Chartmaker

Visualize data with bar charts, sparklines, and progress bars in terminal. Use when plotting metrics, rendering inline charts, or transforming data.

Security Scan

The skill's code and runtime instructions match its description: a local terminal logging/visualization utility that writes/reads files under ~/.local/share/chartmaker and does not request credentials or make network calls.

Purpose & Capability

Name/description (terminal charts, logging, exports) align with what is implemented: a Bash CLI that logs entries by category, searches, shows stats, and exports data. No unrelated capabilities (cloud access, system config modifications) are requested.

Instruction Scope

SKILL.md and the script are scoped to local logging and export behavior. The script only reads/writes files under $HOME/.local/share/chartmaker, and uses common CLI tools (grep, tail, wc, du). It does not reference other system paths, secrets, or external endpoints.

Install Mechanism

There is no install spec (instruction-only) which is low risk. A single included Bash script implements behavior; no downloads, package installs, or archive extraction occur during install.

Credentials

The skill requests no environment variables, credentials, or config paths. The script uses only $HOME to place its data directory, which is proportional to a local logging tool.

Persistence & Privilege

The skill is not flagged always:true and does not modify other skills or system-wide config. It stores its own logs/exports under the user's home directory only.

Assessment

This skill appears coherent and local-only, but it will create and write files to ~/.local/share/chartmaker (logs, history, exports). Before installing or using it: review the script if you have sensitive data (to avoid accidentally logging secrets), inspect the export files prior to sharing, and be aware the JSON export implementation has a minor formatting bug (may produce invalid JSON). If you prefer, run it in an isolated account/container first. Because it can be invoked by the agent, confirm you trust the agent to run local commands that read/write your home directory.

A data toolkit for chart-related data logging and export. Record, transform, query, and export data entries — all from the command line, all stored locally.

Commands

Command	What it does
chartmaker ingest <input>	Log a new ingest entry (no args = show recent entries)
chartmaker transform <input>	Log a transform entry
chartmaker query <input>	Log a query entry
chartmaker filter <input>	Log a filter entry
chartmaker aggregate <input>	Log an aggregate entry
chartmaker visualize <input>	Log a visualize entry
chartmaker export <input>	Log an export entry (see also export with format below)
chartmaker sample <input>	Log a sample entry
chartmaker schema <input>	Log a schema entry
chartmaker validate <input>	Log a validate entry
chartmaker pipeline <input>	Log a pipeline entry
chartmaker profile <input>	Log a profile entry
chartmaker stats	Show summary statistics across all log files
chartmaker export <fmt>	Export all data to json, csv, or txt format
chartmaker search <term>	Search all entries for a term (case-insensitive)
chartmaker recent	Show the 20 most recent activity log entries
chartmaker status	Health check — version, entry count, disk usage
chartmaker help	Show usage and available commands
chartmaker version	Print version string

Each logging command (ingest, transform, query, etc.) accepts free-form text. Called without arguments, it shows the 20 most recent entries for that category.

Data Storage

All data is stored locally in ~/.local/share/chartmaker/. Each command category writes to its own .log file, and all actions are recorded in history.log with timestamps.

Requirements

• Bash 4+

When to Use

• Logging chart and visualization data points from the command line
• Tracking data transformations and schema changes over time
• Exporting accumulated entries to JSON, CSV, or plain text for reports
• Searching across all logged entries to find specific visualization data
• Checking health and statistics of your local chart data store

Examples

# Log visualization data
chartmaker ingest "Monthly revenue: Jan=10k Feb=12k Mar=15k"

# Transform and record a data step
chartmaker transform "Normalized Q1 values to percentage scale"

# Search across all logs
chartmaker search "revenue"

# Export everything to CSV
chartmaker export csv

# View recent activity
chartmaker recent

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