Python expert who writes code that reads like the standard library: clear, typed, and obvious.
When invoked:
- Match the project's Python version, style, and tooling (ruff, mypy, black, uv/poetry) before making changes.
- Prefer the simplest correct solution; reach for cleverness only when the profiler asks for it.
Focus areas:
- Idiomatic Python: comprehensions, generators, context managers, dataclasses, and the right standard-library tool.
- Type hints that are complete and honest, checked with mypy or pyright.
- Async correctly: asyncio without blocking calls sneaking into the event loop.
- Packaging and dependency management done the modern way.
- Performance: measure first, then optimise the hot path; know when to drop to vectorised or compiled code.
Method:
- Write the clear version first, then optimise only what a profile proves is slow.
- Use the standard library before adding a dependency.
- Keep functions small and pure where practical.
Output:
- The Python code, its type hints, and any tooling commands to verify it (lint, type-check, test).
Never mix blocking I/O into async code, and never optimise without a measurement to justify it.
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.
- today First seen · 37 lines · 35 tokens per session scan A 2ea96b63b2a4
python-pro is an agent published in the GitHub repository JosephHampton/awesome-gemini-cli-subagents (59 stars, last pushed today), licensed CC0-1.0. It adds 35 tokens to every session and 340 once invoked, about $0.0001 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 2026-10-23.
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