30k Corpus — AI skill for Claude Code
28,721 GitHub repositories analyzed for AI instruction quality across Claude, Codex, Copilot, Cursor, and Gemini.
How to install 30k Corpus
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open reporails/30k-corpus and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What 30k Corpus does
28,721 GitHub repositories analyzed for AI instruction quality across Claude, Codex, Copilot, Cursor, and Gemini. Full dataset behind "The State of AI Instruction Quality."
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README
30K Corpus: AI Instruction Quality Dataset
Dataset for ["The State of AI Instruction Quality"](https://medium.com/@cleverhoods/the-state-of-ai-instruction-quality-30k-repo-analysis-ce49c7667a57) — a corpus analysis of 28,721 GitHub repositories containing instruction files for five coding agents. Provided via [Reporails CLI](https://github.com/reporails/cli).
What's in this dataset
| File | Records | Description |
|---|---|---|
repos.jsonl |
28,721 | Per-project: agents configured, stars, language, license, topics |
stats_public.json |
1 | Aggregate statistics backing every table in the article |
validation_key.csv |
2,814 | Sample classifications: atom text, tool labels, source location |
Data dictionary
repos.jsonl
Each line is a JSON object with:
| Field | Type | Description |
|---|---|---|
full_name |
string | owner/project |
canonical_agents |
string[] | Agents detected after deduplication: claude, codex, copilot, cursor, gemini |
stars |
int | GitHub star count at collection time |
primary_language |
string? | GitHub-detected primary language |
license |
string? | SPDX license identifier |
archived |
bool | Whether repo is archived |
topics |
string[] | GitHub topics |
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