boltz-protein-screen Skill
Screen existing protein binders with Boltz. Use when ranking a supplied protein, peptide, antibody, nanobody, or binder library against a target. Not for designing new proteins or screening small molecules. Published by openai in plugins.
Decision snapshot
Is this a fit?
Browser automation, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
18 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is boltz-protein-screen Skill?
Screen existing protein binders with Boltz. Use when ranking a supplied protein, peptide, antibody, nanobody, or binder library against a target. Not for designing new proteins or screening small molecules. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Browser automation
- Browser automation use cases
Declared skill metadata
- Source file: plugins/boltz-api-cli/skills/boltz-protein-screen/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use boltz-protein-screen Skill
- Use it for browser automation.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/boltz-api-cli/skills/boltz-protein-screen/SKILL.md
What it does
Screen existing protein binders with Boltz. Use when ranking a supplied protein, peptide, antibody, nanobody, or binder library against a target. Not for designing new proteins or screening small molecules.
Skill instructions
Workflow If boltz-api is missing from PATH, use boltz-cli-setup for install/update guidance before retrying. If a command reports missing or expired authentication, use boltz-cli-setup to start boltz-api auth login --device-code before retrying; do not ask permission first. If the agent host sandbox blocks boltz-api install/auth/API calls, use boltz-cli-setup to request the host sandbox bypass/escalation needed for user-wide CLI install, browser login, credential storage, temp files, or API access before retrying. Use this skill when the user already has candidate proteins / peptides / antibodies / nanobodies. 1. Normalize the binder library into proteins — a list of candidate complexes. For a simple sequence library each entry has one protein entity; multi-chain candidates (antibody heavy+light) are also allowed. 2. Pick the target variant: - structuretemplate — user has a CIF/PDB file or URL; select which chains are polymer vs ligand, which residues to keep (cropresidues), and option
Verified compatibility and discovery
Frequently asked questions
What is boltz-protein-screen?
boltz-protein-screen is a open-source AI agent skill with Copy skill directory. Screen existing protein binders with Boltz. Use when ranking a supplied protein, peptide, antibody, nanobody, or binder library against a target.
Who is boltz-protein-screen best for?
boltz-protein-screen is best for reusing agent instructions, scripts, and references, browser automation workflows.
How do I install boltz-protein-screen?
Install or run boltz-protein-screen using Copy skill directory. Check boltz-protein-screen for the latest setup command.
Is boltz-protein-screen actively maintained?
boltz-protein-screen may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.