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Agent skill · Audited from source

query

skill · duckdb/duckdb-skillsMIT licenceAudited 24 Oct 2026 · source eaf479591fd1

★ 610pushed 184 days ago
✓SAFEGrade B · 89/100 · 24 Oct 2026 · eaf4795
610repo stars · whole duckdb/duckdb-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit eaf479591fd1 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.

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Cite this page

ModelsAtlas. “query (duckdb/duckdb-skills)”. Retrieved 24 Oct 2026. https://modelsatlas.com/skills/duckdb/query

Trust audit

Audit 0.4.1 · source read 24 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha eaf479591fd1 · 24 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherduckdb GitHub organizationOwner of the repository this skill is read from
  • Source folderduckdb/duckdb-skills/skills/queryThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdicteaf479591fd1A new audit runs when the source changes
  • Repository statusNot archivedLast push 184 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.

---
name: query
description: >
  Run SQL queries against the attached DuckDB database or ad-hoc against files.
  Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
argument-hint: <SQL or question> [--file path]
allowed-tools: Bash
---

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:

```bash
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:

```bash
duckdb -init "$STATE_DIR/state.sql" -c "SHOW DATABASES;"
```

Now determine the mode:

- **Ad-hoc mode** if: the `--file` flag is present, or the SQL references file paths/literals (e.g. `FROM 'data.csv'`), or `STATE_DIR` is empty.
- **Session mode** if: `STATE_DIR` is 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

```bash
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:

```bash
duckdb -init "$STATE_DIR/state.sql" -csv -c "
SELECT table_name FROM duckdb_tables() ORDER BY table_name;
"
```

Then for relevant tables:

```bash
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.

**Session mode** — check row counts for the tables involved:

```bash
duckdb -init "$STATE_DIR/state.sql" -csv -c "
SELECT table_name, estimated_size, column_count
FROM duckdb_tables()
WHERE table_name IN ('<table1>', '<table2>');
"
```

**Ad-hoc mode** — probe the source:

```bash
duckdb :memory: -csv -c "
SET allowed_paths=['FILE_PATH'];
SET enable_external_access=false;
SET allow_persistent_secrets=false;
SET lock_configuration=true;
SELECT count() AS row_count FROM 'FILE_PATH';
"
```

**Evaluate**:
- If the query already has a `LIMIT`, `count()`, or other aggregation that bounds the output -> safe, proceed.
- If the source has **>1M rows** and the query has no LIMIT or aggregation -> tell the user:
  *"This query would return a very large result set. Displaying it here would consume a lot of tokens and increase cost. I'd recommend adding `LIMIT 1000` or an aggregation to keep the output manageable."*
  Ask for confirmation before running as-is.
- If the data size is **>10 GB** -> additionally warn:
  *"This table is over 10 GB — the query may take a while to complete."*
  Proceed if the user confirms.

Skip this step for queries that are intrinsically bounded (e.g. `DESCRIBE`, `SUMMARIZE`, aggregations, `count()`).

## Step 5 — Execute the query

**Ad-hoc mode** (sandboxed — only the referenced file is accessible):

```bash
duckdb :memory: -csv <<'SQL'
SET allowed_paths=['FILE_PATH'];
SET enable_external_access=false;
SET allow_persistent_secrets=false;
SET lock_configuration=true;
<QUERY>;
SQL
```

Replace `FILE_PATH` with the actual file path extracted from the query or `--file` argument.
If multiple files are referenced, include all paths in the `allowed_paths` list.

**Session mode** (user-trusted database):

```bash
duckdb -init "$STATE_DIR/state.sql" -csv -c "<QUERY>"
```

For multi-line queries, use a heredoc with `-init`:

```bash
duckdb -init "$STATE_DIR/state.sql" -csv <<'SQL'
<QUERY>;
SQL
```

Always use heredocs (`<<'SQL'`) for multi-line queries to avoid shell quoting issues.

## Step 6 — Handle errors

- **Syntax error**: show the error, suggest a corrected query, and re-run.
- **Missing extension** (e.g. `Extension "X" not loaded`): delegate to `/duckdb-skills:install-duckdb <ext>`, then retry.
- **Table not found** (session mode): list available tables with `FROM duckdb_tables()` and suggest corrections.
- **File not found** (ad-hoc mode): use `find "$PWD" -name "<filename>" 2>/dev/null` to locate the file and suggest the corrected path.
- **Persistent or unclear DuckDB error**: use `/duckdb-skills:duckdb-docs <error message or relevant keywords>` to search the documentation for guidance, then apply the fix and retry.

## Step 7 — Present results

Show the query output to the user. If the result has more than 100 rows, note the truncation and suggest adding `LIMIT` to the query.

For natural language questions, also provide a brief interpretation of the results.

---

## DuckDB Friendly SQL Reference

When generating SQL, prefer these idiomatic DuckDB constructs:

### Compact clauses
- **FROM-first**: `FROM table WHERE x > 10` (implicit `SELECT *`)
- **GROUP BY ALL**: auto-groups by all non-aggregate columns
- **ORDER BY ALL**: orders by all columns for deterministic results
- **SELECT * EXCLUDE (col1, col2)**: drop columns from wildcard
- **SELECT * REPLACE (expr AS col)**: transform a column in-place
- **UNION ALL BY NAME**: combine tables with different column orders
- **Percentage LIMIT**: `LIMIT 10%` returns a percentage of rows
- **Prefix aliases**: `SELECT x: 42` instead of `SELECT 42 AS x`
- **Trailing commas** allowed in SELECT lists

### Query features
- **c

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit eaf4795

Download folder ↗
git clone https://github.com/duckdb/duckdb-skills
git -C duckdb-skills checkout eaf479591fd1

The author documents no install command, so this uses the repository directly. Our verdict covers commit eaf479591fd1 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source eaf479591fd1

Similar skills

Questions about query

Is query safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can query access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (eaf479591fd1), read on 2026-10-24. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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