Evals / tables / Filter and clean
Take part of a table
Save the header and first 10 rows of countries.csv as top10.csv.
The task
The reference answer shows the job can be done with deft. It is not an agent run.
deft sheet extract countries.csv --range A1:B11 -o top10.csv
Input
| Name | Code |
| Afghanistan | AF |
| Albania | AL |
| Algeria | DZ |
| American Samoa | AS |
| Andorra | AD |
| Angola | AO |
| Anguilla | AI |
| Antarctica | AQ |
| Antigua and Barbuda | AG |
| Argentina | AR |
| Armenia | AM |
| Aruba | AW |
| Australia | AU |
| Austria | AT |
| Azerbaijan | AZ |
| Bahamas | BS |
| Bahrain | BH |
| Bangladesh | BD |
| Barbados | BB |
| Belarus | BY |
| Belgium | BE |
| Belize | BZ |
| Benin | BJ |
Showing 24 of 250 rows.
Reference output
| Name | Code |
| Afghanistan | AF |
| Albania | AL |
| Algeria | DZ |
| American Samoa | AS |
| Andorra | AD |
| Angola | AO |
| Anguilla | AI |
| Antarctica | AQ |
| Antigua and Barbuda | AG |
| Argentina | AR |
How a result is judged (1 check)
- csv: file = "top10.csv", rows = 11, columns = 2
Runs
CodexWithout deftPassed2026-11-07
- Time
- 7s
- New tokens
- 2.8k
- Total input
- 26.6k
- Output tokens
- 0.2k
- Commands
- 1
- Failed
- 0
Trace
I’ll locate `countries.csv` in the current directory and write its header plus first 10 data rows to `top10.csv`.
ls -l countries.csv && head -n 11 countries.csv > top10.csv && wc -l top10.csvoutput
-rw-r--r--@ 1 user staff 3835 Nov 5 21:11 countries.csv 11 top10.csvSaved the header and first 10 rows of `countries.csv` to [top10.csv](top10.csv). It contains 11 lines.
Output
| Name | Code |
| Afghanistan | AF |
| Albania | AL |
| Algeria | DZ |
| American Samoa | AS |
| Andorra | AD |
| Angola | AO |
| Anguilla | AI |
| Antarctica | AQ |
| Antigua and Barbuda | AG |
| Argentina | AR |
CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07
- Time
- 16s
- New tokens
- 5.0k
- Total input
- 71.2k
- Output tokens
- 0.5k
- Commands
- 4
- Failed
- 0
Trace
I’ll inspect the CSV and save its header plus first ten data rows to `top10.csv` in the current directory.
cat .agents/skills/deft/SKILL.mdoutput
--- name: deft description: "Use deft first for any simple, direct operation on local files, whatever the type: convert, read, extract, edit, compress, merge, split, compare or inspect. Try it before writing a script or one-liner. If unsure, run deft find; if it says no command does this, use another tool. Not for programming work: to read, write or change source code, skip it." --- # deft One local command for file jobs. Prefer it over writing Python or shell scripts. Syntax: `deft <group> <command> [inputs] [-o output] [--options]` Groups: - `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert - `image`: Resize, crop, convert, compress, filters, montage, OCR - `video`: Trim, crop, speed, convert, compress, GIF, frames (ffmpeg) - `audio`: Convert, trim, merge, fade, speed, tag, normalize (ffmpeg) - `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace - `slides`: PowerPoint: extract text, Markdown outline, PDF handout - `data`: JSON/YAML/TOML/XML: convert, query with jq syntax, merge, diff - `sheet`: Excel/CSV/ODS tables: filter, sort, join, pivot, convert - `md`: Markdown to PDF, HTML, Word, EPUB; table of contents - `html`: HTML to Markdown, text, Word, PDF; screenshots - `epub`: E-books: info, to text, Markdown and PDF - `email`: EML files: headers, text, attachments - `contact`: VCF address books: to and from CSV - `calendar`: ICS calendars: to and from CSV - `gps`: GPX and KML tracks: convert, distance and time - `youtube`: Info, downlo … 849 more characters
I’m using the local `deft` file tool for this CSV operation, as its guidance recommends for simple file tasks.
deft find "take header and first 10 rows of a CSV"output
sheet to-md sheet -> md Markdown table (first row is the header) sheet extract sheet -> sheet Take a sheet or range: --sheet, --range A1:D20 sheet dedupe sheet -> sheet Drop repeated rows, by whole row or --columns sheet filter sheet -> sheet Keep matching rows: --where "age > 30 and city = 'Oslo'" sheet transpose sheet -> sheet Swap rows and columns
deft sheet extract --helpoutput
deft sheet extract - Take a sheet or range: --sheet, --range A1:D20 Usage: deft sheet extract <sheet>... [-o <sheet|dir>] [options] In: sheet (each handled separately) Out: sheet (default <name>.extract.<ext>) Options: --sheet <text> Sheet name or number (default: first) --range <text> Cell range, e.g. B2:D10 --to <csv|xlsx|json> Output format (default csv) Common: -o --force --dry-run --json -j (deft help common) Examples: deft sheet extract people.xlsx --range A1:B2 -o part.csv deft sheet extract people.csv --range A1:A3 --to json -o names.json Result fields: rows, columns
deft sheet extract countries.csv --range A1:ZZ11 -o top10.csvoutput
ok sheet.extract countries.csv -> top10.csv 11 rows x 2 columns 0.00s
Saved the header and first 10 data rows of `countries.csv` to [top10.csv](top10.csv).
