Rapport d’audit du skill
alterlab-boltz Rapport d’audit.
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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Avertissement48
66 stars GitHub
Activité stars/forks
Avertissement48
66 stars et 13 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info72
Surface d’exécution de commandes
Disponibilité de l’installation
Validé92
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-boltz
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info64
Exécution shell ou de commande, accès à la base de données
Preuve du dépôt
Validé86
https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/bioinformatics/alterlab-boltz
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-boltz
Dépôt
88
https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/bioinformatics/alterlab-boltz
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
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.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
72
Surface d’exécution de commandes
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
64
Exécution shell ou de commande, accès à la base de données
Activité stars/forks
48
66 stars et 13 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
66 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Financial research output is not financial advice; require human review before any live investment decision
- 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.
- evals.json is incomplete: the third eval has an empty expected_output and lacks full assertions.
- Installation and GPU setup instructions are underspecified; no concrete CUDA/torch version or verification steps are provided.
- No example of expected output file names or validation steps is included, making it harder for an agent to confirm success after a run.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 66 GitHub stars
- Stars/forks activity: 66 stars, 13 forks; issue activity unavailable in current metadata
Méthode
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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