SkillCheatSheet
regex-vs-llm-structured-text
An AI agent skill from affaan-m/ECC, scored 49 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline — regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and LLM for text extraction, building a cheap document parser, or optimizing extraction cost and accuracy.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- affaan-m/ECC
- Folder
- skills/regex-vs-llm-structured-text
- License
- MIT
- GitHub stars
- 301,615
- SKILL.md lines
- 222
- Other files
- 0
Add regex-vs-llm-structured-text to your agent
npx skills add affaan-m/ECC --skill regex-vs-llm-structured-textThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.