Classify data.csv entries into repo, organization, or unknown via URL parsing and GitHub API checks.
npx skills add https://github.com/noemotiovon/oss-x --skill classify-noemotiovon
Please help me install this Agent Skill. Skill: classify Source: https://github.com/noemotiovon/oss-x/tree/main/.claude/skills/classify Command: npx skills add https://github.com/noemotiovon/oss-x --skill classify-noemotiovon
Classifies data.csv entries into repo, organization, or unknown by applying URL analysis and GitHub API checks, enabling downstream mapping workflows.
Run the classifier on data.csv to generate output/data_classify.csv.
High-intent search queries and answers about installing and using this skill.
To classify GitHub URLs in a CSV file as repositories or organizations, run the classifier script on data.csv to apply URL analysis and GitHub API checks, generating an output file with categorized entries.
Yes, you need a GITHUB_TOKEN to classify open source data entries, as the script requires GitHub API access to verify whether URLs correspond to valid repositories or organizations.
Ambiguous data.csv entries that cannot be resolved through URL parsing or GitHub API checks are categorized as unknown, providing a fallback path that flags them for human review.
Automating repository classification helps OSS ecosystem mapping by validating seed data entries and categorizing them into repos and organizations, enabling structured integration with downstream discovery pipelines.
No, you cannot use this URL parsing classifier without setting up a GitHub API connection, because the classification logic explicitly depends on GitHub API checks alongside URL pattern analysis.
The best way to structure CSV data for classifying GitHub repositories and organizations is to place your target URLs into a file named data.csv, which the classifier script processes to produce a categorized output file.
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