Agent skill

DOCX Parse Resilient

by HKUDS in HKUDS/OpenSpace

Extract text from DOCX files with shell-primary approach and Python zipfile fallback for maximum reliability

MITAuto-check passedDocuments & Office

Install DOCX Parse Resilient

skills CLI
$ npx skills add HKUDS/OpenSpace --skill docx-parse-resilient -a claude-code

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace docx-parse-resilient --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/docx-shell-parse-enhanced .claude/skills/docx-parse-resilient && 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
docx-parse-resilient
GitHub stars
7.7k
Token cost
~1.9k tokens
SKILL.md length
321 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Extract text from DOCX files with shell-primary approach and Python zipfile fallback for maximum reliability

  • Works in 5 steps: Verify the DOCX file exists → Test shell extraction first (recommended) → Check if shell extraction produced output → …
  • Tasks that involve Word documents
  • SKILL.md covers When to Use, Core Technique, Step-by-Step Instructions and Complete Shell Function with…, plus 5 more sections
  • Calls python3

What it does

DOCX Parse Resilient is an agent skill from HKUDS/OpenSpace. Extract text from DOCX files with shell-primary approach and Python zipfile fallback for maximum reliability

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Documents & Office, covering Word documents. It works with Microsoft Word and Python. 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 Word documents

Example prompts

  • “/docx-parse-resilient”

Requirements

  • Python 3

Workflow steps

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

  1. Verify the DOCX file exists
  2. Test shell extraction first (recommended)
  3. Check if shell extraction produced output
  4. Use Python zipfile fallback if needed
  5. Save extracted text to file

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:

    • python3

    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

DOCX Parse Resilient loads about 1.9k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 321 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
~1.9k

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). 321 words, ~1,860 tokens.

Download SKILL.mdSave it as .claude/skills/docx-parse-resilient/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
docx-parse-resilient
description
Extract text from DOCX files with shell-primary approach and Python zipfile fallback for maximum reliability

Resilient DOCX Text Extraction

Extract text from Microsoft Word (.docx) files using a robust two-tier approach: shell-based extraction as the primary method, with Python zipfile fallback when shell commands fail or return no output.

When to Use

  • Python environment may lack python-docx but zipfile module is available (standard library)
  • Working in constrained or inconsistent environments (containers, minimal images, CI/CD)
  • Shell unzip command returns errors or no output
  • Need reliable extraction with automatic fallback

Core Technique

DOCX files are ZIP archives containing XML files. This skill provides two extraction methods:

  1. Primary (Shell): unzip -p + sed for fast extraction
  2. Fallback (Python): zipfile module for reliable extraction when shell fails

Step-by-Step Instructions

1. Verify the DOCX file exists
bash
ls -la document.docx

Try the shell-based approach:

bash
unzip -p document.docx word/document.xml 2>/dev/null | sed -e 's/<[^>]*>//g'
3. Check if shell extraction produced output

Verify the shell method returned content:

bash
content=$(unzip -p document.docx word/document.xml 2>/dev/null | sed -e 's/<[^>]*>//g')
if [ -z "$content" ]; then
    echo "Shell extraction returned no output, trying Python fallback..."
fi
4. Use Python zipfile fallback if needed

When shell commands fail or return empty output, use Python's standard zipfile module:

bash
python3 -c "
import zipfile
import sys
import re

try:
    with zipfile.ZipFile('document.docx', 'r') as z:
        content = z.read('word/document.xml').decode('utf-8')
        # Strip XML tags
        text = re.sub(r'<[^>]*>', '', content)
        # Clean whitespace
        lines = [line.strip() for line in text.split('\n') if line.strip()]
        print('\n'.join(lines))
except Exception as e:
    print(f'Error: {e}', file=sys.stderr)
    sys.exit(1)
"
5. Save extracted text to file
bash
# Try shell first
unzip -p document.docx word/document.xml 2>/dev/null | \
  sed -e 's/<[^>]*>//g' > output.txt

