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 duckdb/duckdb-skills --skill querygit clone --depth 1 https://github.com/duckdb/duckdb-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/duckdb/duckdb-skills/query)<a href="https://agentmods.dev/skills/duckdb/duckdb-skills/query"><img src="https://agentmods.dev/badge/skills/duckdb/duckdb-skills/query/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/duckdb/duckdb-skills/query"><img src="https://agentmods.dev/badge/skills/duckdb/duckdb-skills/query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00035 | $0.02058 |
| Opus 5.5 | $0.00014 | $0.00823 |
| Sonnet 5.5 | $0.00007 | $0.00412 |
| Haiku 4.5 | $0.00003 | $0.00206 |
Grade A, and why
query 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- query — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are helping the user query data using DuckDB.
Input: $@
Follow these steps in order.
Step 1 — Resolve state and determine the mode
Look for an existing state file in either location:
STATE_DIR=""
test -f .duckdb-skills/state.sql && STATE_DIR=".duckdb-skills"
PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")"
PROJECT_ID="$(echo "$PROJECT_ROOT" | tr '/' '-')"
test -f "$HOME/.duckdb-skills/$PROJECT_ID/state.sql" && STATE_DIR="$HOME/.duckdb-skills/$PROJECT_ID"
If found, verify the databases it references are still accessible:
duckdb -init "$STATE_DIR/state.sql" -c "SHOW DATABASES;"
Now determine the mode:
- Ad-hoc mode if: the
--fileflag is present, or the SQL references file paths/literals (e.g.FROM 'data.csv'), orSTATE_DIRis empty. - Session mode if:
STATE_DIRis set and the input references table names, is natural language, or is SQL without file references.
If no state file exists and no file is referenced, fall back to ad-hoc mode against :memory: — the user must reference files directly in their SQL.
If the state file exists but any ATTACH in it fails, warn the user and fall back to ad-hoc mode.
Step 2 — Check DuckDB is installed
command -v duckdb
If not found, delegate to /duckdb-skills:install-duckdb and then continue.
Step 3 — Generate SQL if needed
If the input is natural language (not valid SQL), generate SQL using the Friendly SQL reference below.
In session mode, first retrieve the schema to inform query generation:
duckdb -init "$STATE_DIR/state.sql" -csv -c "
SELECT table_name FROM duckdb_tables() ORDER BY table_name;
"
Then for relevant tables:
duckdb -init "$STATE_DIR/state.sql" -csv -c "DESCRIBE <table_name>;"
Use the schema context and the Friendly SQL reference to generate the most appropriate query.
Step 4 — Estimate result size
Before executing, estimate whether the query could produce a very large result that would consume excessive tokens when returned to this conversation.
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.
- 1mo ago First seen · 209 lines · 35 tokens per session scan A c66aedb3a0c6
query is a skill published in the GitHub repository duckdb/duckdb-skills (613 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 2,058 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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