Evals / tables / Filter and clean

Drop columns

Keep only Country Name and Value from gdp.csv and save it as slim.csv.

normalsingledeft sheet query

The task

The reference answer shows the job can be done with deft. It is not an agent run.

deft sheet query gdp.csv --sql "select [Country Name], Value from gdp" -o slim.csv

Input

gdp.csv 549.6 KB
Country NameCountry CodeYearValue
AfghanistanAFG20003521418059.923445
AfghanistanAFG20012813571753.8725324
AfghanistanAFG20023825701438.9996333
AfghanistanAFG20034520946818.545814
AfghanistanAFG20045224896718.67782
AfghanistanAFG20056203256538.709669
AfghanistanAFG20066971758282.293506
AfghanistanAFG20079747886187.393929
AfghanistanAFG200810109297047.543194
AfghanistanAFG200912416152732.056717
AfghanistanAFG201015856668555.833595
AfghanistanAFG201117805098206.314083
AfghanistanAFG201219907329777.587166
AfghanistanAFG201320146416757.598675
AfghanistanAFG201420497128555.69723
AfghanistanAFG201519134221644.732494
AfghanistanAFG201618116572395.077213
AfghanistanAFG201718753456497.815865
AfghanistanAFG201818053222687.412624
AfghanistanAFG201918799444490.11278
AfghanistanAFG202019955929052.149597
AfghanistanAFG202114266499429.874573
AfghanistanAFG202214502158192.090395

Showing 24 of 4985 rows.

Reference output

slim.csv 426.7 KB
Country NameValue
Afghanistan3521418059.923445
Afghanistan2813571753.8725324
Afghanistan3825701438.9996333
Afghanistan4520946818.545814
Afghanistan5224896718.67782
Afghanistan6203256538.709669
Afghanistan6971758282.293506
Afghanistan9747886187.393929
Afghanistan10109297047.543194
Afghanistan12416152732.056717
Afghanistan15856668555.833595
Afghanistan17805098206.314083
Afghanistan19907329777.587166
Afghanistan20146416757.598675
Afghanistan20497128555.69723
Afghanistan19134221644.732494
Afghanistan18116572395.077213
Afghanistan18753456497.815865
Afghanistan18053222687.412624
Afghanistan18799444490.11278
Afghanistan19955929052.149597
Afghanistan14266499429.874573
Afghanistan14502158192.090395

Showing 24 of 6520 rows.

How a result is judged (1 check)
  • csv: file = "slim.csv", columns = 2

Runs

CodexWithout deftPassed2026-11-07

Time
13s
New tokens
5.8k
Total input
53.6k
Output tokens
0.3k
Commands
3
Failed
0

Trace

  1. I’ll inspect the CSV header and write `slim.csv` with just the Country Name and Value columns.

  2. pwd && rg --files -g 'gdp.csv' -g 'slim.csv'
    output
    gdp.csv
  3. python3 -c 'import csv; f=open(\"gdp.csv\", newline=\"\"); r=csv.reader(f); print(next(r))'
    output
    ['Country Name', 'Country Code', 'Year', 'Value']
  4. python3 -c 'import csv; src=open(\"gdp.csv\", newline=\"\"); rows=csv.DictReader(src); dst=open(\"slim.csv\", \"w\", newline=\"\"); w=csv.DictWriter(dst, fieldnames=[\"Country Name\", \"Value\"], extrasaction=\"ignore\"); w.writeheader(); w.writerows(rows); dst.close(); src.close()' && python3 -c 'import csv; f=open(\"slim.csv\", newline=\"\"); r=csv.reader(f); print(next(r)); print(next(r, None))'
    output
    ['Country Name', 'Value']
    ['Afghanistan', '3521418059.923445']
  5. Created [slim.csv](slim.csv) with only the `Country Name` and `Value` columns.

