nf-binder-design
nf-binder-design is a Bioinformatics & life sciences skill for AI agents, published by Australian-Protein-Design-Initiative in the nf-binder-design repository on GitHub. Skillspace rates nf-binder-design D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Runs the nf-binder-design Nextflow pipeline for de novo protein binder design. Covers RFdiffusion (--method rfd), partial diffusion (--method rfd_partial), RFdiffusion3 (--method rfd3), BindCraft (--method bindcraft), Germinal (--method germinal), BoltzGen (--method boltzgen), Boltz Pulldown (--method boltz_pulldown), and FoldSeek (--method foldseek or --do_foldseek). Use when the user wants to design protein binders, nanobodies, or peptides, set up or run nf-binder-design, configure HPC/SLURM, or troubleshoot pipeline errors.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 20
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.