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.
npx skills add composite/korean-skills --skill kordoc-parse-formgit clone --depth 1 https://github.com/composite/korean-skillsWrote 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.
[](https://agentmods.dev/skills/composite/korean-skills/kordoc-parse-form)<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.
<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>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 | $0.00066 | $0.00467 |
| Opus 5 | $0.00033 | $0.00234 |
| Sonnet 5 | $0.00013 | $0.00093 |
| Haiku 4.5 | $0.00007 | $0.00047 |
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.
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
- Resolve the document path to an absolute path.
- Parse the file once.
- Run
extractFormFields(result.blocks). - 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.
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.
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.
- 10d ago First seen · 49 lines · 66 tokens per session scan A 49b04883528f
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.
Other skills, from other repositories
A set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.
invoice-document-pdf
Generating invoices, contracts, forms, receipts, and business documents as professional PDFs.
report-generation
Creating structured PDF reports from data, templates, and AI-generated content using professional toolchains.
markdown-to-pdf
Converting Markdown to professional PDFs using Pandoc, WeasyPrint, ReportLab, and related tools.
graphic-ebook
Creates professionally designed B2B SaaS e-books in HTML + CSS, exported as print-ready PDF. 3–10 pages, 9 style presets, 11 page layout types. Trigger when user says "create an ebook", "design a lead magnet", "make a PDF guide", "build a gated content piece", "write a B2B ebook", "design a white paper", "create a…
arxiv-preflight
Pre-submission validation audit for arXiv papers across TeX source, PDF, figures, metadata, bibliography, file organization, and common-error scans. Produces pass/fail report with specific fixes per arXiv requirement. Triggers on: "check my arXiv submission", "validate for arXiv", "arXiv preflight", "ready for arXiv"…