Evals / image / Multi-step jobs

Prepare photos for an online shop

The photos folder is going on our online shop. Give me a folder called shop where every picture is upright, cropped to an 800 by 800 square from the centre, under 150KB and free of location data, named product-1.jpg, product-2.jpg and so on.

hardmulti-stepdeft image cropdeft image resizedeft image stripdeft image compress

The task

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

(none)

Input

photos/camera.jpg 157.9 KB · 640x480
photos/camera.jpg
photos/earth.jpg 6.2 MB · 3000x3002
photos/earth.jpg
photos/sideways.jpg 134.4 KB · 450x600
photos/sideways.jpg

Reference output



How a result is judged (2 checks)
  • count_files: glob = "shop/product-*.jpg", count = 3
  • python: code = "import glob, os\nfrom PIL import Image, ImageChops, ImageOps, ImageStat\nouts = sorted(glob.glob('shop/*.jpg'))\nfor f in outs:\n    assert os.path.getsize(f) <= 150 * 1024, f\n    im = Image.open(f)\n    assert im.size == (800, 800), (f, im.size)\n    exif = im.getexif()\n    assert not exif.get_ifd(0x8825), 'GPS left in ' + f\n    assert exif.get(0x0112, 1) == 1, 'orientation flag left in ' + f\ndef expected(path):\n    im = ImageOps.exif_transpose(Image.open(path)).convert('RGB')\n    return ImageOps.fit(im, (800, 800))\nfor path in glob.glob('photos/*'):\n    want = expected(path)\n    best = min(sum(ImageStat.Stat(ImageChops.difference(want, Image.open(o).convert('RGB'))).mean) / 3 for o in outs)\n    assert best < 14, (path, best)\n"


Runs
CodexWithout deftPassed2026-11-07


Time
21s
New tokens
5.1k
Total input
55.4k


Output tokens
0.8k
Commands
3
Failed
0


Trace
  1. I’ll inspect the photos, then create `shop` in the current directory with centered square JPEGs, stripped metadata, and filenames assigned in a stable order.
  2. pwd && rg --files -g 'AGENTS.md' -g '"'!shop/**'"' -g '"'!*.git*'"' | head -80 && find photos -maxdepth 2 -type f
    output
    photos/earth.jpg
photos/sideways.jpg
photos/camera.jpg
  3. ls -la && file photos/* && python3 - <<'PY'
from PIL import Image
import os
for f in sorted(os.listdir('photos')):
 p='photos/'+f
 im=Image.open(p)
 print(f, im.format, im.size, im.mode, im.getexif().get(274), len(im.getexif()))
PY
    output
    total 0
drwxr-xr-x@    3 user  staff     96 Nov  6 16:39 .
drwx------@ 1693 user  staff  54176 Nov  6 16:39 ..
drwxr-xr-x@    5 user  staff    160 Nov  6 16:39 photos
photos/camera.jpg:   JPEG image data, Exif standard: [TIFF image data, little-endian, direntries=12, description=                               , manufacturer=NIKON, model=COOLPIX P6000, orientation=upper-left, xresolution=210, yresolution=218, resolutionunit=2, software=Nikon Transfer 1.1 W, datetime=2008:11:01 21:15:07, GPS-Data], baseline, precision 8, 640x480, components 3
photos/earth.jpg:    JPEG image data, JFIF standard 1.02, resolution (DPI), density 300x300, segment length 16, Exif Standard: [TIFF image data, big-endian, direntries=7, orientation=upper-left, xresolution=98, yresolution=106, resolutionunit=2, software=Adobe Photoshop CS Windows, datetime=2005:05:13 13:09:04], baseline, precision 8, 3000x3002, components 3
photos/sideways.jpg: JPEG image data, JFIF standard 1.01, resolution (DPI), density 72x72, segment length 16, Exif Standard: [TIFF image data, big-endian, direntries=5, orientation=upper-right, xresolution=74, yresolution=82, resolutionunit=2], baseline, precision 8, 450x600, components 3
camera.jpg JPEG (640, 480) RGB 1 12
earth.jpg JPEG (3000, 3002) RGB 1 7
sideways.jpg JPEG (450, 600) RGB 6 5
  4. python3 - <<'PY'
from PIL import Image, ImageOps
from pathlib import Path

