Doc Scan

DEPRECATED — this skill has been merged into doc-process (v4.0.0+). Use doc-process instead for document scanning, perspective correction, and dewarping. doc...

Security Scan

The skill's code and runtime instructions match its stated purpose (a local document-scanning script); there is no evidence of unrelated credential access, network exfiltration, or suspicious install behavior.

Purpose & Capability

Name/description (document scanning, dewarping, enhancement) align with the included script (doc_scanner.py) which performs edge detection, perspective warp, shadow removal, and output formatting. No unrelated credentials, services, or binaries are requested.

Instruction Scope

SKILL.md confines actions to reading the provided image, running the local Python scanner, and reporting results. It does not direct reading of unrelated files or environment variables. Minor: SKILL.md uses the path 'python skills/doc-scan/scripts/doc_scanner.py' while the manifest lists 'scripts/doc_scanner.py' — this is likely a small path convention mismatch but not indicative of malicious behavior.

Install Mechanism

There is no install spec (instruction-only with an included script). This is low-risk — nothing is downloaded or executed from external URLs. Note: the script requires Python packages (opencv-python-headless, numpy, Pillow, optional img2pdf); these are not installed automatically by the skill.

Credentials

The skill requests no environment variables, no credentials, and no config paths. The code does not read environment secrets or network endpoints; all processing is local. Required packages are appropriate for image processing.

Persistence & Privilege

always is false; the skill does not request persistent/always-on privileges and does not modify other skills or system-wide agent settings. It runs a local script and writes output files only.

Assessment

This skill appears to do exactly what it claims: run a local document-scanning script. Before installing/using it, note that: (1) it requires Python and image libraries (opencv-python-headless, numpy, Pillow; img2pdf optional) which you must install in the runtime environment; (2) the SKILL.md path to the script may be relative to how skills are installed—verify the script path in your environment; (3) processing is local (no network I/O observed) but as with any tool, avoid feeding highly sensitive documents unless you trust the runtime environment; and (4) the skill is marked deprecated in favor of doc-process v4.0.0+, so prefer the newer package if available.

Doc-Scan — DEPRECATED

This skill is deprecated. All functionality has been merged into doc-process v4.0.0 with a significantly improved scanner engine. Please use doc-process instead.

To scan a document photo: install doc-process and say "scan this photo", "correct perspective", "dewarp this document", or any equivalent phrase.

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Doc-Scan — Document Scanner Skill (archived)

Converts a photo of a document (whiteboard, printed page, handwritten note, form, receipt, book page, etc.) into a clean scanned-looking image with perspective correction and enhancement.

Step 1 — Validate the Input

Read the provided image visually. Assess:

Check	Yes/No	Notes
Is this an image file?		.jpg, .jpeg, .png, .heic, .webp, .bmp, .tiff
Does the image contain a document?		Printed page, form, note, receipt, whiteboard, book
Is the document the primary subject?		Centered or dominant in frame
Is there a perspective distortion?		Taken from an angle — not flat/overhead
Is the image quality sufficient?		Not severely blurred or too dark

Non-Document Detection

If the image does not appear to contain a document, respond:

⚠ This image doesn't appear to contain a document.

I detected: [brief description of what the image contains — e.g., "a landscape photo", "a person's portrait", "a blank wall"]

Doc-Scan works best with:
- Printed documents (forms, letters, reports)
- Handwritten notes or whiteboards
- Receipts, invoices, or business cards
- Book or magazine pages
- Any flat document photographed from above or at an angle

If you intended to upload a document photo, please try again with better lighting and the document clearly visible. If you want to process this image for a different purpose, I can help with that instead.

Do not proceed with scanning if this check fails.

---

Step 2 — Pre-Scan Assessment

Report what you see before scanning:

## Document Photo Assessment

| Property | Detected Value |
|---|---|
| Document type | [e.g., Printed letter, handwritten note, receipt, form] |
| Orientation | Portrait / Landscape / Tilted (~N degrees) |
| Perspective distortion | None / Mild / Moderate / Severe |
| Lighting | Even / Uneven (shadow on [region]) / Too dark / Too bright |
| Background | White desk / Dark table / Complex background |
| Image quality | Sharp / Slightly blurred / Blurred |
| Estimated document area | ~N% of total image |
| Multi-page? | Single page / [N] pages detected |
| Content visible | [brief description — e.g., "text document, 3 columns, appears to be a form"] |

Recommended enhancements:
- [x] Perspective correction
- [x] Background removal / edge crop
- [ ] Binarization (black & white) — suitable if text-only
- [x] Contrast enhancement
- [x] Shadow removal
- [ ] Color preservation — suitable for documents with color content

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Step 3 — Run the Scanner Script

python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png

Common Options

# Black and white output (best for text documents)
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png --mode bw

# Color-preserved output (best for forms, diagrams, colored content)
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png --mode color

# Grayscale output (middle ground)
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png --mode gray

# Output as PDF
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.pdf --format pdf

# Multiple images into one PDF (multi-page scan)
python skills/doc-scan/scripts/doc_scanner.py --input page1.jpg page2.jpg page3.jpg --output document.pdf --format pdf

