trident
trident is a Computer vision skill for AI agents, published by mahmoodlab in the TRIDENT repository on GitHub. Skillspace rates trident D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Process whole-slide pathology images (WSIs) with TRIDENT: tissue segmentation, patch coordinate extraction, and patch/slide feature (embedding) extraction with foundation models (UNI, CONCH, Virchow, Gemma, Titan, GigaPath, etc.). Use when the user works with WSIs (.svs/.tiff/.ndpi/.mrxs/.czi/.dcm), mentions TRIDENT, run_batch_of_slides / run_single_slide, tissue segmentation, patching, or extracting pathology embeddings for downstream ML.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 602
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 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
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