cmos dev
4cad38ef30
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.
12 lines
602 B
Markdown
12 lines
602 B
Markdown
# A sample draft
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Here is some prose that references a few sources, none of them properly
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formatted. This file exists so we can manually verify the CLI end-to-end with
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`uv run cmos format rough_drafts/sample.md` once an OpenAI key is set.
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## Bibliography
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yu, charles. interior chinatown. New York: Pantheon Books, 2020.
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Kwon, Hyeyoung. "inclusion work: children of immigrants claiming membership in everyday life." American Journal of Sociology, Vol. 127, Issue 6, 2022, pp. 1818-1859. DOI: 10.1086/720277
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google, "privacy policy," privacy & terms, effective nov 15 2023, policies.google.com/privacy
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