kordoc-parse-form

kordoc-parse-form is a skill for Codex from composite/korean-skills. It costs 66 tokens per session (467 once invoked), scanned A, original, MIT.

A document-processing add-on that extracts labeled fields from Korean forms. It works with HWP, HWPX, and PDF files, which are common Korean document formats.

In plain words
What is it for?
Use it for Korean applications, government forms, personnel sheets, contact forms, and other form-like documents.
Why use it?
It turns form documents into structured field-and-value data, reducing the need to read and copy each entry manually.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for Korean applications, government forms, personnel sheets, contact forms, and other form-like documents.

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Install with agentmods
npx agentmods add skills/composite/korean-skills/kordoc-parse-form
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 composite/korean-skills --skill kordoc-parse-form
Clone the repo
git clone --depth 1 https://github.com/composite/korean-skills

Made for: Codex.

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.

agentmods badge for kordoc-parse-form

README.md
[![agentmods](https://agentmods.dev/badge/skills/composite/korean-skills/kordoc-parse-form/github.svg)](https://agentmods.dev/skills/composite/korean-skills/kordoc-parse-form)
Your own site
<a href="https://agentmods.dev/skills/composite/korean-skills/kordoc-parse-form"><img src="https://agentmods.dev/badge/skills/composite/korean-skills/kordoc-parse-form/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.

agentmods 80×15 button for kordoc-parse-form

Your own site · 80×15
<a href="https://agentmods.dev/skills/composite/korean-skills/kordoc-parse-form"><img src="https://agentmods.dev/badge/skills/composite/korean-skills/kordoc-parse-form.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 467 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00467
Opus 5 $0.00033 $0.00234
Sonnet 5 $0.00013 $0.00093
Haiku 4.5 $0.00007 $0.00047

Measured 10d ago against content hash 49b04883528f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

kordoc-parse-form 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 10d ago.

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.

skills/kordoc-parse-form/SKILL.md · 49 lines

What it actually says

kordoc: parse_form

Reproduce the parse_form logic from src/mcp.ts: parse the document, then run extractFormFields.

Input Requirements

  • Require exactly one target document.
  • Require the user to attach the document or provide a concrete local path.
  • Accept only supported formats: .hwp, .hwpx, .pdf.
  • Prefer form-like or table-heavy office documents.
  • Do not proceed if the document is missing.

Command

npm exec --yes --package=kordoc --package=pdfjs-dist -- node <<'SCRIPT'
const p = require("path"), fs = require("fs");
const nmBin = process.env.PATH.split(p.delimiter).find(d => d.endsWith(".bin"));
const kUrl = "file:///" + p.join(p.resolve(nmBin, ".."), "kordoc", "dist", "index.js").split(p.sep).join("/");
import(kUrl).then(async (k) => {
  const filePath = "/abs/path/form.hwpx";
  const raw = fs.readFileSync(filePath);
  const buffer = raw.buffer.slice(raw.byteOffset, raw.byteOffset + raw.byteLength);
  const result = await k.parse(buffer);
  if (!result.success) throw new Error(result.error);
  console.log(JSON.stringify(k.extractFormFields(result.blocks), null, 2));
}).catch(e => { console.error(e); process.exit(1); });
SCRIPT

Workflow

  1. Resolve the document path to an absolute path.
  2. Parse the file once.
  3. Run extractFormFields(result.blocks).
  4. Return structured JSON and preserve confidence if present.

Guardrails

  • Keep the output structured.
  • Do not invent missing field values.
  • If the document is not form-like, say so and suggest a normal parse instead.
  • Refuse to continue when no supported document was provided.
Files

What ships with it

1 file 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.

  1. 10d ago First seen · 49 lines · 66 tokens per session scan A 49b04883528f

Subscribe to this mod's changes

kordoc-parse-form is a skill published in the GitHub repository composite/korean-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 467 once invoked, about $0.0003 per session on Opus 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 2026-08-31.