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Facs Gating Viz Style

该 Skill 通过本地 Python 脚本读取 FCS 流式细胞术数据文件,按指定风格(contour、density、dot)生成适合发表的细胞门控可视化图,并将输出文件写入工作区。通过命令行参数调用,声明不需要额外的 Python 依赖包,也不进行外部网络调用。

aipoch-ai
aipoch-ai
热度 79.72
最近更新 2026-05-11 17:34:12
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 研究

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 facs-gating-viz-style
Metadata
name
facs-gating-viz-style
description
Beautify FACS gating plots for publication
version
1.0.0
category
Visual
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

FACS Gating Viz Style

Beautify flow cytometry gating plots for publication.

Parameters

Parameter Type Default Required Description
--data, -d string - Yes FCS file path
--style, -s string contour No Plot style (contour, density, dot)

Usage

python scripts/main.py --data fcs_file.fcs --style contour

Features

  • Contour plots
  • Density visualization
  • Publication-ready styling

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