
Description
regex-vs-llm-structured-text is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It is a decision framework for parsing structured text such as quizzes, forms, invoices, receipts and tables. Its central claim is that a hybrid pipeline should start with regular expressions, which handle the large majority of repeating patterns cheaply and deterministically, around 95 to 98 per cent in the listing's examples, and reserve calls to a language model for the remaining edge cases. The skill helps decide between regex and an LLM for a given extraction job, designs hybrid pipelines that use both, and weighs cost against accuracy for text processing. It applies when text has repeating structure such as questions, form fields or table rows, and when a team is deciding whether a model call is worth its cost. A skill is a SKILL.md file of instructions that an AI agent loads when a task calls for it. It is free and open source, and the skills.sh listing shows all three security audits passing.…
Highlights
- Regex-first hybrid pipelines
- Reserves LLM calls for edge cases
- Cost and accuracy trade-offs
- Covers quizzes, forms, invoices and tables
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regex-vs-llm-structured-text FAQ
What does the regex-vs-llm-structured-text skill do?
It helps decide when to parse structured text with regular expressions and when to call an LLM, and designs a hybrid pipeline.
How much can regex handle?
The listing says regex handles 95 to 98 per cent of repeating patterns, leaving the rest to a model.
What kinds of documents does it suit?
Quizzes, forms, invoices, receipts and tables.
How do I install it?
Run: npx skills add https://github.com/affaan-m/ecc --skill regex-vs-llm-structured-text
Is it free?
Yes. It is free and open source.
Are there security findings?
The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.
What are the best regex-vs-llm-structured-text alternatives?
Popular alternatives to regex-vs-llm-structured-text include gemini, oracle and agent-architecture-audit. See all regex-vs-llm-structured-text alternatives










