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Install in OpenClaw
/install flow-panel-designer
Description
Design multicolor flow cytometry panels minimizing spectral overlap
README (SKILL.md)
Flow Panel Designer
Fluorophore selection optimizer.
Use Cases
- Multicolor panel design (10+ colors)
- Compensation planning
- Marker-fluorophore matching
- Spectral flow setup
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--markers |
string | - | Yes | Comma-separated target antigens |
--instrument |
string | - | No | Cytometer model |
--n-colors |
int | 8 | No | Number of fluorophores |
--output, -o |
string | stdout | No | Output 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 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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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
Usage Guidance
This package is small and the Python script appears to implement the panel-design logic without network access or secret use — that part is fine. However, the SKILL.md and the code disagree: the doc lists an --output parameter and file I/O concerns (path validation, ../ traversal protections) that the script does not implement. Before installing or running: (1) Confirm whether you need file output support — if so, request an updated script or SKILL.md that matches; (2) Run the script in a sandbox or isolated environment (it will execute locally) to validate behavior with non-sensitive test inputs; (3) If you plan to add file write/read features, ensure path sanitization and output-directory constraints are implemented to avoid path traversal; (4) If you will allow autonomous agent invocation, be aware that the agent could run the script locally — ensure the runtime environment restricts file system access as needed. The inconsistencies are likely sloppy/documentation issues rather than malicious, but they should be resolved before trusting the skill for production or sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: flow-panel-designer
Version: 0.1.0
The flow-panel-designer skill is a legitimate scientific utility for optimizing multicolor flow cytometry panels. The core logic in scripts/main.py is purely algorithmic, calculating spectral overlaps based on a hardcoded dictionary of fluorochromes and providing marker assignments without any network activity, sensitive file access, or risky system calls. The SKILL.md documentation is transparent about its functionality and contains no evidence of prompt injection or malicious instructions.
Capability Assessment
Purpose & Capability
The skill's name and description (flow cytometry panel design) match the included Python tool: FlowPanelDesigner implements fluorochrome data, overlap calculations, and a simple assignment heuristic. This is coherent for the stated purpose. However, SKILL.md documents parameters (e.g., --output / -o) and behavior (reading input files, writing output files) that the script does not implement, creating a mismatch between documentation and code.
Instruction Scope
SKILL.md refers to file system access, input-file path validation, and an --output parameter; the shipped script only reads a --markers CLI arg (required) and prints results to stdout. Because the documentation implies file read/write and path validation but the code lacks that functionality, an agent following the prose could attempt actions not covered by the code (for example, writing files or validating paths). Also the security checklist mentions preventing ../ traversal, but no code enforces any file path handling because the script does not accept file paths — this is a documentation/code inconsistency that could lead to unsafe assumptions.
Install Mechanism
No install specification and no external dependencies: the Python script uses only the standard library (argparse, itertools). No network downloads or third-party packages are requested, which is proportionate for this utility and low risk from an installation perspective.
Credentials
The skill does not request environment variables, credentials, or config paths. The code contains no network calls or secret-handling logic. This is proportionate to a local data-processing tool.
Persistence & Privilege
The skill does not request persistent or elevated privileges (always: false). There is no install step modifying agent/system configuration and no evidence it would persist beyond running the script.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install flow-panel-designer - After installation, invoke the skill by name or use
/flow-panel-designer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
flow-panel-designer 0.1.0
- Initial release: design multicolor flow cytometry panels with minimized spectral overlap.
- Supports marker-fluorophore matching, compensation planning, and panel validation.
- Command-line options for target antigens, instrument, color count, and output path.
- Provides spillover predictions and compensation control recommendations.
- Security and risk practices outlined; no extra Python packages required.
Metadata
Frequently Asked Questions
What is Flow Panel Designer?
Design multicolor flow cytometry panels minimizing spectral overlap. It is an AI Agent Skill for Claude Code / OpenClaw, with 186 downloads so far.
How do I install Flow Panel Designer?
Run "/install flow-panel-designer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Flow Panel Designer free?
Yes, Flow Panel Designer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Flow Panel Designer support?
Flow Panel Designer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Flow Panel Designer?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v0.1.0.
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