# Verify output has content
if [ ! -s output.txt ]; then
    # Fallback to Python
    python3 -c "
import zipfile, re
with zipfile.ZipFile('document.docx', 'r') as z:
    content = z.read('word/document.xml').decode('utf-8')
    text = re.sub(r'<[^>]*>', '', content)
    lines = [line.strip() for line in text.split('\n') if line.strip()]
    print('\n'.join(lines))
" > output.txt
fi

Complete Shell Function with Fallback

Add this resilient function to your scripts:

bash
parse_docx_resilient() {
    local file="$1"
    local output="$2"
    
    if [ ! -f "$file" ]; then
        echo "Error: File not found: $file" >&2
        return 1
    fi
    
    # Primary: Shell extraction
    local content
    content=$(unzip -p "$file" word/document.xml 2>/dev/null | \
        sed -e 's/<[^>]*>//g' | \
        sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//' | \
        sed -e '/^$/d')
    
    # Check if shell extraction succeeded
    if [ -n "$content" ]; then
        echo "$content" > "${output:-/dev/stdout}"
        return 0
    fi
    
    # Fallback: Python zipfile
    echo "Shell extraction failed, using Python fallback..." >&2
    python3 -c "
import zipfile, sys, re
try:
    with zipfile.ZipFile('$file', 'r') as z:
        content = z.read('word/document.xml').decode('utf-8')
        text = re.sub(r'<[^>]*>', '', content)
        lines = [line.strip() for line in text.split('\n') if line.strip()]
        print('\n'.join(lines))
except Exception as e:
    print(f'Python extraction failed: {e}', file=sys.stderr)
    sys.exit(1)
" > "${output:-/dev/stdout}" || return 1
}

# Usage examples:
# parse_docx_resilient document.docx          # Output to stdout
# parse_docx_resilient document.docx out.txt  # Output to file

Python Script Alternative

For complex workflows, save as a standalone script:

python
#!/usr/bin/env python3
"""DOCX text extractor with resilient fallback."""

import zipfile
import sys
import re
import subprocess

def extract_with_shell(filepath):
    """Try shell-based extraction first."""
    try:
        result = subprocess.run(
            ['unzip', '-p', filepath, 'word/document.xml'],
            capture_output=True, text=True, timeout=10
        )
        if result.returncode == 0 and result.stdout.strip():
            text = re.sub(r'<[^>]*>', '', result.stdout)
            lines = [l.strip() for l in text.split('\n') if l.strip()]
            return '\n'.join(lines)
    except Exception:
        pass
    return None

def extract_with_python(filepath):
    """Fallback Python zipfile extraction."""
    with zipfile.ZipFile(filepath, 'r') as z:
        content = z.read('word/document.xml').decode('utf-8')
        text = re.sub(r'<[^>]*>', '', content)
        lines = [l.strip() for l in text.split('\n') if l.strip()]
        return '\n'.join(lines)

def parse_docx_resilient(filepath):
    """Extract text with automatic fallback."""
    # Try shell first
    content = extract_with_shell(filepath)
    if content:
        return content, 'shell'
    
    # Fallback to Python
    content = extract_with_python(filepath)
    return content, 'python'

if __name__ == '__main__':
    if len(sys.argv) < 2:
        print("Usage: parse_docx_resilient.py <file.docx>", file=sys.stderr)
        sys.exit(1)
    
    content, method = parse_docx_resilient(sys.argv[1])
    if content:
        print(f"# Extracted using {method} method", file=sys.stderr)
        print(content)
    else:
        print("Failed to extract text from DOCX", file=sys.stderr)
        sys.exit(1)

Limitations

  • Does not preserve formatting, images, or tables structure
  • May include some residual XML entity references
  • Works best for simple text extraction needs
  • DOCX must be a valid Office Open XML format
  • Python fallback requires Python 3 with standard library (no external packages)

