larashero3-dotcom/lieflat-gongwen
通过102万字语料提炼的公文写作 skill，把公文写作风格变成可测量、可验收的量化数据
About the project
A skill for AI agents that turns Chinese official-document (gongwen) style into measurable parameters derived from 1.02M characters of real corpora, helping reproduce 7 document genres.
Useful for
- Attach the skill to Codex or Claude Code so the agent drafts a work plan or research report with genre-specific parameters.
- Run a finished text through scripts/check_params.py to spot genre mismatches in heading structure.
- Compare a draft against the DNA documents and synthetic samples before submitting the material.
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 32 stars today.
- Interest is fading: the two-day pace is 58% of the previous week and a half.
- The repository is 11 days old and already has 916 stars.
- Top new repositories this month: #98.
- About 6 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 916
- Stars in a day
- 32
- Forks
- 145
- Issues and pull requests
- 1
- Watchers
- 0
- Language
- Python
- Created
- September 2, 2026
- Last push
- September 5, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 13, 2026Top new repositories this month: #96
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