ocr-local
ocr-local is a Computer vision skill for AI agents, published by HKU-MMLab in the UniClawBench repository on GitHub. Skillspace rates ocr-local C (77/100) and it was flagged as an attack benchmark; the rating is based on static analysis only.
Flagged as an attack benchmark: test cases written to attack AI agents. Do not install or run it.
Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Flagged as an attack benchmark
- GitHub stars
- 34
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C, but it was flagged as an attack benchmark, which keeps it out of our recommendations and rankings. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- The static scan found no issues, but it was flagged as an attack benchmark.
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 4 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.