Agent skill

PDF Extraction Fallback 7db3aa

by HKUDS in HKUDS/OpenSpace

Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails

MITAuto-check passedDocuments & Office

Install PDF Extraction Fallback 7db3aa

skills CLI
$ npx skills add HKUDS/OpenSpace --skill pdf-extraction-fallback-7db3aa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HKUDS/OpenSpace pdf-extraction-fallback-7db3aa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-extraction-fallback-7db3aa .claude/skills/pdf-extraction-fallback-7db3aa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pdf-extraction-fallback-7db3aa
GitHub stars
7.8k
Token cost
~1.2k tokens
SKILL.md length
282 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails

  • Works in 5 steps: Validate each attempt - Check output… → Log which method succeeded - Track which… → Set minimum content thresholds - Don't… → …
  • Tasks that involve PDF
  • SKILL.md covers Purpose, When to Use, Fallback Sequence and Implementation Pattern, plus 4 more sections
  • Calls pdftotext and tesseract

What it does

PDF Extraction Fallback 7db3aa is an agent skill from HKUDS/OpenSpace. Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Documents & Office, covering PDF. The repository describes itself as: "OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/. The licence is MIT.

When your agent uses it

  • Tasks that involve PDF

Example prompts

  • “/pdf-extraction-fallback-7db3aa”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Validate each attempt - Check output length and quality before accepting
  2. Log which method succeeded - Track which tier worked for future reference
  3. Set minimum content thresholds - Don't accept trivial results (e.g., <50 chars)
  4. Combine methods if needed - Some documents need multiple approaches for different sections
  5. Preserve original file - Never modify the source PDF during extraction attempts

What it can do on your machine

Read from SKILL.md and the folder at commit 3827781. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pdftotext
    • tesseract

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PDF Extraction Fallback 7db3aa loads about 1.2k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 282 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HKUDS/OpenSpace at commit 3827781, republished under its MIT licence (© HKUDS). 282 words, ~1,179 tokens.

Download SKILL.mdSave it as .claude/skills/pdf-extraction-fallback-7db3aa/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
pdf-extraction-fallback-7db3aa
description
Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails

PDF Extraction Fallback Strategy

Purpose

When processing complex documents (tax forms, legal documents, scanned materials), PDF extraction often fails on the first attempt. This skill provides a systematic fallback approach that tries multiple extraction methods in sequence until one succeeds.

When to Use

  • Initial PDF reading tools return errors or empty content
  • Document appears to be scanned/image-based rather than text-based
  • Previous extraction attempts produced incomplete or garbled output
  • Working with forms, tables, or structured documents that need reliable extraction

Fallback Sequence

Tier 1: Shell-Based Extraction (pdftotext)

Start with command-line tools that often handle edge cases better:

bash
# Extract text maintaining layout
pdftotext -layout input.pdf output.txt

# Extract raw text (faster, less formatting)
pdftotext input.pdf output.txt

# Extract specific page range
pdftotext -f 1 -l 3 input.pdf output.txt

Check if output contains meaningful content before proceeding.

Tier 2: Python-Based Parsing

If shell tools fail, use Python libraries with different extraction approaches:

python
# Using PyPDF2 for basic text extraction
import PyPDF2
with open('document.pdf', 'rb') as f:
    reader = PyPDF2.PdfReader(f)
    text = ''.join(page.extract_text() for page in reader.pages)

# Using pdfplumber for tables and structured content
import pdfplumber
with pdfplumber.open('document.pdf') as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        tables = page.extract_tables()

# Using pypdf for newer PDF features
from pypdf import PdfReader
reader = PdfReader('document.pdf')
text = ''.join(page.extract_text() for page in reader.pages)
Tier 3: OCR Tools (for Scanned Documents)

If the PDF contains images or scanned content, use OCR:

bash
# Using tesseract via command line
tesseract input.pdf output --psm 6

# Using Python with pytesseract
import pytesseract
from pdf2image import convert_from_path

images = convert_from_path('document.pdf')
text = ''.join(pytesseract.image_to_string(img) for img in images)

Implementation Pattern

python
def extract_pdf_resilient(pdf_path):
    """Try multiple extraction methods until one succeeds."""
    