src = Path('photos')
out = Path('shop')
out.mkdir(exist_ok=True)
files = sorted(p for p in src.iterdir() if p.is_file())
for i, path in enumerate(files, 1):
    with Image.open(path) as opened:
        im = ImageOps.exif_transpose(opened).convert('RGB')
    w, h = im.size
    side = min(w, h)
    left = (w - side) // 2
    top = (h - side) // 2
    im = im.crop((left, top, left + side, top + side)).resize((800, 800), Image.Resampling.LANCZOS)
    dest = out / f'product-{i}.jpg'
    quality = 90
    while True:
        im.save(dest, 'JPEG', quality=quality, optimize=True, progressive=True)
        if dest.stat().st_size < 150 * 1024:
            break
        quality -= 5
        if quality < 30:
            raise RuntimeError(f'Unable to meet size limit for {path.name}')
    print(f'{path.name} -> {dest}: {dest.stat().st_size} bytes, quality={quality}')
PY
python3 - <<'PY'
from pathlib import Path
from PIL import Image
for p in sorted(Path('shop').glob('*')):
 with Image.open(p) as im:
  print(p.name, im.format, im.size, 'exif_entries=', len(im.getexif()), 'bytes=', p.stat().st_size)
PY
    output
    camera.jpg -> shop/product-1.jpg: 146212 bytes, quality=70
earth.jpg -> shop/product-2.jpg: 134000 bytes, quality=85
sideways.jpg -> shop/product-3.jpg: 143917 bytes, quality=85
product-1.jpg JPEG (800, 800) exif_entries= 0 bytes= 146212
product-2.jpg JPEG (800, 800) exif_entries= 0 bytes= 134000
product-3.jpg JPEG (800, 800) exif_entries= 0 bytes= 143917
  5. Created `shop` with three centered 800×800 JPEGs, upright after applying orientation, with EXIF metadata removed. Each file is under 150 KB.

- `product-1.jpg` — camera
- `product-2.jpg` — earth
- `product-3.jpg` — sideways
Output
shop/product-1.jpg 142.8 KB · 800x800
shop/product-1.jpg
shop/product-2.jpg 130.9 KB · 800x800
shop/product-2.jpg
shop/product-3.jpg 140.5 KB · 800x800
shop/product-3.jpg
CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07


