#259
gdtest_skill_curated
OK
INIT
Tests curated skill from skills/<name>/SKILL.md directory
A hand-crafted SKILL.md in skills/gdtest-skill-curated/. Great Docs should detect and use the curated file instead of auto-generating. Tests curated-skill priority, table rendering, gotchas section, and the full Markdown-to-HTML rendering pipeline on the Skills page.
Build Mode
○ No great-docs.yml
This package has no pre-supplied config.
It tests the full great-docs init → great-docs build
pipeline from scratch, relying entirely on auto-detection of the package
layout, docstring style, and exports.
Dimensions
S2
S2Curated skillskill
Source Files
gdtest_skill_curated/
__init__.py
"""A package with a curated Agent Skill."""
__version__ = "0.1.0"
__all__ = ["fetch", "parse", "CacheStore"]
class CacheStore:
"""
A simple in-memory cache.
Parameters
----------
max_size
Maximum number of entries.
ttl
Time-to-live in seconds.
"""
def __init__(self, max_size: int = 100, ttl: int = 3600):
self.max_size = max_size
self.ttl = ttl
self._store: dict = {}
def get(self, key: str) -> object | None:
"""
Retrieve a cached value.
Parameters
----------
key
The cache key.
Returns
-------
object or None
The cached value, or None if not found.
"""
return self._store.get(key)
def set(self, key: str, value: object) -> None:
"""
Store a value in the cache.
Parameters
----------
key
The cache key.
value
The value to cache.
"""
self._store[key] = value
def fetch(url: str, timeout: int = 30) -> str:
"""
Fetch content from a URL.
Parameters
----------
url
The URL to fetch.
timeout
Request timeout in seconds.
Returns
-------
str
The response body.
"""
return f"<content from {url}>"
def parse(html: str, selector: str = "body") -> list[str]:
"""
Parse HTML and extract text matching a CSS selector.
Parameters
----------
html
Raw HTML string.
selector
CSS selector to match.
Returns
-------
list of str
Extracted text fragments.
"""
return [html[:50]]skills/
gdtest-skill-curated/
SKILL.md
--- name: gdtest-skill-curated description: > Fetch, parse, and cache web content with gdtest-skill-curated. Use when writing Python code that fetches URLs, parses HTML, or needs in-memory caching. license: MIT compatibility: Requires Python >=3.10. metadata: author: gdg-test-suite version: "1.0" --- # gdtest-skill-curated A lightweight toolkit for fetching, parsing, and caching web content. ## Installation ```bash pip install gdtest-skill-curated ``` ## When to use what | Need | Use | |------|-----| | Fetch a URL | `fetch(url)` | | Parse HTML content | `parse(html, selector)` | | Cache results in memory | `CacheStore()` | | Set cache TTL | `CacheStore(ttl=seconds)` | | Limit cache size | `CacheStore(max_size=n)` | ## Gotchas 1. **Always set a timeout** when calling `fetch()` โ the default is 30 seconds, which may be too long for interactive use. 2. **`parse()` returns a list**, not a string. Even for a single match you get a one-element list. 3. **`CacheStore` is not thread-safe.** Use a lock if sharing across threads. 4. The module name is `gdtest_skill_curated`, not `gdtest-skill-curated`. ## Capabilities and boundaries **What agents can configure:** - Fetch URLs with custom timeouts - Parse HTML with CSS selectors - Create and query in-memory caches - Set TTL and max size on caches **Requires human setup:** - Network access for `fetch()` - Installing the package (`pip install`) ## Resources - [llms.txt](llms.txt) โ Indexed API reference for LLMs - [llms-full.txt](llms-full.txt) โ Full documentation for LLMs
README.md
# gdtest-skill-curated A package with a hand-crafted Agent Skill for testing Great Docs curated skill detection. ## Installation ```bash pip install gdtest-skill-curated ```
great-docs.yml generated
# Great Docs Configuration
# See https://posit-dev.github.io/great-docs/user-guide/configuration.html
# Module Name (optional)
# ----------------------
# Set this if your importable module name differs from the project name.
# Example: project 'py-yaml12' with module name 'yaml12'
# module: yaml12
# Docstring Parser
# ----------------
# The docstring format used in your package (numpy, google, or sphinx)
parser: numpy
# Dynamic Introspection
# ---------------------
# Use runtime introspection for more accurate documentation (default: true)
# Set to false if your package has cyclic alias issues (e.g., PyO3/Rust bindings)
dynamic: true
# API Discovery Settings
# ----------------------
# Exclude items from auto-documentation
# exclude:
# - InternalClass
# - helper_function
# Logo & Favicon
# ---------------
# Point to a single logo file (replaces the text title in the navbar):
# logo: assets/logo.svg
#
# For light/dark variants:
# logo:
# light: assets/logo-light.svg
# dark: assets/logo-dark.svg
#
# To show the text title alongside the logo, add: show_title: true
# Funding / Copyright Holder
# --------------------------
# Credit the organization that funds or holds copyright for this package.
# Displays in sidebar and footer. Homepage and ROR provide links.
# funding:
# name: "Posit Software, PBC"
# roles:
# - Copyright holder
# - funder
# homepage: https://posit.co
# ror: https://ror.org/03wc8by49
# API Reference Structure
# -----------------------
# Customize the sections below to organize your API documentation.
# - Reorder items within a section to change their display order
# - Move items between sections or create new sections
# - Use 'members: false' to exclude methods from documentation
# - Add 'desc:' to sections for descriptions
reference:
- title: Classes
desc: Main classes provided by the package
contents:
- CacheStore # 2 method(s)
- title: Functions
desc: Utility functions
contents:
- fetch
- parse
# Site URL
# --------
# Canonical address of the deployed documentation site.
# Required for subdirectory deployments, skills page install commands,
# .well-known/ discovery, and sitemaps.
# site_url: "https://your-org.github.io/your-package/"
# Site Settings
# -------------
# site:
# theme: flatly # Quarto theme (default: flatly)
# toc: true # Show table of contents (default: true)
# toc-depth: 2 # TOC heading depth (default: 2)
# toc-title: On this page # TOC title (default: "On this page")
# Jupyter Kernel
# --------------
# Jupyter kernel to use for executing code cells in .qmd files.
# This is set at the project level so it applies to all pages, including
# auto-generated API reference pages. Can be overridden in individual .qmd
# file frontmatter if needed for special cases.
jupyter: python3
# CLI Documentation
# -----------------
# cli:
# enabled: true # Enable CLI documentation
# module: my_package.cli # Module containing Click commands
# name: cli # Name of the Click command object