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csvglow
by
Ratnaditya-J
· GitHub ↗
· v0.1.0
334
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Install in OpenClaw
/install csvglow
Description
Generate beautiful interactive HTML dashboards from CSV/Excel files with smart insights, auto-detected charts, correlations, and statistics.
README (SKILL.md)
csvglow
Generate a beautiful, interactive HTML dashboard from any CSV or Excel file. Auto-detects column types and relationships, generates smart multi-column insights, histograms, bar charts, cross-analysis crosstabs, time series, correlation heatmaps, scatter plots, and a sortable data table — all in a single self-contained HTML file with a dark gradient theme.
Use this skill when the user wants to:
- Visualize a CSV or Excel file
- Create a dashboard from tabular data
- Explore or analyze a dataset visually
- Generate charts from a spreadsheet
- Get insights about their data
Usage
csvglow \x3Cfile> # Generate dashboard and open in browser
csvglow data.csv # CSV file
csvglow report.xlsx # Excel file
csvglow data.csv -o dashboard.html # Custom output path
csvglow data.csv --no-open # Don't auto-open browser
What it generates
- Smart insights: Multi-column narrative analysis that cross-references metrics (e.g. "Gadget Y has the highest discount yet lowest revenue despite lowest cost — consider discontinuing")
- Summary stats: Row count, column count, data types, missing values
- Numeric columns: Histograms with stats sidebar (mean, median, std, quartiles, outlier count)
- Categorical columns: Gradient bar charts of top values
- Cross analysis: Automatic categorical x numeric crosstabs with overall mean lines
- Date columns: Time series line charts with area fill
- Correlation heatmap: Auto-detected correlations between numeric columns
- Scatter plots: Auto-generated for highly correlated pairs (|r| > 0.7)
- Data table: Sortable, filterable preview of first 1000 rows
- Copy button: Each chart has a "Copy" button for pasting into slide decks
Notes
- Output is a self-contained HTML file — no server, no CDN, works offline
- Supports CSV, TSV, XLS, and XLSX files
- Auto-detects delimiters and encodings
- Large files (100k+ rows) are smart-sampled for visualizations while keeping full stats
- Also available as an MCP server:
csvglow --mcp
Usage Guidance
This skill is a thin wrapper that expects you to have the csvglow CLI installed. Before installing or running it: 1) Verify the csvglow binary's source (prefer official releases, package managers, or signed releases on the GitHub repo) to avoid installing malicious binaries. 2) Do not run the '--mcp' or any server mode unless you understand and trust it — server mode may expose data over the network. 3) When generating dashboards, the tool will read local CSV/Excel files (as intended); avoid feeding sensitive or confidential data unless you trust the binary and its provenance. 4) If you want stronger assurance, inspect the upstream repo code and release artifacts or run the CLI in a sandboxed environment first.
Capability Analysis
Type: OpenClaw Skill
Name: csvglow
Version: 0.1.0
The skill bundle is benign. It describes a legitimate data visualization tool (`csvglow`) that generates HTML dashboards from CSV/Excel files. The `SKILL.md` clearly outlines its purpose and usage, requiring the `csvglow` binary to be present. There are no instructions for prompt injection against the agent, no signs of data exfiltration, malicious execution, persistence mechanisms, or obfuscation within the provided files. The skill's functionality involves local file processing, which is consistent with its stated purpose.
Capability Assessment
Purpose & Capability
Name/description match the declared requirement: the skill simply delegates to a 'csvglow' CLI to generate HTML dashboards from CSV/Excel files. The required binary is proportional to the stated purpose.
Instruction Scope
SKILL.md instructs the agent to run the csvglow CLI on user files and optionally open the generated HTML. That stays within the described purpose. One noteworthy instruction: csvglow has an '--mcp' (server) mode mentioned — running that would start a network service and could expose data beyond a local HTML output, so it expands the runtime scope and should be used with caution.
Install Mechanism
There is no install spec in the skill (instruction-only). That reduces surface risk in the skill itself, but it means the user/agent must obtain the csvglow binary externally. The SKILL.md/homepage points to a GitHub repo — verify releases and checksums before installing from third-party sources.
Credentials
No environment variables, credentials, or config paths are requested. This is proportionate for a local data-visualization CLI.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills. Autonomous invocation is allowed (platform default) but not an additional privilege here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install csvglow - After installation, invoke the skill by name or use
/csvglow - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release
Metadata
Frequently Asked Questions
What is csvglow?
Generate beautiful interactive HTML dashboards from CSV/Excel files with smart insights, auto-detected charts, correlations, and statistics. It is an AI Agent Skill for Claude Code / OpenClaw, with 334 downloads so far.
How do I install csvglow?
Run "/install csvglow" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is csvglow free?
Yes, csvglow is completely free (open-source). You can download, install and use it at no cost.
Which platforms does csvglow support?
csvglow is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created csvglow?
It is built and maintained by Ratnaditya-J (@ratnaditya-j); the current version is v0.1.0.
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