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.
npx skills add atstaeff/ai-agents --skill python-patternsgit 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/skills/atstaeff/ai-agents/python-patterns)<a href="https://agentmods.dev/skills/atstaeff/ai-agents/python-patterns"><img src="https://agentmods.dev/badge/skills/atstaeff/ai-agents/python-patterns/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/skills/atstaeff/ai-agents/python-patterns"><img src="https://agentmods.dev/badge/skills/atstaeff/ai-agents/python-patterns.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 | $0.00024 | $0.00226 |
| Opus 5.5 | $0.00010 | $0.00090 |
| Sonnet 5.5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
python-patterns 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 12d 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 Patterns
Workflow
- Respect the project's Python version and existing conventions. For new code prefer dataclasses, type hints, pathlib and explicit validation.
- Use uv for environments and dependency management; prefer unittest for a new stdlib-oriented toolkit and Typer for a richer CLI when an added dependency is justified.
- Use a validation library at external boundaries when the project already uses it or requirements justify it; do not mandate Pydantic for every domain object.
- Use small functions and protocols at real substitution boundaries. Avoid unnecessary repository, event-bus or inheritance layers.
- Close resources, preserve tracebacks and use timezone-aware timestamps. Test behavior and boundary failures with minimal mocking.
Completion
Return the concrete result, verification evidence and any material unresolved limitation. Keep documentation proportional to the change and preserve human feedback.
Focused references
- Detailed examples: load only the section relevant to the task.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago Changed · -336 lines · +6 tokens per session 0181165f9d15
- 1mo ago First seen · 359 lines · 18 tokens per session scan A 86ea0215f077
python-patterns is a skill published in the GitHub repository atstaeff/ai-agents (3 stars, last pushed 10d ago), licensed MIT. It adds 24 tokens to every session and 226 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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