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-metadatagit 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-metadata)<a href="https://agentmods.dev/skills/composite/korean-skills/kordoc-parse-metadata"><img src="https://agentmods.dev/badge/skills/composite/korean-skills/kordoc-parse-metadata/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-metadata"><img src="https://agentmods.dev/badge/skills/composite/korean-skills/kordoc-parse-metadata.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 | $0.00064 | $0.00555 |
| Opus 5 | $0.00032 | $0.00278 |
| Sonnet 5 | $0.00013 | $0.00111 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
kordoc-parse-metadata 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kordoc: parse_metadata
src/mcp.ts uses internal metadata-only helpers, but the public npx kordoc surface does not expose that fast path. With npx only, emulate the tool by parsing JSON and returning just the metadata fields.
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. - Do not proceed if the document is missing or the path is ambiguous.
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/document.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({
fileType: result.fileType ?? null,
pageCount: result.pageCount ?? null,
metadata: result.metadata ?? null,
outline: result.outline ?? null,
warnings: result.warnings ?? null
}, null, 2));
}).catch(e => { console.error(e); process.exit(1); });
SCRIPT
Workflow
- Resolve the target file to an absolute path.
- Parse the file using the library API.
- Return only metadata-oriented fields.
- Say clearly that this path performs a full parse because metadata-only internals are not exposed through the public CLI.
Guardrails
- Keep the answer focused on metadata.
- Do not invent missing fields.
- If the user truly needs the fastest possible metadata-only path, note that the source tree has a private implementation but this skill is intentionally
npx-only. - 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 · 54 lines · 64 tokens per session scan A 2dce739a01fc
kordoc-parse-metadata is a skill published in the GitHub repository composite/korean-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 555 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.
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