What is python-setup?

A setup workflow that examines a Python project and configures checks across nine areas of software quality, including hooks, continuous integration, and tool settings. Continuous integration means automated checks that run when code changes are submitted.

Setting up linting, formatting, tests, type checking, security checks, unused-code checks, version checks, hooks, and CI for a Python project.

It helps create a consistent quality setup while preserving the project's existing files, tools, CI jobs, and package manager.

python-setup — Skill by ondrasek

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/ondrasek/cc-plugins/python-setup

Any agent

npx skills add ondrasek/cc-plugins --skill python-setup

Clone the repo

git clone --depth 1 https://github.com/ondrasek/cc-plugins

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 735 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.

Model	Per session	Once invoked
Fable 5	$0.00062	$0.00735
Opus 5	$0.00031	$0.00367
Sonnet 5	$0.00012	$0.00147
Haiku 4.5	$0.00006	$0.00073

Measured yesterday against content hash 8b25980bed95, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-setup 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 yesterday.

The scan reads SKILL.md. This mod also ships 6 executable files (templates/auto-commit.sh, templates/per-edit-fix.sh, templates/quality-gate.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/blueprint/skills/python-setup/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Setup

Critical Rules

Always present analysis and plan to the user before making changes
Merge, don't replace — preserve existing pyproject.toml sections, CI jobs, hooks
Use the package manager detected in analysis (don't assume uv)
All hook scripts must be executable (chmod +x)

Context Files

Read these files before starting:

skills/shared/references/methodology-framework.md — shared principles, hook architecture, exit codes, settings.json format
skills/shared/references/setup-workflow.md — the 6-phase workflow structure
skills/python-setup/references/methodology.md — Python-specific 9 dimensions, thresholds, tool research guidance
skills/python-setup/references/analysis-checklist.md — what to check in the target codebase
skills/python-setup/templates/ — annotated examples showing structural patterns. Use templates for patterns but substitute the tools chosen during research.

Workflow

Follow the 6-phase workflow from setup-workflow.md.

Phase 1: Analyze

Follow analysis-checklist.md systematically: package manager, Python version, project structure, frameworks, existing tools, CI, maturity.

Phase 2: Plan

Research tools for each of the 9 dimensions. Python-specific files to plan:

pyproject.toml — [tool.*] sections for each tool
.claude/hooks/ — quality-gate.sh, per-edit-fix.sh, session-start.sh, optionally auto-commit.sh
.claude/settings.json — hook registrations (see methodology-framework.md for format)
.github/workflows/ci.yml — CI pipeline
.pre-commit-config.yaml — pre-commit hooks
Makefile — development commands
CLAUDE.md — project instructions
pyrightconfig.json — type checker config (only if pyright chosen)
semver-check.sh — only when Dimension 9 is activated at level 3

Present complete plan and wait for approval. Ask about optional items (auto-commit, style-guide check).

Phase 3: Configure

Read each template in templates/ for the structural pattern, substitute the researched tools. Install dev dependencies and pre-commit hooks.

Read the full file on GitHub · 72 lines

Files

What ships with it

16 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.

yesterday First seen · 72 lines · 62 tokens per session scan A 8b25980bed95

Subscribe to this mod's changes

python-setup is a skill published in the GitHub repository ondrasek/cc-plugins (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 735 once invoked, about $0.0003 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 2026-08-31.

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