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Flow Panel Designer

Design multicolor flow cytometry panels minimizing spectral overlap
设计多色流式细胞术面板,最小化光谱重叠
aipoch-ai aipoch-ai 来源
未分类 clawhub v0.1.0 1 版本 100000 Key: 无需
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概述

Flow Panel Designer

Fluorophore selection optimizer.

Use Cases

  • Multicolor panel design (10+ colors)
  • Compensation planning
  • Marker-fluorophore matching
  • Spectral flow setup

Parameters

ParameterTypeDefaultRequiredDescription
-------------------------------------------------
--markersstring-YesComma-separated target antigens
--instrumentstring-NoCytometer model
--n-colorsint8NoNumber of fluorophores
--output, -ostringstdoutNoOutput file path

Returns

  • Optimal fluorophore assignments
  • Spillover predictions
  • Compensation control list
  • Panel validation checks

Example

T-cell panel: CD3-BV421, CD4-FITC, CD8-PE...

Risk Assessment

Risk IndicatorAssessmentLevel
-----------------------------------
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

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

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-05-02 16:18 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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