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CLAUDE.md2 starsChanged 43 days agoMITView on GitHub

Read SPEC.md (v2) and CONTRACT.md before changing code. ROADMAP.md is the working plan. The hackathon docs in docs/history/ are provenance only; do not follow their rules (worktree tracks, frozen specs, 240 s).

  • Reads credentials

The file

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

4 rules. About 0 are common, 0 are distinctive, and 4 are 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.

  • 4

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  • could be automatic: a setting could enforce it
  1. Very specific:

    Read SPEC.md (v2) and CONTRACT.md before changing code.

    line 3
  2. Very specific:

    Commit the event logs (.manifest/runs/*.jsonl) that back any reported number.

    line 11
  3. Very specific:

    Never commit .env. Teacher spend is capped (TEACHER_BUDGET_USD, --teacher-budget).

    line 15
  4. Very specific:

    Commit at each checkpoint with a clear message (no AI attribution lines).

    line 38

≈ “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

Manifest: agent guide

Read SPEC.md (v2) and CONTRACT.md before changing code. ROADMAP.md is the working plan. The hackathon docs in docs/history/ are provenance only; do not follow their rules (worktree tracks, frozen specs, 240 s).

Rules that matter

  • Never hand-write grown routines (harnesses/*/routines/, routines/grown/, skills/<grown>/). They come from the teacher, with provenance in a growth log. Seeds (routines/seed/) stay minimal.
  • Nothing held-out reaches the teacher. Teacher contexts go through assert_no_leak; keep the leak tests green.
  • Numbers come from logs. RESULTS.md is generated (growth/report.py); never hand-edit results. Commit the event logs (.manifest/runs/*.jsonl) that back any reported number.
  • Events only via harness.log.EventLog; a new event type must be registered there and documented in CONTRACT.md.
  • Changing baseline behaviour (loop, tools, student call) → bump harness.env.BASELINE_VERSION so the round-0 cache is not reused across incompatible runs.
  • Never commit .env. Teacher spend is capped (TEACHER_BUDGET_USD, --teacher-budget); prefer off-peak.

Environment (this machine)

  • Debian VM skywalker, 4 vCPU, 8 GB RAM, CPU only. Student = qwen3.5:4b on the systemd Ollama (http://localhost:11434): ~60–90 s per student turn, a baseline task is 15–20 min. Never run two Ollama-backed suites at once and don't load other models (8 GB).
  • Long runs go in tmux (tmux new-window -t main -n <name> ...), with console output in .manifest/logs/. Runs are resumable: round-0 baseline is cached per task; growth checkpoints in .manifest/growth/<run>/.
  • Python via uv: uv sync, uv run pytest (~200 tests, ~1.5 min, no models needed), uv run python -m ....
  • Warden's kernel sandbox on Linux is bubblewrap (/usr/bin/bwrap); uv run python -m warden.sandbox --selftest.
  • Teacher key: DEEPSEEK_API_KEY in .env (template .env.example), model id deepseek-flash.

Common commands

uv run python -m growth.eval --split heldout --profile full --mode baseline --round 0          # E1 (cached per task)
uv run python -m growth.eval --split heldout --profile full --mode manifest --registry <reg>   # any harness
uv run python -m growth.stream --profile full                                                  # v2 growth (teacher)
uv run python -m growth.stream --fake-teacher --stub-runner                                    # rehearsal, no models
uv run python -m growth.report <log.jsonl> [...] -o RESULTS.md
uv run python -m tasks.labels <log.jsonl>

Working style

  • Commit at each checkpoint with a clear message (no AI attribution lines). Tick items in ROADMAP.md.
  • Tests live in tests/; anything touching the event log, the teacher context, Warden or judging needs a test.
  • Report honestly: failed runs, budget hits and deviations go into RESULTS.md notes, not under the rug.

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