Duckdb Cli
DuckDB CLI specialist for SQL analysis, data processing and file conversion. Use for SQL queries, CSV/Parquet/JSON analysis, database queries, or data conver...
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 119 · 1 current installs · 1 all-time installs
by@proxx
MIT-0
Security Scan
OpenClaw
Suspicious
high confidencePurpose & Capability
The skill's name/description match the SKILL.md content (DuckDB CLI usage, SQL, conversions). However the package declares no required binaries while every runtime example invokes the duckdb CLI — the skill implicitly requires the duckdb binary to be available but does not declare that dependency. Also _meta.json contains owner/slug values that differ from the registry metadata, which is an inconsistency in provenance.
Instruction Scope
SKILL.md contains only usage examples, CLI flags, and examples that read and write local files, stdout/stdin, and the ~/.duckdbrc config. It does not direct data to external endpoints, request unrelated credentials, or instruct the agent to scan system state beyond files the user works with. Reading/writing arbitrary local files is expected for this purpose and is documented.
Install Mechanism
This is an instruction-only skill with no install spec or code to write to disk. README suggests a manual copy into a Claude skills directory. No remote downloads or extracted archives are used.
Credentials
No environment variables, credentials, or config paths are required. The skill does reference ~/.duckdbrc (DuckDB CLI config) and common filesystem paths like /dev/stdin — appropriate for a CLI helper and not requests for secrets.
Persistence & Privilege
Skill does not request always: true and does not attempt to modify other skills or system-wide settings. It is user-invocable and can be called autonomously by the agent (platform default), which is reasonable for a helper skill.
Scan Findings in Context
[no-regex-findings] expected: The static scanner had no regex matches — expected because this is an instruction-only skill with no code files to analyze.
[missing-declared-binary] unexpected: SKILL.md repeatedly invokes the 'duckdb' CLI but the skill's metadata lists no required binaries. Users should expect the duckdb executable to be necessary; omission is an incoherence that could mislead about runtime prerequisites.
[metadata-mismatch] unexpected: _meta.json ownerId/slug differ from the registry metadata shown above (and README slug differs). This inconsistency in provenance/packaging should be investigated before trusting the skill source.
What to consider before installing
This skill is essentially documentation and examples for using the DuckDB CLI — it doesn't request secrets or install code — but check a few things before using it with sensitive data: 1) Ensure you have the duckdb binary installed and know its location (the skill assumes 'duckdb' is on PATH but does not declare it). 2) Confirm the skill's source/owner (registry metadata vs _meta.json/README show inconsistent IDs/slugs); only install from a trusted publisher. 3) Be aware the examples read/write arbitrary local files and the ~/.duckdbrc config; review that file for sensitive content before letting any automated agent run commands. 4) If you plan to run the suggested commands in an automated agent, restrict them to non-sensitive test data first. If you want higher confidence, ask the publisher to correct the declared dependencies and metadata before installing.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
DuckDB CLI Specialist
Helps with data analysis, SQL queries and file conversion via DuckDB CLI.
Quick Start
Read data files directly with SQL
# CSV
duckdb -c "SELECT * FROM 'data.csv' LIMIT 10"
# Parquet
duckdb -c "SELECT * FROM 'data.parquet'"
# Multiple files with glob
duckdb -c "SELECT * FROM read_parquet('logs/*.parquet')"
# JSON
duckdb -c "SELECT * FROM read_json_auto('data.json')"
Open persistent databases
# Create/open database
duckdb my_database.duckdb
# Read-only mode
duckdb -readonly existing.duckdb
Command Line Arguments
Output formats (as flags)
| Flag | Format |
|---|---|
-csv | Comma-separated |
-json | JSON array |
-table | ASCII table |
-markdown | Markdown table |
-html | HTML table |
-line | One value per line |
Execution arguments
| Argument | Description |
|---|---|
-c COMMAND | Run SQL and exit |
-f FILENAME | Run script from file |
-init FILE | Use alternative to ~/.duckdbrc |
-readonly | Open in read-only mode |
