complexa-evaluate-pdbs
Skill0 starsChanged 31 days agoNo licenceView on GitHub
Standalone evaluation of an existing PDB directory with Proteina-Complexa. Use when the user wants to "evaluate PDB files", "re-fold these designs", "compute interface pAE", "compute i_pLDDT for a folder", "run AF2 / RF3 / ESMFold on my designs", "score binder candidates", "designability of this folder", "scRMSD for designs", "motif RMSD for these PDBs", "complexa analysis", "complexa evaluate from a PDB directory", "evaluate from pdb dir", or to score third-party outputs (BindCraft, AlphaProteo, RFdiffusion, hand-curated decoys). Picks the correct evaluate_*.yaml config, wires ++dataset.pdb_dir and the folding backend, runs the evaluate → analyze chain, parses the result CSV, and reports pass-rates against the right result_type thresholds.
- Reads credentials
- Installs packages
2 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- NVIDIA/skillsedited, first seen Nov 1, 2026
- NVIDIA-Digital-Bio/Proteina-Complexaedited, first seen Oct 8, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- NVIDIA/skills★ 3.9k94% same
- NVIDIA-Digital-Bio/Proteina-Complexa★ 46594% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository216 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- 13c-metabolic-fluxSkill
- adaptyvSkill
- aeonSkill
- alphagenomeSkill
- analytical-method-validationSkill
- anndataSkill
- arboretoSkill
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- autoskillSkill
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- bgpt-paper-searchSkill
- bidsSkill
- biopythonSkill
- bioservicesSkill
- boltz2-nimSkill
- bulk-rnaseqSkill
- canteraSkill
- cellprofilerSkill
- cellxgene-censusSkill
- cirqSkill
- citation-managementSkill
- clinical-decision-supportSkill
- clinical-reportsSkill
- cobrapySkill
- codonfm-embedSkill
- codonfm-finetuneSkill
- codonfm-scoreSkill
- codonfm-setupSkill
- complexa-binder-designSkill
- complexa-designSkill
- complexa-setupSkill
- complexa-sweepSkill
- complexa-targetSkill
- consciousness-councilSkill
- cuequivarianceSkill
- daskSkill
- database-lookupSkill
- dataladSkill
- datamolSkill
- deepchemSkill
- deepspot-mSkill
- deeptoolsSkill
- depmapSkill
- dhdna-profilerSkill
- diffdock-nimSkill
- diffdockSkill
- dnanexus-integrationSkill
- drug-discovery-pipelineSkill
- esmSkill
- etetoolkitSkill
- evo2-nimSkill
- exa-searchSkill
- experimental-designSkill
- exploratory-data-analysisSkill
- fictivSkill
- flowioSkill
- flowkitSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 1 is distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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