agentleFS
petecurranpetecurran/sorted/seed/CLAUDE.md

sorted / seed

CLAUDE.md0 starsChanged 45 days agoMITView on GitHub

The demo's photos, labels, map layers and simulated data. Some of it is source and some is generated; never hand-edit the generated files.

The file

We split this CLAUDE.md into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Everything here is fictional or credited: No real report, no real person, and no real council's name or crest.

    line 16

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

seed/

The demo's photos, labels, map layers and simulated data. Some of it is source and some is generated; never hand-edit the generated files.

PathWhat it isMade by
photos/case_NNN_before.jpg, _after.jpgAI-generated photos of each case, before and after clearingCommitted
cases/labels.jsonWhat each photo shows, set by a person looking at itCommitted, by hand
live_demo/The five demo-kit photos, with GPS written in, and LIVE_DEMO.mdscripts/build_kit.py
*.geojsonStreets, wards, boundaries and railway and National Highways landscripts/build_geo.py, from sources in NOTICE.md
demo_incidents.json, history.json, model_cache.json, photos_web/The simulated reports and cached readings, dated relative to todayscripts/build_seed.py, not in git
  • cases/labels.json is ground truth twice over. The seed builder turns it into each case's reading, and evals/score.py scores the model against it. Change a label only by looking at the photo, never to move a score. A label change moves the eval results, so re-score and say so in docs/EVALS.md. The edit hook blocks agents from changing it.
  • A photo's bytes are its identity. The cache and the evals both key photos by SHA-256. Re-saving a photo, even losslessly, breaks its cached reading and means the shipped prompt is no longer measured on it (tests/test_units.py fails). Rebuild the seed and re-run the evals after changing any photo.
  • The kit photos and the simulated places move together. The GPS in each live_demo/ photo, the hotspots and the merge target all come from scripts/demo_places.py. After changing a place, run build_kit.py, then build_seed.py.
  • Everything here is fictional or credited. No real report, no real person, and no real council's name or crest. The licence for each map layer is in NOTICE.md; add a row there for any new file.

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