Install
$ agentstack add skill-onescience-ai-oneskills-molsculptor-inference ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
MolSculptor 推理
使用边界
用于小分子/药物设计辅助推理。它不接受蛋白 FASTA、PDB folding batch 或 Evo2 DNA tokens。
可复用资源
{onescience_path}/onescience/examples/biosciences/_manifests/model_requests/molsculptor_request.yaml:SMILES/target case、checkpoint、采样、reward 和输出模板。references/molsculptor_execution.md:SMILES/graph、RDKit、diffusion、case/docking 和输出检查。
推荐流程
- 读模型卡:
onescience-coder/assets/models/molsculptor.md。 - 选择入口:通用推理看
src/onescience/flax_models/MolSculptor/train/inference.py;具体靶点优化看examples/biosciences/molsculptor/inference/*或cases//。 - Preflight:RDKit、JAX/Flax、checkpoint、vocab、padding atom 上限、初始 SMILES/分子、case 配置。
- 若涉及 docking reward:确认 OpenBabel/PDBQT/DSDP 脚本和 receptor 文件,不默认运行。
- Postflight:SMILES validity、duplicate、property、reward、SDF/CSV/PKL、失败分子比例。
交接物
bio_task_family: bio-inference
selected_concrete_skill: molsculptor-inference
model_family: MolSculptor
inference_mode: de_novo_or_optimization
input_protocol: SMILES_or_molecule_graph
entrypoint:
checkpoint:
sampling_strategy:
reward_or_case:
expected_outputs:
output_validation_plan:
execution_entry:
禁止事项
- 不要把 docking reward 当作已经运行,除非日志和产物证明完成。
- 不要忽略 RDKit sanitize 失败和重复分子。
- 不要把生成分子直接写成候选药物结论。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: onescience-ai
- Source: onescience-ai/OneSkills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.