Time
33s
New tokens
12.3k
Total input
138.3k


Output tokens
1.2k
Commands
8
Failed
0


Trace
  1. I’ll inspect `photos` first to see what image files are there, then create `shop` with centered 800×800 JPEGs and strip metadata.
  2. pwd && rg --files photos
    output
    photos/camera.jpg
photos/sideways.jpg
photos/earth.jpg
  3. I’m using the `deft` skill for the image batch so the resize, crop, format, and metadata handling follow its supported workflow.
  4. cat .agents/skills/deft/SKILL.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
… 728 more characters
  5. deft find "center crop square resize jpeg strip metadata quality file size"
    output
    image crop    image -> image  Cut a region: --box x,y,w,h or --aspect 16:9
image resize  image -> image  Scale: --size 800x, 1920x1080, 50%
image strip   image -> image  Remove EXIF, GPS and text metadata
pdf resize    pdf -> pdf      Fit pages to --page-size a4
  6. deft image && deft image crop --help && deft image resize --help && deft image strip --help && deft image compress --help
    output
    deft image - commands (input -> output)
  info         image -> report      Format, dimensions, EXIF orientation, GPS
  adjust       image -> image       Change --brightness, --contrast, --saturation, --gamma
  blur         image -> image       Gaussian blur: --radius 5, or a --box region
  compress     image -> image       Smaller file: --quality, --target-size 200KB
  convert      image -> image       Change format: --to png|jpg|webp|avif|gif|tiff|bmp|ico
  crop         image -> image       Cut a region: --box x,y,w,h or --aspect 16:9
  diff         image... -> png      Compare two images; marks changed pixels in red
  favicon      image -> ico+png...  Website icon set: favicon.ico and PNG sizes
  flip         image -> image       Mirror: --direction horizontal|vertical
  frames       gif -> png...        Save each frame of an animated GIF as PNG
  grayscale    image -> image       Remove colour
  invert       image -> image       Negative: flip every colour
  meta         image -> image       Read EXIF, or set --title --author --copyright --date
  montage      image... -> image    Tile images into a grid: --cols 3 --size 300x300
  ocr          image -> txt         Read the text in an image (tesseract)
  pad          image -> image       Add a border or canvas: --border 20, --size 1080x1080
  resize       image -> image       Scale: --size 800x, 1920x1080, 50%
  rotate       image -> image       Turn clockwise by any angle (EXIF is applied first)
  sharpen      image -> ima
… 3259 more characters
  7. deft image info photos/*
    output
    ok image.info photos/camera.jpg  640x480
width=640 height=480 orientation=1 has_metadata=true has_gps=true
ok image.info photos/earth.jpg  3000x3002
width=3000 height=3002 orientation=1 has_metadata=true has_gps=false
ok image.info photos/sideways.jpg  600x450
width=600 height=450 orientation=6 has_metadata=true has_gps=false
  8. mkdir -p shop && deft image resize photos/camera.jpg --size 800x800 --fit cover --upscale --quality 88 -o <tmp> && deft image resize photos/earth.jpg --size 800x800 --fit cover --upscale --quality 88 -o <tmp> && deft image resize photos/sideways.jpg --size 800x800 --fit cover --upscale --quality 88 -o <tmp>
    output
    ok image.resize photos/camera.jpg -> <tmp>  800x800  0.02s
ok image.resize photos/earth.jpg -> <tmp>  800x800  0.12s
ok image.resize photos/sideways.jpg -> <tmp>  800x800  0.02s
  9. deft image compress <tmp> --target-size 150KB -o <tmp> && deft image compress <tmp> --target-size 150KB -o <tmp> && deft image compress <tmp> --target-size 150KB -o <tmp> && deft image strip <tmp> -o shop/product-1.jpg && deft image strip <tmp> -o shop/product-2.jpg && deft image strip <tmp> -o shop/product-3.jpg
    output
    ok image.compress <tmp> -> <tmp>  288KB -> 150KB (-48%)  0.05s
ok image.compress <tmp> -> <tmp>  188KB -> 147KB (-22%)  0.05s
ok image.compress <tmp> -> <tmp>  196KB -> 142KB (-28%)  0.06s
ok image.strip <tmp> -> shop/product-1.jpg  150KB -> 150KB  0.00s
ok image.strip <tmp> -> shop/product-2.jpg  147KB -> 147KB  0.00s
ok image.strip <tmp> -> shop/product-3.jpg  142KB -> 142KB  0.00s
  10. deft image info shop/* && ls -lh shop && file shop/*
    output
    ok image.info shop/product-1.jpg  800x800
width=800 height=800 orientation=1 has_metadata=false has_gps=false
ok image.info shop/product-2.jpg  800x800
width=800 height=800 orientation=1 has_metadata=false has_gps=false
ok image.info shop/product-3.jpg  800x800
width=800 height=800 orientation=1 has_metadata=false has_gps=false
total 888
-rw-r--r--@ 1 user  staff   150K Nov  6 16:40 product-1.jpg
-rw-r--r--@ 1 user  staff   147K Nov  6 16:40 product-2.jpg
-rw-r--r--@ 1 user  staff   142K Nov  6 16:40 product-3.jpg
shop/product-1.jpg: JPEG image data, JFIF standard 1.02, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 800x800, components 3
shop/product-2.jpg: JPEG image data, JFIF standard 1.02, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 800x800, components 3
shop/product-3.jpg: JPEG image data, JFIF standard 1.02, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 800x800, components 3
  11. Created `shop` with `product-1.jpg` through `product-3.jpg`. All three are upright 800×800 center crops, under 150 KB, and have no metadata or GPS data.
Output
shop/product-1.jpg 149.9 KB · 800x800
shop/product-1.jpg
shop/product-2.jpg 146.7 KB · 800x800
shop/product-2.jpg
shop/product-3.jpg 141.6 KB · 800x800
shop/product-3.jpg
Claude Opus 5.5Without deftPassed2026-11-07


Time
34s
New tokens
14.7k
Total input
94.4k


Output tokens
2.5k
Commands
0
Failed
0


Trace
    Output
    shop/product-1.jpg 137.0 KB · 800x800
    shop/product-1.jpg
    shop/product-2.jpg 139.4 KB · 800x800
    shop/product-2.jpg
    shop/product-3.jpg 128.9 KB · 800x800
    shop/product-3.jpg
    Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07
    

    Time
    31s
    New tokens
    16.4k
    Total input
    157.8k
    

    Output tokens
    2.1k
    Commands
    0
    Failed
    0
    

    Trace
      Output
      .claude/skills/deft/SKILL.md 2.1 KB
      ---
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

      shop/product-1.jpg 145.8 KB · 800x800
      shop/product-1.jpg
      shop/product-2.jpg 131.7 KB · 800x800
      shop/product-2.jpg
      shop/product-3.jpg 140.8 KB · 800x800
      shop/product-3.jpg
      Claude CodeWithout deftNot run yet
      Claude CodeWith deftNot run yet