Add README scraper + initial README corpus#12
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
6,640 README files fetched locally; ETags stored in github_stars.json so subsequent GHA runs get 304 Not Modified and never repeat the cold start. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
READMEs are public content mirrored from public repos. Secret-looking strings in them (example webhooks, demo OAuth credentials, scanner test patterns) are not real secrets we own or can rotate. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
scripts/scrape_readmes.py: fetches READMEs for all starred repos via GitHub REST API, stores atreadmes/<owner>+<repo>+<filename>, persists ETag/sha/size/status metadata ingithub_stars.json.tests/test_scrape_readmes.py: 13 unit tests (mocked HTTP, tmp_path sandbox). All passing..github/workflows/scrape-readmes.yml: reusable workflow, called bysync-stars.ymlas pipeline step 3.sync-stars.ymlto chain scrape-readmes after update-lists, before deploy..github/secret_scanning.ymlto excludereadmes/**from push protection (READMEs are mirrored public content; example/demo secrets in them are not ours to rotate).github_stars.jsonwith ETags for all repos.Why the corpus is in the PR
The initial scrape took a long time. GHA must not repeat it. Committing the corpus + ETags means every subsequent GHA run issues conditional GETs and gets 304 Not Modified for unchanged READMEs — no content re-downloaded, no cold start.
GHA metadata preservation
All three scrapers load-merge-save
github_stars.json; thereadmeblock survivesscrape_stars.pyandupdate_star_lists.pywrite cycles intact (verified by code review).Smoke test plan (before merging)
scrape-readmesworkflow manually on this branchnot_modifiedfor essentially all repos🤖 Generated with Claude Code