Output

slim.csv 440.4 KB
Country NameValue
Afghanistan3521418059.923445
Afghanistan2813571753.8725324
Afghanistan3825701438.9996333
Afghanistan4520946818.545814
Afghanistan5224896718.67782
Afghanistan6203256538.709669
Afghanistan6971758282.293506
Afghanistan9747886187.393929
Afghanistan10109297047.543194
Afghanistan12416152732.056717
Afghanistan15856668555.833595
Afghanistan17805098206.314083
Afghanistan19907329777.587166
Afghanistan20146416757.598675
Afghanistan20497128555.69723
Afghanistan19134221644.732494
Afghanistan18116572395.077213
Afghanistan18753456497.815865
Afghanistan18053222687.412624
Afghanistan18799444490.11278
Afghanistan19955929052.149597
Afghanistan14266499429.874573
Afghanistan14502158192.090395

Showing 24 of 6270 rows.

CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07

Time
16s
New tokens
8.7k
Total input
85.7k
Output tokens
0.5k
Commands
5
Failed
1

Trace

  1. I’ll inspect the CSV header, then write `slim.csv` with just the Country Name and Value columns.

  2. cat /r1/deft/SKILL.md (exit 1)
    output
    cat: /r1/deft/SKILL.md: No such file or directory
  3. cat .agents/skills/deft/SKILL.md && rg --files -g 'gdp.csv' -g 'AGENTS.md'
    output
    ---
    name: deft
    description: "Use deft instead of writing a script for file jobs: PDF merge/split/compress/watermark, image resize/convert/compress, video and audio trim/convert/compress, spreadsheets, Markdown to PDF/HTML, and YouTube downloads and subtitles."
    ---
    
    # 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, download, audio, subtitles, thumbnail (yt-dlp)
    - `file`: Any file: hash, duplicates, batch rename, base64, encoding
    - `qr`: Cre
    … 736 more characters
  4. The CSV is present. I’m using the spreadsheet tool for the column selection and will keep the original intact.

  5. deft sheet
    output
    deft sheet - commands (input -> output)
      info       sheet -> report           Sheet names, rows, columns
      convert    sheet -> sheet            Change format: --to csv|xlsx|json
      dedupe     sheet -> sheet            Drop repeated rows, by whole row or --columns
      extract    sheet -> sheet            Take a sheet or range: --sheet, --range A1:D20
      filter     sheet -> sheet            Keep matching rows: --where "age > 30 and city = 'Oslo'"
      from-pdf   pdf -> sheet              All text as one table [beta]
      group      sheet -> sheet            Group and total: --columns city --values sales --agg sum
      join       sheet... -> sheet         Join two tables on a key: --on id --how left
      merge      sheet... -> sheet         Stack tables; a shared header is kept once
      pivot      sheet -> sheet            Pivot table: --rows city --columns year --values sales
      query      sheet|sqlite... -> sheet  Run SQL over tables or a SQLite file: --sql 'select ...'
      select     sheet -> sheet            Keep, reorder or --drop columns
      sort       sheet -> sheet            Sort rows: --columns age,name --descending
      split      sheet -> sheet...         Split up: --sheets, --columns city or --every 1000
      stats      sheet -> report           Per-column counts, empties, min, max, mean, sum
      to-md      sheet -> md               Markdown table (first row is the header)
      transpose  sheet -> sheet            Swap rows and columns
    More: deft sheet <command> --help
  6. deft sheet select --help && head -n 1 gdp.csv
    output
    deft sheet select - Keep, reorder or --drop columns
    
    Usage: deft sheet select <sheet>... [-o <sheet|dir>] [options]
    In: sheet (each handled separately)   Out: sheet (default <name>.selected.<ext>)
    
    Options:
      --columns <text>             Columns to keep, in this order
      --drop <text>                Columns to remove
      --sheet <text>               Sheet name or number (default: first)
      --to <csv|xlsx|json>         Output format (default: like the input)
    Common: -o --force --dry-run --json -j   (deft help common)
    
