Initial phase-1 baseline of the karpathy/autoresearch-style loop. The formatter module is the inner-loop artifact; parser and linter are infra. The linter carries a LINTER_VERSION hash (v0.2.0) that will force a re-baseline on any rule change. Components: - harness/diff.py: case-sensitive field-level substring diff - harness/score.py: three-axis scoring (field, linter, canary exact) - src/cmos/linter.py: 9 CMOS 18 structural rules, each Purdue/CMOS cited - src/cmos/parser.py: locate ## Bibliography section, split entries - src/cmos/formatter.py: prompt + OpenAI call with caller injection - src/cmos/cli.py: cmos format path/to/draft.md - scripts/run_loop.py: loop runner with --fake mode for no-API runs - exemplars/: 3 canary seed exemplars (book, journal w/DOI, web), sourced from chicagomanualofstyle.org quick guide Tests: 48 passing. Fake-mode baseline scalar = 0.000 on the 3 seed exemplars (identity caller fails the linter on every rule). This is the floor the real GPT-5 formatter needs to improve from.
17 lines
178 B
Plaintext
17 lines
178 B
Plaintext
__pycache__/
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*.py[cod]
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.venv/
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.pytest_cache/
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*.egg-info/
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dist/
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build/
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# logs grow; keep directory but ignore contents
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logs/*
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!logs/.gitkeep
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# secrets
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.env
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.env.*
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!.env.example
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