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protein-struct-viz蛋白质结构即

Agent Skill

protein-struct-viz 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,340

周安装

142

GitHub Stars

公开资料未说明

下载量

1,170
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:protein-struct-viz(蛋白质结构即)
来源仓库:https://github.com/aipoch-ai/protein-struct-viz
安装命令:
openclaw skills install protein-struct-viz
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install protein-struct-viz

简介

生成 PyMOL 脚本以突出显示 PDB 结构中特定氨基酸残基。

  • 适用于结构生物学、酶学研究中的局部特征可视化。
  • 支持多残基选择与颜色编码自定义设置。protein-struct-viz 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 输出可直接导入 PyMOL 执行的 .pml 脚本文件。
  • 安装前请确保本地已安装兼容版本 PyMOL 软件。

SKILL.md

name
protein-struct-viz
description
Generate PyMOL scripts to highlight specific protein residues in PDB
version
1.0.0
category
Bioinfo
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
High
skill_type
Hybrid (Tool/Script + Network/API)
owner
AIPOCH
reviewer
last_updated
2026-02-06

protein-struct-viz

Generate PyMOL scripts for highlighting specific protein residues in molecular structures.

Overview

This skill creates PyMOL command scripts to visualize protein structures with specific residues highlighted using various representation styles (sticks, spheres, surface, etc.).

Usage

The skill generates .pml script files that can be executed directly in PyMOL to:

  • Load PDB structures
  • Apply custom color schemes
  • Highlight specific residues with different representation styles
  • Create publication-ready visualization settings

Input Parameters

ParameterTypeDescription
pdb_filestringPath to PDB file or PDB ID (e.g., "1abc")
residueslistList of residue specifications (chain:resnum:resname)
stylestringVisualization style: "sticks", "spheres", "surface", "cartoon"
color_schemestringColor scheme: "rainbow", "chain", "element", custom hex
output_namestringOutput filename for the generated script

Residue Specification Format

  • Format: chain:resnum:resname or resnum (for single chain)
  • Examples: A:145:ASP, B:23:LYS, 156
  • Wildcards: A:* (all residues in chain A)

Example

python scripts/main.py --pdb 1mbn --residues "A:64:HIS,A:93:VAL,A:97:LEU" --style sticks --color_scheme rainbow --output myoglobin_active_site.pml

This will generate a PyMOL script highlighting the specified residues in myoglobin's active site.

Output

Generated .pml script includes:

  1. Structure loading commands
  2. Background and lighting settings
  3. Global representation settings
  4. Specific residue highlighting
  5. View optimization commands
  6. Optional: ray tracing for high-quality images

References

See references/ directory for:

  • PyMOL command reference
  • Color palette templates
  • Example scripts for common visualization tasks

Technical Difficulty

Medium - requires understanding of PyMOL scripting syntax and protein structure concepts.

Dependencies

  • PyMOL (installed separately)
  • Python 3.7+
  • No Python package dependencies (generates plain text scripts)

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython scripts with toolsHigh
Network AccessExternal API callsHigh
File System AccessRead/write dataMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureData handled securelyMedium

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] API requests use HTTPS only
  • [ ] Input validated against allowed patterns
  • [ ] API timeout and retry mechanisms implemented
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no internal paths exposed)
  • [ ] Dependencies audited
  • [ ] No exposure of internal service architecture

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:

- Performance optimization - Additional feature support

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.08%
按下载量换算984

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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