Ada Check

The user's argument is: $ARGUMENTS

• If a single PDF path is provided, process that file.
• If a folder path is provided, glob for all *.pdf files and process each.
• If no argument is provided, ask the user which PDF(s) to check.

2. Run the Audit Script

python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_accessibility_audit.py" "<pdf_path>" 2>/dev/null

Parse the JSON output.

3. Determine Fixes

Build a fixes JSON object:

Metadata (always auto-fixable):

• title: If missing or looks like a filename, read page 1 visually and infer a meaningful title.
• author: If missing, always ask the user before proceeding: "Who is the author of this document?" Do not leave blank or skip — author is a required accessibility metadata field. In batch mode, ask once and apply the same author to all files unless the user specifies otherwise.
• subject: If missing, infer from content.
• language: If missing, default to "en-US".
• display_doc_title: Set to true.
• set_tagged: Set to true ONLY after confirming the PDF has a structure tree (from Acrobat Autotag or Path B). Do NOT set on an untagged PDF — it would make the audit falsely report the PDF as tagged.
• set_pdfua: Set to true.

Bookmarks (always auto-fixable):

• generate_bookmarks: Set to true if no bookmarks exist and document has more than 1 page.

Link descriptions (Claude generates):

• If audit reports non-descriptive links, look at the non_descriptive_links array.
• For each link, read the surrounding page content and generate descriptive text.
• Build a link_descriptions dict mapping "pageNum_linkIndex" to description string.
• Example: {"2_0": "YouTube: Technical Due Process lecture", "7_0": "DHS AI use case inventory"}

Alt text (Claude generates — MANDATORY for all figures):

• You MUST read EVERY page that contains figures and generate alt text for ALL of them.
• Do NOT skip figures or ask the user to provide alt text. This is the skill's job.
• For large documents, read pages in batches (e.g., 10-20 pages at a time) to cover all figures.
• The figure index is sequential: figure 0 is the first content image in the document, figure 1 is the second, etc. (after filtering out repeated logos/headers).
• Generate concise but descriptive alt text (1-2 sentences). For charts/graphs, describe the data story. For screenshots, describe the key content shown.
• Add to alt_texts dict mapping figure index (as string) to alt text string.

4. Check for Untagged PDFs

If the audit reports structure.has_structure_tree == false, the PDF has no structure tree. This is the single most important accessibility feature — without it, screen readers get unstructured text with no headings, lists, or figure descriptions.

Ask the user:

This PDF has no structure tree (the most important feature for screen readers).

Do you have an Acrobat-tagged version of this PDF? If you've already run Adobe Acrobat Pro > Accessibility > Autotag Document on this file, give me the tagged version and I'll apply all remaining fixes (metadata, bookmarks, link descriptions, alt text, PDF/UA flag) on top of Acrobat's structure tree.

If not, I'll handle everything automatically — I'll generate a structure tree with headings, lists, figures, and tables, plus all metadata fixes, in one pass.

Note: Acrobat's structure tree is higher quality (deeper heading hierarchy, better table detection, MCID-linked content). But our automated path produces a solid structure tree that works well for most documents, especially slide decks.

5. Apply Fixes

Path A: User Provides Acrobat-Tagged PDF

1. Wait for the user to provide the tagged file path. Once they do, re-run the audit on the tagged file to confirm the structure tree now exists:

   python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_accessibility_audit.py" "<tagged_pdf_path>" 2>/dev/null
   

   Verify structure.has_structure_tree == true. If it's still false, the user may not have saved correctly — ask them to try again.

2. Re-determine fixes based on the new audit of the tagged file. Now that the structure tree exists, set set_tagged: true and generate alt text targeting the actual /Figure elements in the structure tree.

3. Run pypdf on the tagged file:

   python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_metadata_fix.py" "<tagged_pdf_path>" "<fixes_json_path>" 2>/dev/null
   

   Clean up the temp fixes JSON.

   The output _accessible.pdf will have the Acrobat structure tree PLUS all metadata, bookmarks, link descriptions, and PDF/UA identifier.

Path B: Full Automation (pikepdf)

1. Check if pikepdf is available:

   python3 -c "import pikepdf; print('available')" 2>/dev/null
   

2. If pikepdf IS available: Write the fixes JSON to a temp file, then run the structure tree generator with the fixes included (single-pass pipeline — all changes via pikepdf):

   python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_structure_generator.py" "<pdf_path>" "<output_accessible.pdf>" "<fixes_json_path>" 2>/dev/null
   

   This generates the structure tree, bookmarks, and applies all metadata fixes in a single operation. Do NOT run pdf_metadata_fix.py afterward — the pikepdf output should not be re-processed by pypdf (this corrupts the file).

