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python-hwpx-automation

Skill Documents & Content Usable
Works inClaude Code
Usable Scanned — metadata only

HWPX (Korean word processor format) automation eliminates manual document parsing and editing workflows, enabling teams handling Korean language documentatio…

MCP server for AI agents to read, edit, inspect, and validate local HWPX documents.

65 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

HWPX (Korean word processor format) automation eliminates manual document parsing and editing workflows, enabling teams handling Korean language documentation to integrate document processing directly into AI agent pipelines.

Teams managing Korean language documentation requiring programmatic read/edit/validation of HWPX files within agent-based workflows.

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https://github.com/airmang/python-hwpx-automation

By airmang

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install airmang/python-hwpx-automation

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Extract text and metadata from local HWPX documents for reporting
CostFree

Trust Signals Auto-scanned

Stars65Last updated2026-07-29LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-29 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 65 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 65 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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