Command
Machine Learning
Command
/results
Optional run ID (uses latest if omitted)
Install
$ npx -y skills add 001TMF/blatant-why --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/results
Context preview
What this command does when you run it.
Optional run ID (uses latest if omitted)
Command definition
results.mddescription: Show ranked design results
arguments:
- name: run_id
description: Optional run ID (uses latest if omitted)
required: falseDisplay the ranked results table for the specified run (or the most recent run).
Show the full results table with columns:
- Rank, Design name, ipSAE, ipTM, pLDDT, RMSD, Liabilities, Status
Include:
- Summary statistics (total designs, pass rate, best scores)
- Quality tier breakdown (excellent/good/marginal/fail)
- Numbered next-step options
Ships withblatant-why
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
Get the whole plugin
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Stars
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Forks
Active
Maintenance
Python
Language
MIT
License
9d ago
Last commit
7mo ago
Created
4h ago
Added
Other commands on blatant-why.
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Full autonomous campaign — research, design, screen, rank with minimal interruption

