python

A set of project-specific rules for writing and running Python code, including file handling, Excel work, package installation, and code organization.

In plain words
What is it for?
Use it whenever you write Python in this project, especially when manipulating Excel files, managing the virtual environment, or adding and testing dependencies.
Why use it?
It gives Python work in the project consistent conventions and makes failures visible instead of hiding them with fallback behavior. It also records how dependencies should be checked and installed.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/cas-team-analyst/team-analyst/python
Any agent
npx skills add cas-team-analyst/team-analyst --skill python
Clone the repo
git clone --depth 1 https://github.com/cas-team-analyst/team-analyst

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 478 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.00478
Opus 5 $0.00009 $0.00239
Sonnet 5 $0.00003 $0.00096
Haiku 4.5 $0.00002 $0.00048

Measured 2d ago against content hash 7a0192024ec4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python 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 2d 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.

.agents/skills/python/SKILL.md · 47 lines

What it actually says

Writing Python

Guide for Python development in this project.

Quick Reference

Guidelines:

  • Read files as all strings and convert later if you need to.
  • Use openpyxl to manipulate Excel files.
  • Use code from skills whenever possible.

Code organization:

  • Imports at top
  • Main logic first, helpers towards bottom (read main logic first)
  • Include usage note at top showing how to run from project root and how to run related tests if applicable

Critical rules:

  • NEVER use try/catch, fallbacks, or defaults - Create visible failures with full stack traces
  • Never include checkmarks or other unicode symbols - only use standard ASCII text and operators.
  • No empty __init__.py unless necessary

Package Installation:

  • Always use PowerShell commands instead of VS Code extensions or MCP.
  • Always use .venv.
  • Use these steps: 1. Add it to requirements.txt; 2. Run .venv/Scripts/Activate.ps1; pip-audit -r requirements.txt to check for vulnerabilities (do not install packages with known high vulnerabilities); 3. Run .venv/Scripts/Activate.ps1; pip install -r requirements.txt to do the install.

Running Python:

  • Always activate .venv first and run from the project root: .venv/Scripts/Activate.ps1; path-to-file/python script.py
  • Create temporary test scripts instead of complex PowerShell commands (to avoid syntax errors which are very difficult to avoid), delete after use.

Testing:

  • If file has test reference at top and you change it, run tests
  • Always address warnings
  • Add pytest tests as appropriate.

Running Python

  • If you are going to run python code, create a script to avoid syntax errors.
  • Remove any test or debug scripts when you are done with them, unless you were specifically asked to create the test.
  • Make sure to activate the virtual environment at .venv before running python scripts; .venv\Scripts\Activate.ps1 ; python my_script.py
  • To escape ", use "", not \".
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. 2d ago First seen · 47 lines · 17 tokens per session scan A 7a0192024ec4

Subscribe to this mod's changes

python is a skill published in the GitHub repository cas-team-analyst/team-analyst (10 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 478 once invoked, about $0.0001 per session on Opus 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens