Install
$ agentstack add skill-onescience-ai-oneskills-simplefold-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
SimpleFold 推理
使用边界
用于 OneScience SimpleFold 示例的蛋白折叠推理。它不是 AF2/OpenFold 或 AF3/Protenix feature pipeline,不要互换输入。
可复用资源
{onescience_path}/onescience/examples/biosciences/_manifests/model_requests/simplefold_request.yaml:FASTA、模型规模、采样、ESM、checkpoint 和输出模板。references/simplefold_execution.md:SimpleFold 输入特征、采样参数和失败恢复。
推荐流程
- 读模型卡:
onescience-coder/assets/models/simplefold.md。 - 确认入口:
{onescience_path}/onescience/examples/biosciences/simplefold/inference.py,需要采样实验时看sample.py。 - Preflight:FASTA、模型规模、checkpoint、ESM 表征路径或在线生成能力、GPU 显存。
- 参数收紧:
num_steps、tau、nsample_per_protein、输出目录和 seed。 - Postflight:结构文件、残基数、pLDDT/置信度、空结构、采样多样性。
禁止事项
- 不要把 OpenFold/Protenix batch 送入 SimpleFold。
- 缺少
esm_s或 atom-token 特征路径时,不要假装能直接最小 forward 完成结构推理。 - 不要只看生成 PDB 是否存在,必须检查残基数和坐标是否非空。
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.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.