Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add G1Joshi/Agent-Skills --skill duckdbgit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/g1joshi/agent-skills/duckdb)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/duckdb"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/duckdb/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/duckdb"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/duckdb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.00412 |
| Opus 5 | $0.00009 | $0.00206 |
| Sonnet 5 | $0.00003 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
duckdb scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
DuckDB
DuckDB is "SQLite for Analytics". It is an in-process SQL OLAP database. It runs inside your application process and is blazing fast for analytical queries on local files (Parquet, CSV, JSON).
When to Use
- Local Analytics: Analyze millions of rows on your laptop in seconds.
- Data Engineering: Process data in Python/R pipelines (replacement for Pandas).
- Serverless Data Lake: Query S3 parquet files directly via Lambda without a running warehouse.
Quick Start (Python)
import duckdb
# Query local CSV directly
duckdb.sql("SELECT avg(price) FROM 'sales.csv' WHERE region='US'").show()
# Connect to S3
duckdb.sql("INSTALL httpfs; LOAD httpfs;")
duckdb.sql("SELECT count(*) FROM 's3://my-bucket/data.parquet'")
Core Concepts
Vectorized Execution
Standard DBs process row-by-row. DuckDB processes batches of columns (Vectors), utilizing modern CPU SIMD instructions.
Universal Format Reader
Can query CSV, JSON, Parquet, Arrow, SQLite, and Postgres tables as if they were local tables.
Zero Dependencies
Single binary/library.
Best Practices (2025)
Do:
- Use Parquet: It is the native language of analytics. DuckDB + Parquet is incredible.
- Replace Pandas: For datasets larger than RAM, DuckDB works (Disk spilling) where Pandas crashes.
- Use explicitly typed SQL: DuckDB’s SQL dialect is very friendly and standard (Postgres-compatible).
Don't:
- Don't use for Multi-User OLTP: It handles concurrency poorly (single writer). Use Postgres for that. Use DuckDB for analysis.
References
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 58 lines · 17 tokens per session scan A 1cd4e6e41ec9
duckdb is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 412 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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