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

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