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Wb Troubleshooter

该 Skill 针对 Western Blot 的高背景、无信号、多带和拖尾等症状,结合症状与抗体类型输出系统化排查步骤、可能原因排序及解决方案建议;不涉及外部网络调用,也不包含图像定量或湿实验操作执行。

lyla0921
lyla0921
热度 80.46
最近更新 2026-05-11 17:31:20
分类:知识依赖:代码执行 / 读写文件应用场景:研究 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add wb-troubleshooter
Metadata
name
wb-troubleshooter
description
Western Blot troubleshooting guide with step-by-step solutions
version
1.0.0
category
Wet Lab
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

WB Troubleshooter

Western Blot problem diagnosis and solutions.

Use Cases

  • High background troubleshooting
  • No signal diagnosis
  • Multiple bands resolution
  • Band smearing fixes

Parameters

  • symptom: Problem description
  • antibody_type: Primary/Secondary

Returns

  • Systematic troubleshooting steps
  • Likely causes ranked
  • Solution recommendations

Example

Input: "High background" Output: Check blocking buffer → antibody concentration → wash stringency

Risk Assessment

Risk Indicator Assessment Level
Code Execution Python/R scripts executed locally Medium
Network Access No external API calls Low
File System Access Read input files, write output files Medium
Instruction Tampering Standard prompt guidelines Low
Data Exposure Output files saved to workspace Low

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated (no ../ traversal)
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized (no stack traces exposed)
  • Dependencies audited

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