A tool for converting Korean Hangul word-processor files—HWP, HWPX, and HWPML—into Markdown or structured JSON while retaining document elements such as headings, tables, lists, images, footnotes, and links.

Use it to parse Korean word-processor files and prepare their contents for language models, retrieval systems, review, or document processing.

It avoids manually copying content from Korean government or business documents into a format that people and AI systems can process.

oma-hwp — Skill for Claude Code by first-fluke/oh-my-agent

About the project

oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.

first-fluke/oh-my-agent · 1,353 stars · on GitHub · firstfluke.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add first-fluke/oh-my-agent --skill oma-hwp

Clone the repo

git clone --depth 1 https://github.com/first-fluke/oh-my-agent

Made for: Claude Code.

Or install oma, the plugin that ships this one along with the rest of its 33 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-hwp/github.svg)](https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-hwp)

Your own site

<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-hwp"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-hwp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-hwp"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-hwp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,153 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00038	$0.02153
Opus 5.5	$0.00015	$0.00861
Sonnet 5.5	$0.00008	$0.00431
Haiku 4.5	$0.00004	$0.00215

Measured 1mo ago against content hash b51284d38dea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

oma-hwp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (resources/balanced-tables.ts, resources/flatten-tables.ts, resources/turndown-plugin-gfm.d.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

oma-hwp — 100% identical, 0 lines differ

.agents/skills/oma-hwp/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HWP Skill - HWP / HWPX / HWPML to Markdown Conversion

Scheduling

Goal

Convert Korean HWP-family documents into readable Markdown or structured JSON while preserving document structure for LLM context, RAG, government-document review, or enterprise document processing.

Intent signature

User asks to convert, parse, read, extract, or transform .hwp, .hwpx, or .hwpml.
User mentions Korean word processor files, Hangul documents, government forms, or "한글 파일".
User needs headings, tables, nested tables, lists, images, footnotes, or hyperlinks extracted from HWP-family files.

When to use

Converting Korean HWP documents (.hwp, .hwpx, .hwpml) to Markdown
Preparing Korean government/enterprise documents for LLM context or RAG
Extracting structured content (tables, headings, lists, images) from HWP
User says "convert this HWP", "parse hwpx", "HWP to markdown", "한글 파일"

When NOT to use

PDF files -> use oma-pdf (OCR + Tagged PDF specialization)
XLSX / DOCX files -> out of scope; run bunx kordoc directly if needed (note: oma-docs is the documentation-drift skill, not a converter)
Generating or editing HWP documents -> out of scope (kordoc itself supports generate / fill / seal / patch / redact / lint / validate / render subcommands; run bunx kordoc@latest <subcommand> directly if needed)
Already-text files -> use Read tool directly

Expected inputs

input_path: .hwp, .hwpx, or .hwpml file path
output_path or output_dir: optional explicit output target
format: optional output format — markdown (default), json (structured AST), or chunks (RAG-oriented structural chunk JSON with heading breadcrumbs and standalone table chunks)
page_range: optional page or section range
kordoc_version: optional pinned kordoc version

Expected outputs

Markdown output next to the input file or in the requested directory
Optional JSON or RAG-chunks output when requested
Post-processed Markdown with flattened GFM tables and stripped Private Use Area glyphs by default
A short report with output path, detected source format, and conversion issues

Read the full file on GitHub · 166 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago Changed · -3 lines · -21 tokens per session b51284d38dea
1mo ago First seen · 169 lines · 59 tokens per session scan A 8dc66c216d63

Subscribe to this mod's changes

oma-hwp is a skill published in the GitHub repository first-fluke/oh-my-agent (1,353 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 2,153 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Documents Multi-Agent agent-harness agent-skills codex cursor

pdf

A set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.

agentscope-ai/QwenPaw · 95 tokens

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Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

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oma-hwp