{"id":7327,"plugin_id":"plugin_asdk_app_6a5fc156fad88191a3977b60131d7391","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T22:50:21.444Z","digest":"220e0a8de5651df0e06f24d719dd0ada07327aa073044b69ff21911dfcea7123","against":null,"payload":{"name":"tamarind-mcp-developability","description":"Score protein or antibody candidates for stability, aggregation, solubility, viscosity, polyreactivity, glycosylation, immunogenicity, and related developability risks with Tamarind Bio through MCP. Use as a post-design filter. Not for generating molecules, folding structures, or measuring binding alone.","included_files":[],"skill_md_contents":"---\nname: tamarind-mcp-developability\ndescription: Score protein or antibody candidates for stability, aggregation, solubility, viscosity, polyreactivity, glycosylation, immunogenicity, and related developability risks with Tamarind Bio through MCP. Use as a post-design filter. Not for generating molecules, folding structures, or measuring binding alone.\n---\n\n# Filter candidates for developability\n\nTreat developability as a panel of orthogonal risks, not one universal score.\n\n## Select the panel\n\nCall `listTags` to obtain current function values, then use filtered `getAvailableTools` calls for developability, stability, aggregation, solubility, immunogenicity, or another relevant axis. Inspect each selected tool with `getJobSchema`.\n\nMatch the input type and modality. Sequence-only, structure-based, paired-antibody, and nanobody-specific tools are not interchangeable.\n\nUpload structures with `uploadFile` or use an accepted prior-job `s3Path`. Call `validateJob` and `estimateTime` for each planned tool. For a candidate list, use `tamarind-mcp-batch` so one settings policy is applied consistently; validate every distinct conditional payload shape before multiplying the run.\n\n## Execute and interpret\n\nUse `tamarind-mcp-submit-and-poll` for a single candidate and `tamarind-mcp-batch` for many independent candidates.\n\nReport every risk axis separately with the tool, units, direction, and threshold rationale. Preserve a Pareto set when candidates trade affinity against solubility, stability, or immunogenicity. Computational predictions prioritize assays and formulation work; they do not replace them.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}