python-best-practices

python-best-practices is a skill for Claude Code, Codex from cisco-open/ai-harness-toolkit. It costs 52 tokens per session (549 once invoked), scanned A, original, Apache-2.0.

Python code-review guidance for finding problems that linters and type checkers may miss.

In plain words
What is it for?
Use it when writing or reviewing Python code, especially API handlers, asynchronous services, tests, and performance-sensitive code.
Why use it?
It helps spot maintainability issues, slow code, weak tests, and unsafe failure handling before they cause trouble.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when writing or reviewing Python code, especially API handlers, asynchronous services, tests, and performance-sensitive code.

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Install with agentmods
npx agentmods add skills/cisco-open/ai-harness-toolkit/python-best-practices
Install

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.

Any agent
npx skills add cisco-open/ai-harness-toolkit --skill python-best-practices
Clone the repo
git clone --depth 1 https://github.com/cisco-open/ai-harness-toolkit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for python-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/cisco-open/ai-harness-toolkit/python-best-practices/github.svg)](https://agentmods.dev/skills/cisco-open/ai-harness-toolkit/python-best-practices)
Your own site
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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.

agentmods 80×15 button for python-best-practices

Your own site · 80×15
<a href="https://agentmods.dev/skills/cisco-open/ai-harness-toolkit/python-best-practices"><img src="https://agentmods.dev/badge/skills/cisco-open/ai-harness-toolkit/python-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 549 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00549
Opus 5.5 $0.00021 $0.00220
Sonnet 5.5 $0.00010 $0.00110
Haiku 4.5 $0.00005 $0.00055

Measured 1mo ago against content hash b802dd3cef8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-best-practices 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.

skills/python-best-practices/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Best Practices

Use this skill when reviewing or writing Python code that needs human-style engineering judgment: code smells, hot-path performance issues, test quality, and robust failure handling.

How To Use This Skill

Start by identifying the kind of Python work in front of you, then read only the matching reference files.

  • Read references/anti-patterns.md when reviewing general code quality, maintainability, architecture smells, configuration handling, resource usage, or type-safety issues.
  • Read references/performance.md when the code is latency-sensitive, CPU-heavy, memory-heavy, uses async execution, or appears to sit on a hot path.
  • Read references/testing.md when reviewing test code, coverage quality, fixtures, mocking strategy, parameterization, or the structure of a pytest suite.
  • Read references/error-handling.md when reviewing validation, exceptions, failure modes, batch processing, recovery behavior, or API/service robustness.

Load more than one reference when the change crosses concerns. Examples:

  • API handlers often need both references/error-handling.md and references/testing.md.
  • Async services often need both references/performance.md and references/anti-patterns.md.
  • Refactors of business logic and persistence boundaries often need both references/anti-patterns.md and references/error-handling.md.

Review Focus

Use the references to look for issues that mechanical tools often miss:

  • brittle boundaries between I/O and business logic
  • retries, timeouts, and configuration scattered through the code
  • blocking work inside async flows
  • tests that only cover happy paths or overuse mocks
  • exceptions that lose context or hide partial failures

Do not inline the full guidance from the references into your response unless the user asks for it. Read the relevant file, apply it to the code at hand, and return concrete findings or edits.

Reference Map

  • references/anti-patterns.md
  • references/performance.md
  • references/testing.md
  • references/error-handling.md

Read the full file on GitHub · 50 lines

Files

What ships with it

4 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.

Changes

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.

  1. 1mo ago First seen · 50 lines · 52 tokens per session scan A b802dd3cef8b

Subscribe to this mod's changes

python-best-practices is a skill published in the GitHub repository cisco-open/ai-harness-toolkit (15 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 549 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 2026-08-31.