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 Goldziher/ai-rulez --skill python-conventionsgit clone --depth 1 https://github.com/Goldziher/ai-rulezWrote 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/goldziher/ai-rulez/python-conventions)<a href="https://agentmods.dev/skills/goldziher/ai-rulez/python-conventions"><img src="https://agentmods.dev/badge/skills/goldziher/ai-rulez/python-conventions/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/goldziher/ai-rulez/python-conventions"><img src="https://agentmods.dev/badge/skills/goldziher/ai-rulez/python-conventions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00382 |
| Opus 5.5 | $0.00018 | $0.00153 |
| Sonnet 5.5 | $0.00009 | $0.00076 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
python-conventions 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
- Python 3.10+, type hints on all public APIs, avoid
Any— use precise types, generics, ortyping.Protocol. - Formatting/linting: a fast linter/formatter (e.g., Ruff), zero warnings; strict static type checking (e.g., mypy or pyright). Security: a SAST tool (e.g., Bandit).
- Testing:
pytestwith function-based tests,pytest-cov(80%+),hypothesisfor property-based. - Error handling: specific exceptions only, never bare
except:,contextlib.suppressfor intentional ignoring. - Dataclasses or Pydantic for structured data — avoid raw dicts for known schemas.
pathlib.Pathoveros.pathfor filesystem operations. Google-style docstrings on public APIs.- Async:
async/awaitfor I/O, never mix blocking and async,asyncio.gather()for concurrency. - Package management: a fast, lockfile-based package manager (e.g., uv) with the lockfile committed, build with a PEP 517 backend (e.g., maturin or hatchling).
- Security:
pip-auditfor dependency CVE scanning. Zero tolerance for critical/high vulnerabilities. - Logging: structured logging (key=value / JSON) — never f-strings in log calls.
- Pattern matching (
match/case) for multi-branch type dispatch (3.10+). - Anti-patterns: mutable default args,
import *, global state,time.sleepin async.
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 · 18 lines · 45 tokens per session scan A c5869959dbe9
python-conventions is a skill published in the GitHub repository Goldziher/ai-rulez (163 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 382 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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