{"identifier":"urn:ai:org.agntcy:cid:baeareiefcnrscjaird7igl5hd45yv7aekw77q2y3xyik76y4lypy77m3gu", "displayName":"msa-structure-prediction-pipeline", "mediaType":"application/agent-skills+gzip", "type":"application/agent-skills+gzip", "data":{"artifacts":[{"artifact_hash":"sha256:8f5863ee04f57ee014f616e2c645b4b13d488244f7e4a5bb0c44ca48e4c4071a", "path":"BENCHMARK.md", "type":"other"}, {"artifact_hash":"sha256:037b75c1d6ffdb82d1ec9387b3e7c63f529317842bc53e5d4a19437b603cd11f", "path":"evals/evals.json", "type":"other"}, {"artifact_hash":"sha256:102e131d36f5662c52e61e503178d12c80787885715a0588a748fbb3a426bc00", "path":"skill-card.md", "type":"other"}, {"artifact_hash":"sha256:dc9cf8dcb91826de76fff49c7e8e7b279f3631a4c1bd8ed76ac80444023e46e1", "path":"skill.oms.sig", "type":"other"}], "skill_file":"SKILL.md", "skill_manifest":{"allowed_tools":["Bash,", "Read,", "Write,", "AskUserQuestion"], "description":"NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.", "license":"Apache-2.0 AND CC-BY-4.0", "name":"msa-structure-prediction-pipeline", "version":"v1.0.0"}}, "version":"v1.0.0", "description":"NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.", "tags":["oasf:1.1.0:domains:life_science/bioinformatics", "oasf:1.1.0:domains:life_science/genomics", "oasf:1.1.0:skills:science_specialized/life_sciences/cheminformatics", "oasf:1.1.0:skills:science_specialized/life_sciences/sequence_analysis"], "trustManifest":{"identity":"urn:ai:org.agntcy:cid:baeareiefcnrscjaird7igl5hd45yv7aekw77q2y3xyik76y4lypy77m3gu", "identityType":"did", "attestations":[{"type":"publisher-identity", "uri":"data:application/vnd.dev.sigstore.bundle.v0.3+json;base64,{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", "verificationMaterial":{"certificate":{"rawBytes":"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"}, "tlogEntries":[{"logIndex":"2980950723", "logId":{"keyId":"wNI9atQGlz+VWfO6LRygH4QUfY/8W4RFwiT5i5WRgB0="}, "kindVersion":{"kind":"hashedrekord", "version":"0.0.1"}, "integratedTime":"1790555024", "inclusionPromise":{"signedEntryTimestamp":"MEUCIANui1eg6dWUi32XLA2UwhQulBXFrkoeVG5CZA77HFhQAiEAiO/PQgqNLlWXESMWUsPFCyl/ZJTlKQeZ6kmlHRLdAiM="}, "inclusionProof":{"logIndex":"2859046461", "rootHash":"vX47mWCs9F9cQnv8hg0+jxjZJH2ek9yrdJ3TGxSfXAA=", "treeSize":"2859046468", "hashes":["yq4zUyoi4/THtgCumI5WWlBQoel0D1kUhXevWPB9ZQc=", "pXfGQUintMPzuI4bm+4veBwpKYSSJnVoNV8/48HJF2g=", "pWt4RQB/2Xe7X5LzcbftZtYtyXQMPwe+4xA4BDIVF5U=", "ihAHsEzxgP2jyNMjANNavo0z/4Vb67yn359UBeWiVr8=", "L9ePQ2EqgK0flcQF61WkuNnvGZ9SEOkvNCtpp82nIYs=", "uev1EPIgFK9FFT+vCcM6V1FzTO1S0DxCgHwVRoPjANI=", "i8EidmF8pb4ThPgwzGNMH2UQpC2fJfFPkd2PG8cUezo=", "BIWY5sh7Yvod/UByLVj9ZkiyxIIs5dfXKV3IQ0r7xvY=", "S9+VDBj2cFWqJk2SvD1WIyNttDTGlJLu0K3CcU6NIPQ=", "IOa5yQ9NtFM4SPooP4PlXxq6H7Ruw9K1XFflpYwP3Qw=", "vkFs0zWRDrrwPKMcexn6aWWiSdras0dEQoLGfEjWmA8=", "f4DLFF4a/tFHG5OeUh3RYGqQ6I6AoYjSPhV3K0eECcE=", "IPA4R0AINGdKGHeiMVewQkcQiRM7aHUJhVk6976VT/k=", "6mDtzPjFGaVpSuFNTA+Iv26aRnFFJ/c8nOTK7q9yl2Y=", "aCJfei18nLGFIqn/qu3wnR4eG+9VM93d7+D3D+LkNkU=", "B1Y96tQagNknpJ8/ufNODAPKkOjvBLLCKTEJLfbi5rU=", "ttpxd0TJprOUtb/8Wf5DeIzwNtUw72Q0YnXE2LFMIZo=", "qxzHanAzz57SDdmJe0B7bJK72NTIBbwEMGBBKvDOROw=", "xH/DCseLHr9eKoYT8qsORZK7zVdEGYWHuVtsVrD95wY="], "checkpoint":{"envelope":"rekor.sigstore.dev - 1193050959916656506\n2859046468\nvX47mWCs9F9cQnv8hg0+jxjZJH2ek9yrdJ3TGxSfXAA=\n\n— rekor.sigstore.dev wNI9ajBFAiEAwnRwI2HRA2+OI3l7B7DQPvA5e3MKVjkuvdygeLUD910CIGbE6mJobpiYG/LBwrfHhwUVC9eC4J7quu+eTAutzdbg\n"}}, "canonicalizedBody":"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"}], "timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}}, "messageSignature":{"messageDigest":{"algorithm":"SHA2_256", "digest":"rpp+8CHzOuvXNXtMW0NrqL2B5jQmWyy6AgH9UmO/Klw="}, "signature":"MEUCIQDi5WmFUByZYRSEmlgcnhAbRPZgy0DVtipqpP1uSaGKcwIgYvnwGUw/vH1ycD4fN8BM17LJ4Rmuan0KhXXm5ZH2Vk0="}}", "mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", "digest":"sha256:fd08cf0d35acae9ab18db32ac7397ccb23ba425622f358a9e8034320050facd5", "size":"10131", "description":"Verified signature by urn:ai:org.agntcy:signer:oidc:CN=sigstore-intermediate,O=sigstore.dev:token.actions.githubusercontent.com:github.com/agntcy/dir/.github/workflows/import-records.yaml@refs/heads/main"}], "provenance":[{"relation":"derivedFrom", "sourceId":"urn:ai:org.agntcy:signer:oidc:CN=sigstore-intermediate,O=sigstore.dev:token.actions.githubusercontent.com:github.com/agntcy/dir/.github/workflows/import-records.yaml@refs/heads/main", "signatureRef":"sha256:fd08cf0d35acae9ab18db32ac7397ccb23ba425622f358a9e8034320050facd5"}], "metadata":{}}, "updatedAt":"2026-09-28T00:16:18Z", "metadata":{"agntcy.dir.security.v1.ScanResult":{"isSafe":true, "maxSeverity":"MEDIUM", "reports":[{"isSafe":true, "maxSeverity":"MEDIUM", "scannerType":"SKILL", "updatedAt":"2026-09-28T02:34:24Z"}]}, "agntcy.dir.trust.v1.Status":{"trusted":true, "verified":false}, "agntcy.dir.usage.v1.Metrics":{"lookupCount":1, "providerCount":1, "pullCount":0}}}