    Examples:
      deft sheet select people.csv --columns age,name -o swapped.csv
      deft sheet select people.csv --drop age -o names.csv
    
    Result fields: rows, columns
    Country Name,Country Code,Year,Value
  7. deft sheet select gdp.csv --columns 'Country Name,Value' -o slim.csv
    output
    ok sheet.select gdp.csv -> slim.csv  13979 rows x 2 columns  0.02s
  8. Done. `slim.csv` contains the `Country Name` and `Value` columns from `gdp.csv` (13,979 rows).

Output

slim.csv 426.7 KB
Country NameValue
Afghanistan3521418059.923445
Afghanistan2813571753.8725324
Afghanistan3825701438.9996333
Afghanistan4520946818.545814
Afghanistan5224896718.67782
Afghanistan6203256538.709669
Afghanistan6971758282.293506
Afghanistan9747886187.393929
Afghanistan10109297047.543194
Afghanistan12416152732.056717
Afghanistan15856668555.833595
Afghanistan17805098206.314083
Afghanistan19907329777.587166
Afghanistan20146416757.598675
Afghanistan20497128555.69723
Afghanistan19134221644.732494
Afghanistan18116572395.077213
Afghanistan18753456497.815865
Afghanistan18053222687.412624
Afghanistan18799444490.11278
Afghanistan19955929052.149597
Afghanistan14266499429.874573
Afghanistan14502158192.090395

Showing 24 of 6520 rows.

Claude Opus 5.5Without deftPassed2026-11-07

Time
15s
New tokens
8.8k
Total input
41.9k
Output tokens
0.6k
Commands
0
Failed
0

Trace

    Output

    slim.csv 440.4 KB
    Country NameValue
    Afghanistan3521418059.923445
    Afghanistan2813571753.8725324
    Afghanistan3825701438.9996333
    Afghanistan4520946818.545814
    Afghanistan5224896718.67782
    Afghanistan6203256538.709669
    Afghanistan6971758282.293506
    Afghanistan9747886187.393929
    Afghanistan10109297047.543194
    Afghanistan12416152732.056717
    Afghanistan15856668555.833595
    Afghanistan17805098206.314083
    Afghanistan19907329777.587166
    Afghanistan20146416757.598675
    Afghanistan20497128555.69723
    Afghanistan19134221644.732494
    Afghanistan18116572395.077213
    Afghanistan18753456497.815865
    Afghanistan18053222687.412624
    Afghanistan18799444490.11278
    Afghanistan19955929052.149597
    Afghanistan14266499429.874573
    Afghanistan14502158192.090395

    Showing 24 of 6270 rows.

    Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07

    Time
    12s
    New tokens
    11.1k
    Total input
    77.1k
    Output tokens
    0.7k
    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
      
      slim.csv 426.7 KB
      Country NameValue
      Afghanistan3521418059.923445
      Afghanistan2813571753.8725324
      Afghanistan3825701438.9996333
      Afghanistan4520946818.545814
      Afghanistan5224896718.67782
      Afghanistan6203256538.709669
      Afghanistan6971758282.293506
      Afghanistan9747886187.393929
      Afghanistan10109297047.543194
      Afghanistan12416152732.056717
      Afghanistan15856668555.833595
      Afghanistan17805098206.314083
      Afghanistan19907329777.587166
      Afghanistan20146416757.598675
      Afghanistan20497128555.69723
      Afghanistan19134221644.732494
      Afghanistan18116572395.077213
      Afghanistan18753456497.815865
      Afghanistan18053222687.412624
      Afghanistan18799444490.11278
      Afghanistan19955929052.149597
      Afghanistan14266499429.874573
      Afghanistan14502158192.090395

      Showing 24 of 6520 rows.

      Claude CodeWithout deftNot run yet

      Claude CodeWith deftNot run yet