single-cell-foundation-model-langcell
single-cell-foundation-model-langcell is a Bioinformatics & life sciences skill for AI agents, published by PharMolix in the OpenBioMed repository on GitHub. Skillspace rates single-cell-foundation-model-langcell D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when a task involves the LangCell project for single-cell language-cell modeling, especially zero-shot cell type annotation, few-shot annotation, LangCell-CE finetuning, Geneformer-style tokenization, or preparing text descriptions for candidate cell identities and multimodal cell-text matching workflows.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,090
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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