validate-orgs

Validate organizations as meaningful open-source entities across org_exp.csv workflows.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/noemotiovon/oss-x --skill validate-orgs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validate-orgs
Source: https://github.com/noemotiovon/oss-x/tree/main/.claude/skills/validate-orgs
Command: npx skills add https://github.com/noemotiovon/oss-x --skill validate-orgs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the multi-layer validation of organizations to determine whether they are meaningful open-source entities.

Core Features & Use Cases

  • Auto-validation: Runs deterministic checks on org_exp.csv to mark obvious, valid organizations and flag others for deeper review.
  • GitHub API validation: Retrieves organisation statistics (total repos, stars, activity) to inform validity decisions.
  • LLM-assisted review: Applies web-sourced evidence for non-GitHub entities to resolve uncertainty with human-in-the-loop validation.
  • Result consolidation: Writes a comprehensive output file org_exp_val.csv with provenance and method notes for audit.
  • Next steps guidance: Prepares the dataset for the downstream expansion of repositories and foundations.

Quick Start

Run the validation script to process the org_exp.csv and generate output/org_exp_val.csv.

Frequently Asked Questions about validate-orgs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate open-source organizations from a CSV file automatically?

You can validate open-source organizations by running an automated script that checks org_exp.csv, queries the GitHub API for statistics, and applies LLM-assisted review to output a validated org_exp_val.csv file.

Does GitHub API validation require a token to check organization statistics?

Yes, GitHub API validation requires a GITHUB_TOKEN to retrieve organization statistics like total repositories, stars, and activity levels to determine if an entity is a meaningful open-source organization.

What is the best way to verify non-GitHub open-source entities in a dataset?

The best way to verify non-GitHub entities is using LLM-assisted review, which applies web-sourced evidence to resolve uncertainty about whether an organization is a meaningful open-source entity.

Can I automate multi-layer validation for organizations using Python?

Yes, you can automate multi-layer validation using a Python environment that runs deterministic checks, GitHub API queries, and LLM-assisted reviews to consolidate results into a comprehensive CSV output.

What limitations exist when validating organizations without a GitHub presence?

Organizations without a GitHub presence cannot be validated through API statistics alone, requiring LLM-assisted review with web-sourced evidence and human-in-the-loop validation to resolve uncertainty.

How does the validation script consolidate results for audit purposes?

The validation script consolidates results by writing an org_exp_val.csv file that includes provenance and method notes for audit, preparing the dataset for downstream expansion of repositories and foundations.