Skill audit report
Co-fold biomolecular complexes with Boltz-2, an open AlphaFold3-style model — predict protein + ligand (SMILES/CCD), protein + nucleic-acid, and multi-chain structures in one pass, with binding-affinity prediction. Use when folding a protein together with a small-molecule ligand, predicting a holo (ligand-bound) complex or its binding affinity, or co-folding protein–DNA/RNA assemblies. For protein-only or protein–protein folding without ligands prefer alterlab-alphafold; for antibody–antigen complexes prefer alterlab-chai; to dock a ligand into a FIXED receptor structure prefer alterlab-diffdock; to look up an existing structure prefer alterlab-pdb. Part of the AlterLab Academic Skills suite.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
66 GitHub stars
Stars/forks activity
WARN48
66 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
13d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-boltz
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/bioinformatics/alterlab-boltz
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-boltz
Repository
88
https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/bioinformatics/alterlab-boltz
License
86
MIT
Maintenance
100
13d since push
AI review
55
SKILL.md and references contain unresolved TODO(verify) placeholders for the exact Boltz package pin, YAML/FASTA input schema, and binding-affinity output flag, which are reproducibility blockers.
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
48
66 stars, 13 forks; issue activity unavailable in current metadata
Adoption
68
66 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.