Gh Star Region Breakdown

Skill Warning Active

Fetch stargazer locations, classify regions, and generate a region breakdown chart

Purpose

To provide insights into the geographical distribution of a GitHub repository's stargazers by automatically fetching, classifying, and visualizing this data.

Features

Fetch stargazer locations from GitHub
Classify locations into standard regions
Generate interactive regional breakdown charts
Cache stargazer data for efficiency
Support multiple repository comparisons

Use Cases

Understanding the global audience of a GitHub repository
Identifying key geographical communities for a project
Visualizing how stargazer demographics change over time
Comparing the regional appeal of different repositories

Non-Goals

Analyzing non-stargazer repository data
Providing real-time location tracking of users
Classifying locations beyond the predefined rules
Generating charts for metrics other than stargazer locations

Documentation

info:Configuration & parameter referenceWhile the workflow is described, specific classification rules for regions are provided as prose rather than a configurable parameter or documented map.

Maintenance

critical:Commit recencyThe last commit was over 3 months ago (2026-03-23), indicating potential unmaintained status.
warning:Dependency ManagementThe project uses Node.js and likely has dependencies, but there is no clear evidence of vulnerability scanning or an update mechanism beyond manual updates.

Versioning

warning:Release ManagementThere is no explicit versioning in the frontmatter, package.json, or GitHub releases, and the install command references `main` branch, making version pinning difficult.

Code Execution

info:ValidationThe skill processes locations and counts, but explicit schema validation for inputs and outputs is not evident from the SKILL.md.
warning:Error HandlingThe SKILL.md outlines steps, but does not detail specific error handling for API call failures, classification issues, or file operations, leaving recovery paths unclear.

Errors

info:Actionable error messagesThe SKILL.md outlines the steps but does not explicitly detail user-facing error messages or remediation steps for potential failures during classification or fetching.

Execution

warning:Pinned dependenciesThe project relies on Node.js, but there is no explicit mention of pinned dependencies or a lockfile in the provided context, and scripts lack side-effect headers.

Practical Utility

info:Edge casesThe classification rules mention handling 'Ambiguous/joke locations' but do not explicitly detail other failure modes like API rate limits or network issues and their recovery.

Safety

info:Halt on unexpected stateWhile the skill outlines steps, it does not explicitly detail preconditions or instructions to abort on unexpected states like a dirty working tree or expired credentials.