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BytesAgain β€Ί Skills β€Ί Grant Gantt Chart Gen
πŸ¦€ ClawHub

Grant Gantt Chart Gen

by @aipoch-ai

Create project timeline visualizations for grant proposals

Versionv0.1.0
Downloads631
#data#legal
TERMINAL
clawhub install grant-gantt-chart-gen

πŸ“– About This Skill

name: grant-gantt-chart-gen description: Create project timeline visualizations for grant proposals version: 1.0.0 category: Grant tags: [] author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'

Grant Gantt Chart Generator

Create project timeline visualizations for grant proposals.

Usage

python scripts/main.py --milestones milestones.csv --duration 36 --output gantt.png

Parameters

| Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | --milestones | string | - | Yes | Path to milestone data file (CSV) | | --duration | int | 36 | No | Project duration in months | | --start-date | string | - | No | Project start date (YYYY-MM-DD) | | --output, -o | string | gantt.png | No | Output file path | | --format | string | png | No | Output format (png, pdf, svg) |

Features

  • Timeline visualization
  • Milestone markers
  • Task dependencies
  • Personnel allocation
  • Quarterly breakdown

    • Output

  • Gantt chart image
  • Timeline data (CSV)
  • Milestone summary

    • 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 β†’ Expected output 2. Edge Case: Invalid input β†’ Graceful error handling 3. Performance: Large dataset β†’ Acceptable processing time

    Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • - Performance optimization - Additional feature support

    πŸ’‘ Examples

    python scripts/main.py --milestones milestones.csv --duration 36 --output gantt.png

    βš™οΈ Configuration

    No additional Python packages required.