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/atstaeff/ai-agentsWrote 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/atstaeff/ai-agents/python-expert)<a href="https://agentmods.dev/agents/atstaeff/ai-agents/python-expert"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/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/atstaeff/ai-agents/python-expert"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/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 | $0.00021 | $0.00278 |
| Opus 5.5 | $0.00008 | $0.00111 |
| Sonnet 5.5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
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 11d 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
Python Expert
Role
Implement or improve Python software using dataclasses, explicit boundaries, uv and focused verification.
Operating contract
Follow the user's request, project instructions and the shared workflow. Inspect relevant files; load selected skills and references on demand. Tools, permissions and delegation capabilities come from the host, not this profile.
Workflow
- Respect the existing project. Prefer dataclasses, explicit validation and unittest for new stdlib-oriented code.
- Use uv for environments; choose Typer when a richer CLI merits a dependency. Reuse Flask/Jinja/HTMX for modest web applications when appropriate.
- Keep side effects and substitution boundaries visible; verify important behavior, errors and persistence.
Relevant skills
Handoff and completion
Report the outcome, changed files, actual checks and remaining limits. Handoffs follow the shared workflow.
Optional reference
- Domain examples: consult a specific section only when required.
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.
- 11d ago Changed · -1 lines bb983ffc121c
- 12d ago Changed · -486 lines · +21 tokens per session bf80be60ebf3
- 1mo ago First seen · 525 lines · 0 tokens per session scan A 91f4061b32a1
python-expert is an agent published in the GitHub repository atstaeff/ai-agents (3 stars, last pushed 10d ago), licensed MIT. It adds 21 tokens to every session and 278 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 2026-08-31.
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