Agent skill

PDF Text Extraction Fallback 85d5ca

Fallback workflow for extracting text from PDFs when readfile returns binary data

Install PDF Text Extraction Fallback 85d5ca

skills CLI

$ npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a claude-code

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

GitHub CLI

$ gh skill install HKUDS/OpenSpace pdf-text-extraction-fallback-85d5ca --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-text-extraction-fallback-85d5ca .claude/skills/pdf-text-extraction-fallback-85d5ca && 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/

Paste into Claude Code

Install the "pdf-text-extraction-fallback-85d5ca" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca into .claude/skills/pdf-text-extraction-fallback-85d5ca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extraction-fallback-85d5ca", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install HKUDS/OpenSpace pdf-text-extraction-fallback-85d5ca --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca .agents/skills/pdf-text-extraction-fallback-85d5ca && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "pdf-text-extraction-fallback-85d5ca" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca into .agents/skills/pdf-text-extraction-fallback-85d5ca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extraction-fallback-85d5ca", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install HKUDS/OpenSpace pdf-text-extraction-fallback-85d5ca --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca .cursor/skills/pdf-text-extraction-fallback-85d5ca && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "pdf-text-extraction-fallback-85d5ca" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca into .cursor/skills/pdf-text-extraction-fallback-85d5ca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extraction-fallback-85d5ca", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/HKUDS/OpenSpace.git --path benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install HKUDS/OpenSpace pdf-text-extraction-fallback-85d5ca --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca .gemini/skills/pdf-text-extraction-fallback-85d5ca && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "pdf-text-extraction-fallback-85d5ca" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca into .gemini/skills/pdf-text-extraction-fallback-85d5ca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extraction-fallback-85d5ca", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install HKUDS/OpenSpace pdf-text-extraction-fallback-85d5ca

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .github/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca .github/skills/pdf-text-extraction-fallback-85d5ca && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "pdf-text-extraction-fallback-85d5ca" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca into .github/skills/pdf-text-extraction-fallback-85d5ca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extraction-fallback-85d5ca", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install HKUDS/OpenSpace pdf-text-extraction-fallback-85d5ca --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca .opencode/skills/pdf-text-extraction-fallback-85d5ca && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "pdf-text-extraction-fallback-85d5ca" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca into .opencode/skills/pdf-text-extraction-fallback-85d5ca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extraction-fallback-85d5ca", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: pdf-text-extraction-fallback-85d5ca
GitHub stars: 7.8k
Token cost: ~1.2k tokens
SKILL.md length: 290 words
Files: 2
Skills in repo: 199
Repo updated: Aug 12, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Fallback workflow for extracting text from PDFs when readfile returns binary data

Works in 5 steps: Detect Binary/Unreadable PDF Output → Use shell_agent with PDF Tools → Validate Extracted Content → …
Tasks that involve PDF
SKILL.md covers When to Use, Step-by-Step Instructions, Code Example and Tips
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

PDF Text Extraction Fallback 85d5ca is an agent skill from HKUDS/OpenSpace. Fallback workflow for extracting text from PDFs when readfile returns binary data

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. It works with pypdf. 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-text-extraction-fallback-85d5ca”

Requirements

Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Detect Binary/Unreadable PDF Output
Use shell_agent with PDF Tools
Validate Extracted Content
Handle Extraction Failures
Proceed with Data Processing

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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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 Text Extraction Fallback 85d5ca loads about 1.2k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 290 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~30
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). 290 words, ~1,167 tokens.

Download SKILL.mdSave it as .claude/skills/pdf-text-extraction-fallback-85d5ca/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: pdf-text-extraction-fallback-85d5ca
description: Fallback workflow for extracting text from PDFs when read_file returns binary data

PDF Text Extraction Fallback

Use this skill when read_file returns binary data or garbled content for PDF files instead of readable text. This workflow provides a reliable fallback using command-line PDF tools.

When to Use

read_file with filetype: pdf returns binary data, unreadable characters, or errors
You need to extract text from a PDF to process its contents
Standard file reading methods fail to extract usable text

Step-by-Step Instructions

Step 1: Detect Binary/Unreadable PDF Output

After attempting to read a PDF with read_file, check if the output is:

Binary data (contains null bytes, non-printable characters)
Garbled text with many special characters
Empty or truncated content

# Example of problematic output from read_file
%PDF-1.4
1 0 obj
<< /Type /Catalog ...

If the output looks like raw PDF structure or binary, proceed to Step 2.

