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 Cypsy1714/cchad --skill python-skillgit clone --depth 1 https://github.com/Cypsy1714/cchadWrote 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/cypsy1714/cchad/python-skill)<a href="https://agentmods.dev/skills/cypsy1714/cchad/python-skill"><img src="https://agentmods.dev/badge/skills/cypsy1714/cchad/python-skill/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/cypsy1714/cchad/python-skill"><img src="https://agentmods.dev/badge/skills/cypsy1714/cchad/python-skill.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 | $0.00017 | $0.00242 |
| Opus 5.5 | $0.00007 | $0.00097 |
| Sonnet 5.5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
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 conventions
Style
- Follow PEP 8; let a formatter (ruff/black) settle layout so you don't argue about it.
- Add type hints to function signatures. Prefer
X | NoneoverOptional[X]on 3.10+. - Use f-strings for formatting.
Data & structure
- Reach for
dataclasses(or Pydantic at boundaries) instead of ad-hoc dicts for structured data. - Use comprehensions for simple transforms; a plain loop when logic gets involved.
- Use
pathlib.Pathfor filesystem paths, not string concatenation. - Manage resources with
with(context managers), not manual open/close.
Robustness
- Catch specific exceptions, not bare
except:. Add context and re-raise withfrom. - Prefer standard library before adding a dependency.
- Keep functions small and single-purpose; return early instead of nesting.
Environment
- Use a virtual environment (uv/venv). Pin dependencies in
pyproject.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 · 27 lines · 17 tokens per session scan A 344bbb5a8ddf
python-conventions is a skill published in the GitHub repository Cypsy1714/cchad (1 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 242 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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