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 read-filegit 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/read-file)<a href="https://agentmods.dev/skills/duckdb/duckdb-skills/read-file"><img src="https://agentmods.dev/badge/skills/duckdb/duckdb-skills/read-file/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/read-file"><img src="https://agentmods.dev/badge/skills/duckdb/duckdb-skills/read-file.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
- 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 | $0.00062 | $0.01028 |
| Opus 5 | $0.00031 | $0.00514 |
| Sonnet 5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
read-file 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are helping the user read and analyze a data file using DuckDB.
Filename given: $0
Question: ${1:-describe the data}
Step 1 — Read it
RESOLVED_PATH is $0. If the user gave a bare filename (no /), resolve it to a full path with find first.
Run a single DuckDB command that defines the read_any macro inline and reads the file.
For remote files, prepend the necessary LOAD/SECRET before the macro:
| Protocol | Prepend |
|---|---|
https:// / http:// |
LOAD httpfs; |
s3:// |
LOAD httpfs; CREATE SECRET (TYPE S3, PROVIDER credential_chain); |
gs:// / gcs:// |
LOAD httpfs; CREATE SECRET (TYPE GCS, PROVIDER credential_chain); |
az:// / azure:// / abfss:// |
LOAD httpfs; LOAD azure; CREATE SECRET (TYPE AZURE, PROVIDER credential_chain); |
For local files, no prefix needed.
duckdb -csv -c "
CREATE OR REPLACE MACRO read_any(file_name) AS TABLE
WITH json_case AS (FROM read_json_auto(file_name))
, csv_case AS (FROM read_csv(file_name))
, parquet_case AS (FROM read_parquet(file_name))
, avro_case AS (FROM read_avro(file_name))
, blob_case AS (FROM read_blob(file_name))
, spatial_case AS (FROM st_read(file_name))
, excel_case AS (FROM read_xlsx(file_name))
, sqlite_case AS (FROM sqlite_scan(file_name, (SELECT name FROM sqlite_master(file_name) LIMIT 1)))
, ipynb_case AS (
WITH nb AS (FROM read_json_auto(file_name))
SELECT cell_idx, cell.cell_type,
array_to_string(cell.source, '') AS source,
cell.execution_count
FROM nb, UNNEST(cells) WITH ORDINALITY AS t(cell, cell_idx)
ORDER BY cell_idx
)
FROM query_table(
CASE
WHEN file_name ILIKE '%.json' OR file_name ILIKE '%.jsonl' OR file_name ILIKE '%.ndjson' OR file_name ILIKE '%.geojson' OR file_name ILIKE '%.geojsonl' OR file_name ILIKE '%.har' THEN 'json_case'
WHEN file_name ILIKE '%.csv' OR file_name ILIKE '%.tsv' OR file_name ILIKE '%.tab' OR file_name ILIKE '%.txt' THEN 'csv_case'
WHEN file_name ILIKE '%.parquet' OR file_name ILIKE '%.pq' THEN 'parquet_case'
WHEN file_name ILIKE '%.avro' THEN 'avro_case'
WHEN file_name ILIKE '%.xlsx' OR file_name ILIKE '%.xls' THEN 'excel_case'
WHEN file_name ILIKE '%.shp' OR file_name ILIKE '%.gpkg' OR file_name ILIKE '%.fgb' OR file_name ILIKE '%.kml' THEN 'spatial_case'
WHEN file_name ILIKE '%.ipynb' THEN 'ipynb_case'
WHEN file_name ILIKE '%.db' OR file_name ILIKE '%.sqlite' OR file_name ILIKE '%.sqlite3' THEN 'sqlite_case'
ELSE 'blob_case'
END
);
DESCRIBE FROM read_any('RESOLVED_PATH');
SELECT count(*) AS row_count FROM read_any('RESOLVED_PATH');
FROM read_any('RESOLVED_PATH') LIMIT 20;
"
If this fails:
duckdb: command not found→ invoke/duckdb-skills:install-duckdband retry.- Missing extension (e.g. spatial files, xlsx, sqlite) → retry with
INSTALL spatial; LOAD spatial;orINSTALL sqlite_scanner; LOAD sqlite_scanner;prepended before the macro. - Wrong reader / parse error → use the correct
read_*function directly instead ofread_any.
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.
- 10d ago First seen · 82 lines · 62 tokens per session scan A ab75a9963471
read-file is a skill published in the GitHub repository duckdb/duckdb-skills (540 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 1,028 once invoked, about $0.0003 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 2026-08-30.
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