Verification

Confirm extraction worked by checking output:

bash
# Test shell method
parse_docx_resilient document.docx | head -20

# Test with file output
parse_docx_resilient document.docx extracted.txt
wc -l extracted.txt  # Should show line count > 0

# Verify content
grep -c "[a-zA-Z]" extracted.txt  # Should show character content

Troubleshooting

Shell returns "unknown error" or no output:

  • This is expected in some environments
  • The function automatically falls back to Python zipfile
  • Check which unzip to verify unzip is available

Python also fails:

  • Verify the file is a valid DOCX: file document.docx
  • Check if file is corrupted: unzip -t document.docx
  • Ensure Python 3 is available: python3 --version

File not found errors:

  • Use absolute path or verify working directory
  • Check file permissions: ls -la document.docx

Environment Detection

To pre-detect which method to use:

bash
# Check if unzip is available
if command -v unzip &> /dev/null; then
    echo "Shell method available"
else
    echo "Only Python method available"
fi

# Check if Python 3 is available
if command -v python3 &> /dev/null; then
    echo "Python fallback available"
else
    echo "Warning: No extraction method available!"
fi

© 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/docx-shell-parse-enhanced of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

DOCX Parse Resilient 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.

DOCX Parse Resilient compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
DOCX Parse Resilient this skillHKUDS/OpenSpace7.7k—~1.9kAutomated safety check: PassMIT
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0
Word DOCX ToolkitTokenRhythm/opensquilla7.1k—~1.7kAutomated safety check: PassApache-2.0
Markdown to Word Convertercat-xierluo/SuitAgent206—~559Automated safety check: PassMIT
Software Certificate SkillIvanCodesDev/software-certificate-skill156—~1.6kAutomated safety check: PassMIT
Doc Cleanernotoriouslab/doc-cleaner309—~712Automated safety check: PassMIT

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Questions about DOCX Parse Resilient

What does DOCX Parse Resilient do?

Extract text from DOCX files with shell-primary approach and Python zipfile fallback for maximum reliability. DOCX Parse Resilient is an agent skill from HKUDS/OpenSpace.

When should I use DOCX Parse Resilient?

DOCX Parse Resilient fits situations like: tasks that involve Word documents.

How do I install DOCX Parse Resilient in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill docx-parse-resilient -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/docx-shell-parse-enhanced in HKUDS/OpenSpace) into .claude/skills/docx-parse-resilient in your project. Claude Code loads it when a task matches its description.

How do I install DOCX Parse Resilient in Codex?

Run `npx skills add HKUDS/OpenSpace --skill docx-parse-resilient -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/docx-shell-parse-enhanced in HKUDS/OpenSpace) into .agents/skills/docx-parse-resilient in your project. Codex loads it when a task matches its description.

Can I use DOCX Parse Resilient 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 docx-parse-resilient -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/docx-parse-resilient, .gemini/skills/docx-parse-resilient, .github/skills/docx-parse-resilient and .opencode/skills/docx-parse-resilient in your project.

What does DOCX Parse Resilient need to run?

Going by SKILL.md and its folder, DOCX Parse Resilient needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does DOCX Parse Resilient 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 DOCX Parse Resilient 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 DOCX Parse Resilient use?

DOCX Parse Resilient 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 DOCX Parse Resilient use?

About 1.9k tokens (SKILL.md is roughly 7.4k 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 DOCX Parse Resilient?

Skills that share tags, products or a category with DOCX Parse Resilient: Word Document Reader and Writer (HKUDS/DeepTutor, 41k stars), Word DOCX Toolkit (TokenRhythm/opensquilla, 7.1k stars), Markdown to Word Converter (cat-xierluo/SuitAgent, 206 stars) and Software Certificate Skill (IvanCodesDev/software-certificate-skill, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains DOCX Parse Resilient?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,749 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.