Step 2: Use shell_agent with PDF Tools

Invoke shell_agent to extract text using pdftotext (preferred) or pdfplumber (Python fallback):

Task: Extract all text content from <filename.pdf> using pdftotext or pdfplumber.
Output the extracted text in readable format. If pdftotext is not available, use Python with pdfplumber library.

Example shell_agent invocation:

shell_agent task="Extract text from Move_Out_Inspection_Tracker.pdf using pdftotext. Save output to a .txt file and return the content."

Step 3: Validate Extracted Content

After extraction, validate that the content contains expected text patterns:

python

# Validation checklist
def validate_pdf_extraction(text, expected_patterns=None):
    checks = [
        bool(text.strip()),  # Not empty
        len(text) > 50,  # Has substantial content
        not text.startswith('%PDF'),  # Not raw PDF structure
    ]
    
    if expected_patterns:
        for pattern in expected_patterns:
            checks.append(pattern.lower() in text.lower())
    
    return all(checks)

Common expected patterns to check:

Document-specific keywords (e.g., "inspection", "resident", "date")
Expected data formats (dates, names, IDs)
Minimum word count threshold

Step 4: Handle Extraction Failures

If validation fails:

Try alternative tool: If pdftotext failed, try pdfplumber:

shell_agent task="Extract text from <file.pdf> using Python pdfplumber library. Handle any encoding issues."

Try OCR fallback: For scanned PDFs:

shell_agent task="This PDF may be scanned. Use pytesseract or similar OCR tool to extract text from <file.pdf>."

Report specific error: Document what patterns were expected but not found.

Step 5: Proceed with Data Processing

Once validated text is obtained:

Parse the extracted text for required data
Store or process the content as needed
Continue with the original task workflow

Code Example

python

# Complete extraction workflow
def extract_pdf_text_fallback(pdf_path, expected_patterns=None):
    """Extract text from PDF with fallback handling."""
    
    # Step 1: Try read_file first
    content = read_file(filetype="pdf", file_path=pdf_path)
    
    # Step 2: Check if binary/unreadable
    if is_binary_or_garbled(content):
        # Step 3: Use shell_agent fallback
        result = shell_agent(
            task=f"Extract all text from {pdf_path} using pdftotext. Return the text content."
        )
        content = result.stdout
        
        # Step 4: Validate
        if not validate_pdf_extraction(content, expected_patterns):
            # Try pdfplumber as secondary fallback
            result = shell_agent(
                task=f"Extract text from {pdf_path} using Python pdfplumber library."
            )
            content = result.stdout
    
    return content

def is_binary_or_garbled(text):
    """Check if text appears to be binary or unreadable."""
    if not text:
        return True
    if text.startswith('%PDF'):
        return True
    # Check for high ratio of non-printable characters
    non_printable = sum(1 for c in text if ord(c) > 127 or ord(c) < 32)
    return non_printable / len(text) > 0.3

Tips

pdftotext is typically faster and pre-installed on many systems
pdfplumber handles complex layouts better but requires Python
For scanned PDFs, you'll need OCR tools (tesseract, pytesseract)
Always validate extracted content matches your expected data patterns
Save intermediate extraction results for debugging if needed

Files

SKILL.md and 1 other file in benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca of HKUDS/OpenSpace.

SKILL.md
.skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

PDF Text Extraction Fallback 85d5ca 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 Text Extraction Fallback 85d5ca compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
PDF Text Extraction Fallback 85d5ca this skillHKUDS/OpenSpace	7.8k	—	~1.2k	Automated safety check: Pass	MIT	1 mo ago
PDFnuoyimanaituling/manus-x	830	—	~985	Automated safety check: Pass	None	8 mo ago
PDFeinverne/dotfiles	121	47 repos	~1.8k	Automated safety check: Pass	Proprietary	1 mo ago
Reportlabjimmc414/Kosmos	595	1 repos	~4.2k	Automated safety check: Pass	None	today
PDFguyi-a/pi-ling	106	—	~3.3k	Automated safety check: Pass	MIT	23 days ago
PDF ReadingWide-Moat/open-computer-use	126	1 repos	~2.7k	Automated safety check: Pass	Proprietary	3 days ago