-echo | Show commands before execution |
-bail | Stop on first error |
-header / -noheader | Show/hide column headers |
-nullvalue TEXT | Text for NULL values |
-separator SEP | Column separator |
Data Conversion
CSV to Parquet
duckdb -c "COPY (SELECT * FROM 'input.csv') TO 'output.parquet' (FORMAT PARQUET)"
Parquet to CSV
duckdb -c "COPY (SELECT * FROM 'input.parquet') TO 'output.csv' (HEADER, DELIMITER ',')"
JSON to Parquet
duckdb -c "COPY (SELECT * FROM read_json_auto('input.json')) TO 'output.parquet' (FORMAT PARQUET)"
Convert with filtering
duckdb -c "COPY (SELECT * FROM 'data.csv' WHERE amount > 1000) TO 'filtered.parquet' (FORMAT PARQUET)"
Dot Commands
Schema inspection
| Command | Description |
|---|---|
.tables [pattern] | Show tables (with LIKE pattern) |
.schema [table] | Show CREATE statements |
.databases | Show attached databases |
Output control
| Command | Description |
|---|---|
.mode FORMAT | Change output format |
.output file | Send output to file |
.once file | Next output to file |
.headers on/off | Show/hide column headers |
.separator COL ROW | Set separators |
Queries
| Command | Description |
|---|---|
.timer on/off | Show execution time |
.echo on/off | Show commands before execution |
.bail on/off | Stop on error |
.read file.sql | Run SQL from file |
Editing
| Command | Description |
|---|---|
.edit or \e | Open query in external editor |
.help [pattern] | Show help |
Output Formats (18 available)
Data export
- csv - Comma-separated for spreadsheets
- tabs - Tab-separated
- json - JSON array
- jsonlines - Newline-delimited JSON (streaming)
Readable formats
- duckbox (default) - Pretty ASCII with unicode box-drawing
- table - Simple ASCII table
- markdown - For documentation
- html - HTML table
- latex - For academic papers
Specialized
- insert TABLE - SQL INSERT statements
- column - Columns with adjustable width
- line - One value per line
- list - Pipe-separated
- trash - Discard output
Keyboard Shortcuts (macOS/Linux)
Navigation
| Shortcut | Action |
|---|---|
Home / End | Start/end of line |
Ctrl+Left/Right | Jump word |
Ctrl+A / Ctrl+E | Start/end of buffer |
History
| Shortcut | Action |
|---|---|
Ctrl+P / Ctrl+N | Previous/next command |
Ctrl+R | Search history |
Alt+< / Alt+> | First/last in history |
Editing
| Shortcut | Action |
|---|---|
Ctrl+W | Delete word backward |
Alt+D | Delete word forward |
Alt+U / Alt+L | Uppercase/lowercase word |
Ctrl+K | Delete to end of line |
Autocomplete
| Shortcut | Action |
|---|---|
Tab | Autocomplete / next suggestion |
Shift+Tab | Previous suggestion |
Esc+Esc | Undo autocomplete |
Autocomplete
Context-aware autocomplete activated with Tab:
- Keywords - SQL commands
- Table names - Database objects
- Column names - Fields and functions
- File names - Path completion
Database Operations
Create table from file
CREATE TABLE sales AS SELECT * FROM 'sales_2024.csv';
Insert data
INSERT INTO sales SELECT * FROM 'sales_2025.csv';
Export table
COPY sales TO 'backup.parquet' (FORMAT PARQUET);
Analysis Examples
Quick statistics
SELECT
COUNT(*) as count,
AVG(amount) as average,
SUM(amount) as total
FROM 'transactions.csv';
Grouping
SELECT
category,
COUNT(*) as count,
SUM(amount) as total
FROM 'data.csv'
GROUP BY category
ORDER BY total DESC;
Join on files
SELECT a.*, b.name
FROM 'orders.csv' a
JOIN 'customers.parquet' b ON a.customer_id = b.id;
Describe data
DESCRIBE SELECT * FROM 'data.csv';
Pipe and stdin
# Read from stdin
cat data.csv | duckdb -c "SELECT * FROM read_csv('/dev/stdin')"
# Pipe to another command
duckdb -csv -c "SELECT * FROM 'data.parquet'" | head -20
# Write to stdout
duckdb -c "COPY (SELECT * FROM 'data.csv') TO '/dev/stdout' (FORMAT CSV)"
Configuration
Save common settings in ~/.duckdbrc:
.timer on
.mode duckbox
.maxrows 50
.highlight on
Syntax highlighting colors
.keyword green
.constant yellow
.comment brightblack
.error red
External Editor
Open complex queries in your editor:
.edit
Editor is chosen from: DUCKDB_EDITOR → EDITOR → VISUAL → vi
Safe Mode
Secure mode that restricts file access. When enabled:
- No external file access
- Disables
.read,.output,.import,.shetc. - Cannot be disabled in the same session
Tips
- Use
LIMITon large files for quick preview - Parquet is faster than CSV for repeated queries
read_csv_autoandread_json_autoguess column types- Arguments are processed in order (like SQLite CLI)
- WSL2 may show incorrect
memory_limitvalues on some Ubuntu versions
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