maintain-python-template

A maintenance workflow for a Python project template whose choices and generated files are driven by a catalog. It keeps configuration options, templates, dependencies, tests, and documentation aligned.

In plain words
What is it for?
Use it when adding or repairing frameworks, providers, databases, interfaces, machine-learning tools, deployment targets, presets, or compatibility rules.
Why use it?
It helps prevent adding a selectable component that renders files but cannot actually run, or leaving generated references and compatibility rules out of sync.

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/leynier/python-template/maintain-python-template
Any agent
npx skills add leynier/python-template --skill maintain-python-template
Clone the repo
git clone --depth 1 https://github.com/leynier/python-template

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 381 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 $0.00057 $0.00381
Opus 5 $0.00028 $0.00191
Sonnet 5 $0.00011 $0.00076
Haiku 4.5 $0.00006 $0.00038

Measured 2d ago against content hash 907f55ba65d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

maintain-python-template 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.

skills/maintain-python-template/SKILL.md · 27 lines

What it actually says

Maintain Python Template

Make catalog-driven changes without creating a choice that renders but cannot run.

Change Workflow

  1. Inspect catalog/components.yml, catalog/presets.yml, copier.yml, the relevant files under template/, and existing tests before editing.
  2. Define the component metadata and compatibility constraints in the catalog first. Keep each choice in exactly one architectural role unless it genuinely serves several roles.
  3. Wire Copier defaults and choices to the catalog. Preserve the three simple presets and reject incompatible combinations with an actionable validator message.
  4. Add functional source, dependency, configuration, test, README, and environment-variable templates for the component. Avoid placeholder-only integrations.
  5. Run uv run python scripts/compile_catalog.py --check. If generated files are stale, run the command without --check, review all generated changes, then check again.
  6. Add focused repository tests and generate at least one representative project. Validate its imports or endpoints, not only file presence.
  7. Run the gates in validate-python-stack before proposing delivery.

Invariants

  • catalog/generated/catalog.json, catalog/generated/choices.yml, and docs/reference/*.md are compiler outputs; edit their sources instead.
  • Generated projects use a src layout, uv, Ruff, pytest, typing, and reproducible dependency bounds.
  • Optional layers must disappear cleanly when disabled.
  • Conditional template path components must remain short enough to render on Windows.
  • A deploy target keeps Docker portability; cloud IaC is limited to supported target/provider pairs.
Files

What ships with it

1 file 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. 2d ago First seen · 27 lines · 57 tokens per session scan A 907f55ba65d8

Subscribe to this mod's changes

maintain-python-template is a skill published in the GitHub repository leynier/python-template (37 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 381 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 2026-08-30.

Related

Other skills, from other repositories

heaven-style

Standalone personal code-quality, architecture, documentation, graphical-interface, and project-management guide for TypeScript and Python repositories. Use when writing or reviewing code or docs, designing architecture or UI, refactoring, or aligning tests; apply repository policy first, then shared design philosophy…

Magolor/Blueprint · 63 tokens

datamodel-code-generator

Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects.…

koxudaxi/datamodel-code-generator · 147 tokens

background-task

Add or modify work that runs outside the request/response cycle — emails, document ingestion, webhooks, cleanups, scheduled jobs. Use when something is slow or fire-and-forget, or when adding a periodic/cron task. This project's queue is {{ cookiecutter.backgroundtasks }}.

vstorm-co/full-stack-ai-agent-template · 62 tokens

frontend-feature

Build a new page, view, or data-driven feature in the Next.js frontend. Use when adding a route under the dashboard/marketing area, wiring UI to a backend endpoint, adding client state, or creating a localized page. Covers App Router, data fetching, Zustand stores, and i18n.

vstorm-co/full-stack-ai-agent-template · 64 tokens

rag-knowledge

Work with the RAG knowledge base — ingest documents, run semantic search, manage collections, or add a sync source/connector (Google Drive, S3). Use when populating or debugging the knowledge base, tuning retrieval, or adding a new document source. This project uses {{ cookiecutter.vectorstore }} + {{…

vstorm-co/full-stack-ai-agent-template · 76 tokens

alembic-migration

Create, review, and apply database schema changes with Alembic. Use whenever a SQLAlchemy model is added or changed, a column/index/constraint needs to change, or a data backfill is required — anything that alters the PostgreSQL schema.

vstorm-co/full-stack-ai-agent-template · 56 tokens