# Manual corner specification (if auto-detection fails)
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png --corners "50,30 800,20 820,1100 40,1120"

# High-resolution output
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png --dpi 300

# Skip perspective correction (if photo is already flat)
python skills/doc-scan/scripts/doc_scanner.py --input photo.jpg --output scanned.png --no-warp

---

Step 4 — Interpret Script Output

The script outputs a JSON status block to stderr. Parse and report to user:

{
  "status": "success",
  "corners_detected": true,
  "corners": [[50,30],[800,20],[820,1100],[40,1120]],
  "warp_applied": true,
  "enhancement_mode": "bw",
  "input_size": [3024, 4032],
  "output_size": [2480, 3508],
  "output_dpi": 300,
  "pages": 1,
  "output_file": "scanned.png",
  "warnings": []
}

Status Handling

"status": "success": Report completion with key stats.

"corners_detected": false: Auto-detection failed. Offer:

• "Auto edge-detection could not find the document corners. I can try with manual corner hints — please describe approximately where the four corners of the document appear in the photo (e.g., top-left at about 10% from left and 5% from top)."
• Or: offer --no-warp mode to at least apply enhancement without perspective correction

warnings array: Report any warnings to user — e.g., "Low contrast image", "Detected significant blur", "Partial document visible"

---

Step 5 — Post-Scan Quality Check

After the script completes, read the output image visually and assess:

Quality Check	Pass / Fail	Notes
Document edges are straight		No barrel distortion remaining
Text is legible		Not blurred or over-enhanced
Shadows removed or reduced		Even lighting across page
Background removed (white/clean)		No table/desk visible
Correct aspect ratio (A4/Letter)		Not stretched or squished
Color / binarization correct		B&W if text-only, Color if content requires it

If any check fails, report the issue and offer:

• Re-run with different settings (different mode, manual corners, contrast level)
• Re-photograph tips (see Step 7)

---

Step 6 — Output Report

## Scan Complete ✓

| Property | Value |
|---|---|
| Output file | scanned.png |
| Output size | 2480 × 3508 px (A4 at 300 DPI) |
| Mode | Black & White |
| Perspective correction | Applied |
| Shadow removal | Applied |
| Processing time | ~2.3s |

### Enhancements Applied
- Edge detection and four-corner extraction
- Perspective warp to standard A4 dimensions
- Adaptive thresholding (Sauvola method) for clean B&W text
- Shadow compensation via background normalization
- Border cropped to document edges

### Before → After
[Original photo] → [Scanned output]
(Both are available at their file paths)

---

Step 7 — Multi-Page Documents

If the user provides multiple photos (or a folder of images):

1. Process each image individually
2. Sort by filename or user-specified order
3. Combine into a single PDF:

python skills/doc-scan/scripts/doc_scanner.py \
  --input page1.jpg page2.jpg page3.jpg \
  --output document.pdf --format pdf

4. Report: "3-page document scanned and saved to document.pdf"

For very large batches (10+ pages), process in batches of 10 and combine.

---

Step 8 — Photography Tips (on poor quality input)

If the input image quality is poor or auto-detection fails, provide tips:

### Tips for Better Scans

**Lighting:**
- Scan in bright, even lighting (avoid direct sunlight creating glare)
- Avoid shadows from your hand or body
- A well-lit indoor environment works well

**Camera position:**
- Hold the camera directly above the document when possible
- Keep the camera parallel to the document surface
- The full document should be visible with a small border around it

**Background:**
- Place the document on a contrasting background (dark table for white paper, white surface for dark paper)
- Avoid patterned or busy backgrounds

**Focus & stability:**
- Tap to focus on the document before taking the photo
- Hold steady or use a tripod for sharper results
- Use the highest resolution available on your camera

**Document preparation:**
- Flatten any folds or curves
- If the document is creased, press it flat before photographing

---

Step 9 — Integration with Doc-Process

After a successful scan, offer to process the scanned document with doc-process:

Scan complete! Would you also like me to:
- Extract text and fill a form from this scanned document?
- Analyze this as a contract/receipt/medical document?
- Translate this document to another language?
- Extract tables from this document?

Just say what you'd like to do and I'll process the scanned version.

If the user confirms, pass the scanned output file to the appropriate doc-process mode.

---

Step 10 — Timeline Logging

After a successful scan, silently log to the timeline:

python skills/doc-process/scripts/timeline_manager.py add \
  --type "Doc Scan" \
  --source "<input filename>" \
  --summary "<N> page(s) scanned, perspective corrected, saved as <output filename>"

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General Rules

• Never process the photo if it does not contain a document — explain what was detected instead
• Always report the detected document type so the user can confirm before scanning
• Auto-detect corners when possible; fall back gracefully to manual or no-warp mode
• Default output mode: bw for text documents, color for anything with color content
• Default output format: PNG (lossless); PDF only if explicitly requested or for multi-page
• Default DPI: 300 (print quality); 150 for screen-only use