protenix — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited protenix (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Protenix is ByteDance's open PyTorch reproduction of AlphaFold3 (Apache 2.0). It is an AF3-class complex predictor, useful next to boltz and chai for cross-checking designed complexes. Runnable through biomodals.
Use Protenix-v2 for antibody-antigen complexes. The v2 model (464M params, April 2026) adds 9 to 13 percentage points of antibody-antigen accuracy over v1 at the DockQ > 0.23 threshold and is more sample-efficient (v2 at 5 seeds exceeds v1 at 1000). Select it with --model-name protenix-v2. For general complexes, the v1 base model is fine.
| Requirement | Value |
|---|---|
| Runner | Modal (biomodals) |
| GPU | L40S (default; GPU env var) |
| Setup | See Getting started |
git clone https://github.com/hgbrian/biomodals && cd biomodals
printf '>protein|A\nMAWTPLLLLLLSHCTGSLSQ...\n' > target.faa
uv run --with modal modal run modal_protenix.py \
--input-faa target.faa \
--seeds 42 \
--no-use-msa| Parameter | Default | Description |
|---|---|---|
--input-faa | one required | FASTA input (or --input-json) |
--seeds | 42 | Comma-separated seeds |
--use-msa / --no-use-msa | MSA on | Pass --no-use-msa for single-sequence |
--model-name | v1 base | Set protenix-v2 for antibody-antigen complexes |
--use-mini | off | Switch to the smaller protenix_mini model |
--out-dir | ./out/protenix | Output directory |
| Need | Tool |
|---|---|
| Affinity head (small molecules) | boltz (Boltz-2) |
| Fastest, ligand support | chai |
| Open AF3 reproduction | protenix (v1 base) |
| Antibody-antigen complexes | protenix-v2 |
Ranking a shortlist across more than one predictor is more reliable than trusting a single model.
| Issue | Cause | Fix |
|---|---|---|
| Missing input error | No --input-faa/--input-json | Provide one |
| Slow run | MSA enabled | Add --no-use-msa |
| OOM | Large complex | Use --use-mini or a larger GPU |
Next: Rank with ipsae, filter with protein-qc.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.