Similar skills

PDF
nuoyimanaituling/manus-x
Process PDF files - extract text, read content, create PDFs, merge or split documents.
830 GitHub stars~985 tokensUpdated 8 mo ago
Documents & OfficeAuto-check passed
PDF
einverne/dotfiles
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms.
121 GitHub starsUsed in 47 repos~1.8k tokens
Documents & OfficeAuto-check passed
Reportlab
jimmc414/Kosmos
PDF generation toolkit. An agent skill from jimmc414/Kosmos.
595 GitHub starsUsed in 1 repo~4.2k tokens
Documents & OfficeAuto-check passed
PDF
guyi-a/pi-ling
PDF 相关的所有操作：从零生成（reportlab / pypdf）、格式转化（md/html → PDF）、修改（合并 / 拆分 / 旋转 / 加水印 / 提图片 / 元数据）、读内容（pdfplumber / extractdocumenttext）、OCR 扫描件、加密解密。触发场景：用户说"生成 PDF" / "做份 PDF 简历" / "合并这几份 PDF" / "给 PDF…
106 GitHub stars~3.3k tokensUpdated 23 days ago
Documents & OfficeAuto-check passed
PDF Reading
Wide-Moat/open-computer-use
A skill your agent uses when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk.
126 GitHub starsUsed in 1 repo~2.7k tokens
Documents & OfficeAuto-check passed
PDF
LeastBit/Claude_skills_zh-CN
全面的 PDF 操作工具包，用于提取文本和表格、创建新 PDF、合并/拆分文档以及处理表单。当 Claude 需要填写 PDF 表单或以编程方式大规模处理、生成或分析 PDF 文档时使用。
588 GitHub stars~1.5k tokensUpdated 8 mo ago
Documents & OfficeAuto-check passed

Questions about PDF Text Extraction Fallback 85d5ca

What does PDF Text Extraction Fallback 85d5ca do?

Fallback workflow for extracting text from PDFs when readfile returns binary data. PDF Text Extraction Fallback 85d5ca is an agent skill from HKUDS/OpenSpace.

When should I use PDF Text Extraction Fallback 85d5ca?

PDF Text Extraction Fallback 85d5ca fits situations like: tasks that involve PDF.

How do I install PDF Text Extraction Fallback 85d5ca in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca in HKUDS/OpenSpace) into .claude/skills/pdf-text-extraction-fallback-85d5ca in your project. Claude Code loads it when a task matches its description.

How do I install PDF Text Extraction Fallback 85d5ca in Codex?

Run `npx skills add HKUDS/OpenSpace --skill pdf-text-extraction-fallback-85d5ca -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-text-extraction-fallback-85d5ca in HKUDS/OpenSpace) into .agents/skills/pdf-text-extraction-fallback-85d5ca in your project. Codex loads it when a task matches its description.

Can I use PDF Text Extraction Fallback 85d5ca 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-text-extraction-fallback-85d5ca -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-text-extraction-fallback-85d5ca, .gemini/skills/pdf-text-extraction-fallback-85d5ca, .github/skills/pdf-text-extraction-fallback-85d5ca and .opencode/skills/pdf-text-extraction-fallback-85d5ca in your project.

What does PDF Text Extraction Fallback 85d5ca need to run?

SKILL.md names no scripts, command-line tools or credentials: PDF Text Extraction Fallback 85d5ca is instructions for the agent only. Our summary lists: Python 3.

Does PDF Text Extraction Fallback 85d5ca 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 Text Extraction Fallback 85d5ca 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 Text Extraction Fallback 85d5ca use?

PDF Text Extraction Fallback 85d5ca 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 Text Extraction Fallback 85d5ca 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 Text Extraction Fallback 85d5ca?

Skills that share tags, products or a category with PDF Text Extraction Fallback 85d5ca: PDF (nuoyimanaituling/manus-x, 830 stars), PDF (einverne/dotfiles, 121 stars), Reportlab (jimmc414/Kosmos, 595 stars) and PDF (guyi-a/pi-ling, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PDF Text Extraction Fallback 85d5ca?

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.

Install PDF Text Extraction Fallback 85d5ca

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

PDF Text Extraction Fallback

When to Use

Step-by-Step Instructions

Step 1: Detect Binary/Unreadable PDF Output

Step 2: Use shell_agent with PDF Tools

Step 3: Validate Extracted Content

Step 4: Handle Extraction Failures

Step 5: Proceed with Data Processing

Code Example

Tips

Files

Compare with similar skills

Similar skills

More from HKUDS/OpenSpace

Related

Questions about PDF Text Extraction Fallback 85d5ca