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Install in OpenClaw
/install grant-gantt-chart-gen
Description
Create project timeline visualizations for grant proposals
README (SKILL.md)
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
- 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 skill appears to be a simple local Gantt generator, but the documentation and the actual script disagree in important ways. Before installing or running it: (1) Ask the author to fix SKILL.md so parameters, input format, and output formats match the code (CSV vs JSON, png/pdf/svg vs ascii/mermaid/json). (2) Treat any untrusted input file path carefully — run the script in a sandboxed workspace to avoid accidental overwrites. (3) If you need image output, verify or request the implementation that actually renders images (the current script does not). (4) Request input path validation and restricted output directory behavior to avoid path traversal or accidental writes. Given these mismatches, do not trust the skill for production use until the documentation and behavior are reconciled and basic input validation is added.
Capability Assessment
Purpose & Capability
The SKILL.md promises image outputs (png, pdf, svg), CSV milestone input, and a CLI usage example producing a gantt.png, but scripts/main.py only emits ASCII, Mermaid syntax, or JSON and expects a JSON milestones file (or defaults). The documentation and parameter table do not match the script's actual capabilities, which is disproportionate and misleading.
Instruction Scope
Both SKILL.md and the script operate on local files only (read input milestones, write output). The script does not perform network access or request credentials. However SKILL.md's usage and features (image generation, CSV input) are inconsistent with the code. The script will open any path supplied for --milestones and will write to any --output path without validation, which could lead to unintended file writes if a user supplies paths maliciously or accidentally.
Install Mechanism
No install spec and no external packages or binaries required; the script uses only Python standard library modules, so there is low install-related risk.
Credentials
No environment variables, secrets, or credentials are requested. The skill does not require unrelated cloud or system credentials — this is proportionate to its stated local-file chart generation purpose.
Persistence & Privilege
The skill is not always-enabled and doesn't modify other skills or system-wide settings. It only writes its own specified output file; there is no persistent privileged presence requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install grant-gantt-chart-gen - After installation, invoke the skill by name or use
/grant-gantt-chart-gen - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of Grant Gantt Chart Generator.
- Generate Gantt charts from milestone CSV data for grant proposals.
- Supports timeline visualization, milestone markers, task dependencies, personnel allocation, and quarterly breakdown.
- Flexible parameters for duration, start date, and output format (png, pdf, svg).
- Outputs chart images, timeline data (CSV), and milestone summaries.
- Includes a risk and security assessment, along with basic evaluation and test guidelines.
Metadata
Frequently Asked Questions
What is Grant Gantt Chart Gen?
Create project timeline visualizations for grant proposals. It is an AI Agent Skill for Claude Code / OpenClaw, with 173 downloads so far.
How do I install Grant Gantt Chart Gen?
Run "/install grant-gantt-chart-gen" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Grant Gantt Chart Gen free?
Yes, Grant Gantt Chart Gen is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Grant Gantt Chart Gen support?
Grant Gantt Chart Gen is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Grant Gantt Chart Gen?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v0.1.0.
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