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Synthetic Bio Circuit Designer

通过本地 Python 脚本按指定类型生成合成生物学基因线路设计,支持双稳态 toggle 开关与 repressilator 振荡器,可输出线路设计、组件清单与预期行为;未说明具体模拟算法、参数校验和错误处理细节。

aipoch-ai
aipoch-ai
热度 41.56
最近更新 2026-05-11 17:39:00
分类:数据依赖:代码执行 / 读写文件应用场景:研究 / 数据处理

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 synthetic-bio-circuit-designer
Metadata
name
synthetic-bio-circuit-designer
description
Design gene circuits for synthetic biology applications
version
1.0.0
category
Bioinfo
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

Synthetic Bio Circuit Designer

Design and simulate gene circuits for synthetic biology.

Usage

python scripts/main.py --type toggle --p1 P1 --p2 P2
python scripts/main.py --type oscillator

Circuit Types

  • Toggle switch: Bistable genetic switch
  • Oscillator: Repressilator circuit

Output

  • Circuit design
  • Component list
  • Expected behavior

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