3. If pikepdf is NOT available: Tell the user: "pikepdf is not installed. Run pip install pikepdf to enable structure tree generation, or provide an Acrobat-tagged version of the PDF."

6. Present Results Inline

Show a structured checklist. Adapt based on which path was used:

Path A Checklist:

## Auto-Fixed
- [x] Structure tree (Acrobat Autotag)
- [x] Document title set to "<title>"
- [x] Language set to en-US
- [x] Tagged PDF flag set
- [x] Display title enabled
- [x] PDF/UA identifier added
- [x] Bookmarks generated for N pages
- [x] Descriptive text added to N links
- [x] Alt text added to N figures

## Needs Human Review
- [ ] Verify heading hierarchy matches document structure
- [ ] Review alt text accuracy for each image
- [ ] Check reading order on multi-column slides

Saved: `filename_accessible.pdf`

Path B Checklist:

## Auto-Fixed (Acrobat Accessibility Checks)
- [x] Document title set to "<title>"
- [x] Language set to en-US
- [x] Display title enabled
- [x] PDF/UA identifier added
- [x] Bookmarks generated for N pages
- [x] Descriptive text added to N links
- [x] Structure tree generated (N elements: headings, lists, figures, tables)
- [x] Tagged content (BDC/EMC) — all page content marked with structure MCIDs
- [x] Tagged annotations — link annotations tagged as /Link structure elements
- [x] Tab order set to structure order on all pages

## Needs Human Review
- [ ] Verify heading hierarchy matches document structure (heuristic-based)
- [ ] Review alt text accuracy for each image
- [ ] Check reading order on multi-column slides

Saved: `filename_accessible.pdf`

After showing the checklist, ask:

Want me to save this checklist as a file? (markdown / spreadsheet)

7. Export Options

If user asks to save:

• Markdown: Write filename_remediation.md with full checklist, page numbers, Acrobat instructions
• Spreadsheet: Create .xlsx with columns: Page, Issue Type, Description, Fix Instruction, Status

8. Batch Mode

When processing a folder:

Step 1: Collect shared metadata upfront. Before auditing, ask the user TWO questions:

1. Who is the author of these documents?
2. Fix all files, or do you want to select specific ones after seeing the summary?

This avoids re-asking per file. Store the author for all files.

Step 2: Audit all PDFs.

python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_accessibility_audit.py" --summary file1.pdf file2.pdf file3.pdf 2>/dev/null

This outputs a JSON array of compact summaries (one Python process for all files).

Show summary table:

| File | Pages | Pass | Warn | Fail | Has Tags | Figures No Alt |
|------|-------|------|------|------|----------|----------------|

Step 3: Process each file fully. For each file (or user-selected subset):

1. Run the full audit (not --summary) to get link and figure details
2. Read ALL pages visually to generate alt text for every figure and descriptions for every link
3. Infer title and subject from content; apply the shared author
4. Use the appropriate path (A or B) based on whether the file has a structure tree
5. Do NOT skip alt text or link descriptions — generate everything automatically

For Path B files (untagged), process sequentially since each needs pikepdf:

python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_structure_generator.py" "<pdf_path>" "<output_accessible.pdf>" "<fixes_json_path>" 2>/dev/null

For Path A files (already tagged), batch mode is available:

python3 "${CLAUDE_SKILL_DIR}/scripts/pdf_metadata_fix.py" --batch batch_fixes.json 2>/dev/null

Where batch_fixes.json is an array of {"input": "path.pdf", "fixes": {...}} entries.

Step 4: Show per-file results with individual checklists and a final summary table.

Compliance Reference

See ${CLAUDE_SKILL_DIR}/references/compliance-checklist.md for the full checklist.

Important Notes

• Never overwrite the original PDF — save as _accessible.pdf
• When generating alt text: concise but descriptive (1-2 sentences)
• For charts/graphs: describe the data story, not just "a bar chart"
• For link descriptions: use the URL + page context to write meaningful text
• Encrypted/password-protected PDFs cannot be processed — inform the user
• Never run pypdf's pdf_metadata_fix.py on pikepdf output — this corrupts the file