Output
| Name | Code |
| Afghanistan | AF |
| Albania | AL |
| Algeria | DZ |
| American Samoa | AS |
| Andorra | AD |
| Angola | AO |
| Anguilla | AI |
| Antarctica | AQ |
| Antigua and Barbuda | AG |
| Argentina | AR |
CodexWith deft, skill as AGENTS.mdPassed2026-11-05
- Time
- 10s
- New tokens
- 5.6k
- Total input
- 61.3k
- Output tokens
- 0.3k
- Commands
- 3
- Failed
- 0
Trace
I’ll check the CSV and use the local `deft` spreadsheet command to save the header plus the first 10 data rows as `top10.csv`.
pwd && rg --files -g 'countries.csv' -g 'top10.csv' && deft sheetoutput
countries.csv deft sheet - commands (input -> output) info sheet -> report Sheet names, rows, columns convert sheet -> sheet Change format: --to csv|xlsx|json extract sheet -> sheet Take a sheet or range: --sheet, --range A1:D20 merge sheet... -> sheet Stack tables; a shared header is kept once to-md sheet -> md Markdown table (first row is the header) More: deft sheet <command> --help
deft sheet extract --help && deft sheet info countries.csvoutput
deft sheet extract - Take a sheet or range: --sheet, --range A1:D20 Usage: deft sheet extract <sheet>... [-o <sheet|dir>] [options] In: sheet (each handled separately) Out: sheet (default <name>.extract.<ext>) Options: --sheet <text> Sheet name or number (default: first) --range <text> Cell range, e.g. B2:D10 --to <csv|xlsx|json> Output format (default csv) Common: -o --force --dry-run --json -j (deft help common) Examples: deft sheet extract people.xlsx --range A1:B2 -o part.csv deft sheet extract people.csv --range A1:A3 --to json -o names.json Result fields: rows, columns ok sheet.info countries.csv countries: 250 rows x 2 columns sheets=[{"columns":2,"name":"countries","rows":250}]deft sheet extract countries.csv --range A1:B11 -o top10.csv && head -n 11 top10.csvoutput
ok sheet.extract countries.csv -> top10.csv 11 rows x 2 columns 0.00s Name,Code Afghanistan,AF Albania,AL Algeria,DZ American Samoa,AS Andorra,AD Angola,AO Anguilla,AI Antarctica,AQ Antigua and Barbuda,AG Argentina,AR
Saved the header and first 10 data rows to [top10.csv](top10.csv).
Output
Its files were not kept in this run. The last line of the trace is its own report.
Claude Opus 5.5Without deftPassed2026-11-07
- Time
- 6s
- New tokens
- 8.3k
- Total input
- 27.8k
- Output tokens
- 0.2k
- Commands
- 0
- Failed
- 0
Trace
Output
| Name | Code |
| Afghanistan | AF |
| Albania | AL |
| Algeria | DZ |
| American Samoa | AS |
| Andorra | AD |
| Angola | AO |
| Anguilla | AI |
| Antarctica | AQ |
| Antigua and Barbuda | AG |
| Argentina | AR |
Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07
- Time
- 17s
- New tokens
- 11.0k
- Total input
- 76.7k
- Output tokens
- 0.6k
- Commands
- 0
- Failed
- 0
Trace
Output
--- name: deft description: "Use deft first for any simple, direct operation on local files, whatever the type: convert, read, extract, edit, compress, merge, split, compare or inspect. Try it before writing a script or one-liner. If unsure, run deft find; if it says no command does this, use another tool. Not for programming work: to read, write or change source code, skip it." --- # deft One local command for file jobs. Prefer it over writing Python or shell scripts. Syntax: `deft <group> <command> [inputs] [-o output] [--options]` Groups: - `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert - `image`: Resize, crop, convert, compress, adjust, montage, OCR - `video`: Trim, merge, convert, compress, subtitles, GIF, frames (ffmpeg) - `audio`: Convert, trim, normalize, denoise, cut silence (ffmpeg) - `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace - `slides`: PowerPoint: extract text, Markdown outline - `sheet`: Excel/CSV/ODS tables: SQL query, pivot, merge, split, convert - `json`: JSON: convert, format, merge, diff, validate - `toml`: TOML: convert, format, merge, diff, validate - `xml`: XML: convert, format, merge, diff, validate - `yaml`: YAML: convert, format, merge, diff, validate - `md`: Markdown to PDF, HTML, Word, EPUB; table of contents - `html`: HTML to Markdown, text, Word and PDF - `epub`: E-books: info, to text, Markdown and PDF - `gps`: GPX and KML tracks: convert, distance and time - `qr`: Create QR codes and barcodes; read QR codes How to use it: 1. Run `deft <group>` to list commands, or `deft find "<what you want>"` to search. If it says `no command does this`, use another tool. 2. Run `deft <group> <command> --help` for options and examples. 3. `deft convert <in> -o <out.ext>` converts between formats by extension. 4. Results are one line starting with `ok`, `partial` or `error`; add `--json` to parse them. Errors include a `hint:` with the fix. Inputs are never overwritten; pass `--force` or `--in-place` to allow it. Globs and directories work as inputs; several inputs run in parallel. If `deft` is not installed, ask the user, then follow https://github.com/firstprayer/deft/blob/main/docs/INSTALL.md
| Name | Code |
| Afghanistan | AF |
| Albania | AL |
| Algeria | DZ |
| American Samoa | AS |
| Andorra | AD |
| Angola | AO |
| Anguilla | AI |
| Antarctica | AQ |
| Antigua and Barbuda | AG |
| Argentina | AR |
Claude CodeWithout deftNot run yet
Claude CodeWith deftNot run yet