python-api-docs

A toolchain for turning Python docstrings into a browsable API reference. It uses Sphinx and related extensions to generate documentation from the code, including examples that can be tested during the build.

In plain words
What is it for?
Building Python API documentation, rendering type hints and Google-style docstrings, and checking documentation examples in continuous integration.
Why use it?
It keeps the published reference tied to the source docstrings, reducing copied information that can become outdated. Strict builds can expose documentation warnings and broken examples.

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/jartan-llc/grimoire/python-api-docs
Any agent
npx skills add Jartan-LLC/grimoire --skill python-api-docs
Clone the repo
git clone --depth 1 https://github.com/Jartan-LLC/grimoire

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,510 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 $0.00030 $0.02510
Opus 5 $0.00015 $0.01255
Sonnet 5 $0.00006 $0.00502
Haiku 4.5 $0.00003 $0.00251

Measured yesterday against content hash e049bad459d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-api-docs 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.

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/pythonica/skills/python-api-docs/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python API Documentation

pythonica:python-code-style teaches you to write google-style docstrings; this skill renders them into a published API reference. The toolchain is Sphinx + autodoc + napoleon + MyST, gated strictly in CI so the reference can't silently rot. For the general documentation rules (tone, brevity, structure) this toolchain serves, see praxis:docs-patterns.

Core Concepts

1. Docstrings are the single source

Autodoc imports your package and extracts docstrings at build time. The reference is generated, never hand-copied -- so it can't drift from the code.

2. Annotations render themselves -- don't duplicate types

With type hints present, autodoc renders them into the signature (autodoc_typehints defaults to "signature"). Restating (str) in an Args line duplicates the annotation and drifts when the type changes. Keep Args descriptions prose-only.

3. Examples that run can't rot

The >>> Example blocks python-code-style recommends are executable. Run them under sphinx.ext.doctest and a broken example fails the build instead of misleading a reader.

4. A strict build is a CI gate

sphinx-build -W turns every warning (a missing module, an unresolved :func:, a bad cross-reference) into an error. Wire it into CI and the docs stay correct on every PR.

Quick Start

Declare the toolchain as an optional-dependency extra, then build:

# pyproject.toml
[project.optional-dependencies]
docs = [
    "sphinx>=9,<10",     # site generator (reads google docstrings via napoleon)
    "myst-parser>=5,<6", # author pages in Markdown, not reStructuredText
    "furo>=2025.12",     # theme (CalVer -- date floor, no semver major to cap)
]
pip install -e '.[docs]'
sphinx-build -W -b html    docs docs/_build/html      # strict HTML build
sphinx-build -W -b doctest docs docs/_build/doctest    # run every >>> example

Fundamental Patterns

Pattern 1: Wire Sphinx + MyST + napoleon (conf.py)

Read the full file on GitHub · 245 lines

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. yesterday First seen · 245 lines · 30 tokens per session scan A e049bad459d7

Subscribe to this mod's changes

python-api-docs is a skill published in the GitHub repository Jartan-LLC/grimoire (2 stars, last pushed 14d ago), licensed MIT. It adds 30 tokens to every session and 2,510 once invoked, about $0.0002 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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