Laporan audit skill
alterlab-boltz Laporan 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.
Adopsi GitHub
Peringatan48
66 star GitHub
Aktivitas star/fork
Peringatan48
66 star dan 13 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info72
Cakupan eksekusi perintah
Ketersediaan pemasangan
Lulus92
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-boltz
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info64
Eksekusi shell atau perintah, akses database
Bukti repositori
Lulus86
https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/bioinformatics/alterlab-boltz
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-boltz
Repositori
88
https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/bioinformatics/alterlab-boltz
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
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.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
72
Cakupan eksekusi perintah
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
64
Eksekusi shell atau perintah, akses database
Aktivitas star/fork
48
66 star dan 13 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
66 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- 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
Metode
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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