    # Tier 1: Shell extraction
    result = run_shell(f'pdftotext -layout "{pdf_path}" -')
    if result.stdout and len(result.stdout.strip()) > 100:
        return result.stdout, 'pdftotext'
    
    # Tier 2: Python libraries
    try:
        import pdfplumber
        with pdfplumber.open(pdf_path) as pdf:
            text = ''.join(page.extract_text() or '' for page in pdf.pages)
        if text.strip():
            return text, 'pdfplumber'
    except Exception:
        pass
    
    # Tier 3: OCR fallback
    try:
        from pdf2image import convert_from_path
        import pytesseract
        images = convert_from_path(pdf_path)
        text = ''.join(pytesseract.image_to_string(img) for img in images)
        if text.strip():
            return text, 'tesseract-ocr'
    except Exception:
        pass
    
    raise ExtractionError("All extraction methods failed")

Decision Criteria

IndicatorAction
Empty outputProceed to next tier
Garbled/special charactersTry next tier
Partial contentAccept if meets minimum threshold
Tool not availableSkip to next tier
Format-specific errorsTry alternative library

Best Practices

  1. Validate each attempt - Check output length and quality before accepting
  2. Log which method succeeded - Track which tier worked for future reference
  3. Set minimum content thresholds - Don't accept trivial results (e.g., <50 chars)
  4. Combine methods if needed - Some documents need multiple approaches for different sections
  5. Preserve original file - Never modify the source PDF during extraction attempts

Error Handling

  • Catch exceptions at each tier, don't fail immediately
  • Log detailed error messages for debugging
  • Continue to next tier even if current tier partially succeeds but produces poor quality
  • After all tiers fail, provide clear summary of what was tried

Output Quality Check

Before declaring extraction complete:

python
def validate_extraction(text):
    if not text or len(text.strip()) < 50:
        return False
    if text.count('') > len(text) * 0.1:  # Too many replacement chars
        return False
    if len(set(text)) < 10:  # Too little character variety
        return False
    return True

© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in benchmarks/gdpval/skills/pdf-extraction-fallback-7db3aa of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

PDF Extraction Fallback 7db3aa next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

PDF Extraction Fallback 7db3aa compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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GenOffice Document CLIgenspark-ai/genoffice9k—~19kAutomated safety check: PassApache-2.0
Harness Book Best Practicewquguru/harness-books3.2k—~4.1kAutomated safety check: PassNone
Bookforge Korean Ebook PDF Makergongnyang/bookforge3151 repos~1.7kAutomated safety check: PassMIT

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Questions about PDF Extraction Fallback 7db3aa

What does PDF Extraction Fallback 7db3aa do?

Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails. PDF Extraction Fallback 7db3aa is an agent skill from HKUDS/OpenSpace.

When should I use PDF Extraction Fallback 7db3aa?

PDF Extraction Fallback 7db3aa fits situations like: tasks that involve PDF.

How do I install PDF Extraction Fallback 7db3aa in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill pdf-extraction-fallback-7db3aa -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-extraction-fallback-7db3aa in HKUDS/OpenSpace) into .claude/skills/pdf-extraction-fallback-7db3aa in your project. Claude Code loads it when a task matches its description.

How do I install PDF Extraction Fallback 7db3aa in Codex?

Run `npx skills add HKUDS/OpenSpace --skill pdf-extraction-fallback-7db3aa -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-extraction-fallback-7db3aa in HKUDS/OpenSpace) into .agents/skills/pdf-extraction-fallback-7db3aa in your project. Codex loads it when a task matches its description.

Can I use PDF Extraction Fallback 7db3aa in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/OpenSpace --skill pdf-extraction-fallback-7db3aa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pdf-extraction-fallback-7db3aa, .gemini/skills/pdf-extraction-fallback-7db3aa, .github/skills/pdf-extraction-fallback-7db3aa and .opencode/skills/pdf-extraction-fallback-7db3aa in your project.

What does PDF Extraction Fallback 7db3aa need to run?

Going by SKILL.md and its folder, PDF Extraction Fallback 7db3aa needs the command-line tools its instructions call (pdftotext and tesseract). Our summary lists: Python 3.

Does PDF Extraction Fallback 7db3aa access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is PDF Extraction Fallback 7db3aa safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does PDF Extraction Fallback 7db3aa use?

PDF Extraction Fallback 7db3aa is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does PDF Extraction Fallback 7db3aa use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to PDF Extraction Fallback 7db3aa?

Skills that share tags, products or a category with PDF Extraction Fallback 7db3aa: Markitdown (ImCa0/just-laws, 782 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), GenOffice Document CLI (genspark-ai/genoffice, 9k stars) and Harness Book Best Practice (wquguru/harness-books, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PDF Extraction Fallback 7db3aa?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,750 GitHub stars. The repository holds 199 skills in this directory. The repository was last updated on August 12, 2026.

Source: HKUDS/OpenSpace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.