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 wyattowalsh/agents --skill python-conventionsgit clone --depth 1 https://github.com/wyattowalsh/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/wyattowalsh/agents/python-conventions)<a href="https://agentmods.dev/skills/wyattowalsh/agents/python-conventions"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/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/wyattowalsh/agents/python-conventions"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/python-conventions.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 | $0.00054 | $0.01813 |
| Opus 5.5 | $0.00022 | $0.00725 |
| Sonnet 5.5 | $0.00011 | $0.00363 |
| Haiku 4.5 | $0.00005 | $0.00181 |
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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Conventions
Apply these conventions when Python work is the primary workstream.
Dispatch
| $ARGUMENTS | Action |
|---|---|
| Active (auto-invoked when Python work is primary) | Apply the operator contract below |
| Empty | Display the convention summary and routing guidance |
check |
Verify tooling compliance only |
Reference File Index
| File | Purpose |
|---|---|
references/tooling-contract.md |
Required command sequence for install, run, lint, type-check, and test flows |
references/redirection-boundaries.md |
When Python conventions should yield to shell, JS/TS, or domain-specific skills |
references/exceptions.md |
When to break conventions (legacy, corporate) |
references/library-preferences.md |
Guided library defaults for new Python work |
references/performance-tips.md |
Profiling tools, optimization patterns quick-reference |
references/testing-patterns.md |
Fixture scopes, markers, conftest skeleton |
Operator Contract
Active
- Apply this skill only when Python files, Python tooling, or
pyproject.tomlare the primary surface of the task. - Read
references/redirection-boundaries.mdwhen Python appears alongside shell, JS/TS, or other dominant workstreams. - Enforce the hard requirements in
references/tooling-contract.mdfor package management, command execution, linting, type checking, and tests. - Check
references/exceptions.mdbefore recommending any legacy or constrained-environment deviation. - Read
references/library-preferences.mdonly when choosing libraries for new Python work.
Empty / Help
- Summarize the hard requirements:
uv,uv run,uv add,ty,ruff,pytest, andpyproject.toml. - Show the difference between hard requirements and guided preferences.
- Point to the exact reference files for tooling, exceptions, libraries, testing, performance, and mixed-language routing.
check
- Verify tooling compliance only; do not widen into full implementation advice unless the user asks.
- Report whether the project uses
uv,uv run,ty,ruff,pytest, andpyproject.tomlin the expected ways. - Flag legacy or exception-path deviations and require the reason to match
references/exceptions.md. - Reject recommendations that replace repo-required tooling with
mypy,pip install, or barepython.
What ships with it
15 files 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.
- evals/evals.json 9.4 KB
- references/exceptions.md 2.3 KB
- references/library-preferences.md 2.0 KB
- references/performance-tips.md 2.2 KB
- references/redirection-boundaries.md 1.7 KB
- references/testing-patterns.md 3.2 KB
- references/tooling-contract.md 3.6 KB
- scripts/asset_toolkit/__init__.py 303 B runs code
- scripts/asset_toolkit/_shared.py 5.6 KB runs code
- scripts/asset_toolkit/common.py 3.0 KB runs code
- scripts/asset_toolkit/package.py 43 KB runs code
- scripts/asset_toolkit/validate_evals.py 11 KB runs code
- scripts/asset_toolkit/validate_hooks.py 13 KB runs code
- scripts/asset_toolkit/validate_skill.py 3.6 KB runs code
- scripts/check.py 1.5 KB runs code
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 · 158 lines · 54 tokens per session scan A a0cca9a47c51
python-conventions is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,813 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 2026-09-03.
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