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 agentmods add skills/cas-team-analyst/team-analyst/pythonnpx skills add cas-team-analyst/team-analyst --skill pythongit clone --depth 1 https://github.com/cas-team-analyst/team-analystWhat 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 | $0.00017 | $0.00478 |
| Opus 5 | $0.00009 | $0.00239 |
| Sonnet 5 | $0.00003 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
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.
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__.pyunless 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.txtto check for vulnerabilities (do not install packages with known high vulnerabilities); 3. Run.venv/Scripts/Activate.ps1; pip install -r requirements.txtto 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
pytesttests 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\".
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.
- 2d ago First seen · 47 lines · 17 tokens per session scan A 7a0192024ec4
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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
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…
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…
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…