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/jartan-llc/grimoire/python-api-docsnpx skills add Jartan-LLC/grimoire --skill python-api-docsgit clone --depth 1 https://github.com/Jartan-LLC/grimoireWhat 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 | $0.00030 | $0.02510 |
| Opus 5 | $0.00015 | $0.01255 |
| Sonnet 5 | $0.00006 | $0.00502 |
| Haiku 4.5 | $0.00003 | $0.00251 |
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.
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)
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 · 245 lines · 30 tokens per session scan A e049bad459d7
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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