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Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
Add an explicit Boltz2 composite-confidence filter and ranked CSV export, normalize hosted NIM credentials for delegated commands, and defer live campaign evaluations until verified fixtures exist. Add a staged offline bookkeeping evaluation with regression coverage. Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
Move the native workflow sources out of the NVCarps workflows prefix so generated skills are validated individually. Update plugin discovery, catalog paths, CI filters, and documentation for the new source root. Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
Signed-off-by: nvskills-svc-account <svc-nvskills-signing@nvidia.com>
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
… evals Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
| description: > | ||
| Run a complete protein binder design campaign with NVIDIA Proteina-Complexa: resolve a target structure and hotspots from a name/sequence/PDB, co-design binder sequence+structure with reward-guided test-time search (best-of-n, beam search, FK steering, MCTS), select with the internal AF2 reward gate, then INDEPENDENTLY validate each binder by refolding the complex with Boltz2 (default) or OpenFold3 and rank on interface confidence, pLDDT, ipSAE, apo/holo stability, and hotspot contact. Use whenever the user wants de novo binders against a named target, sequence, or PDB, hotspot/epitope-targeted design, Proteina-Complexa / Complexa, or ranked validated binders from one request. Sibling of protein-binder-design (RFdiffusion + ProteinMPNN); this skill uses Proteina-Complexa. | ||
| description: Design protein binders with Proteina-Complexa and independently validate them with Boltz2. Use for design campaigns, not code or report review. | ||
| metadata: |
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Signatures do not match skills
This skill’s guidance changed after its signature was produced. The signature records a different SKILL.md hash, so consumers cannot verify the guidance being packaged. The protein-binder-design skill has the same mismatch. Regenerate both signatures for the final payload.
Knowledge Base Used: Skill quality and compliance controls
Signed-off-by: Ohad Mosafi <omosafi@nvidia.com>
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/nvskills-ci |
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