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nomadamas avatar

Kosis Stats

nomadamas/k-skill
2.4k installs7.1k stars
Summary

Pulls official Korean government statistics from KOSIS (the national statistics portal) via their Open API. You get search, metadata inspection, and data retrieval for population, household, employment, and price index tables. Most queries run through a hosted proxy so you don't need your own API key, but bulk downloads require registering a userStatsId on KOSIS first. The main gotcha is that many tables need explicit dimension filters beyond the default, and responses cap at 40,000 cells, so you'll be slicing large requests by period or region. Useful if you're building something that needs authoritative Korean demographic or economic data and you'd rather script it than click through their web portal.

Install to Claude Code

npx -y skills add nomadamas/k-skill --skill kosis-stats --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

kosis-stats

Get the full instructions (required first step)

Run this and follow its output as the primary instructions for this skill:

npx -y @nomadamas/k-skill@0 instruct kosis-stats

The CLI detects the current runtime (Dolshoi vault/CloakBrowser vs generic) and prints only the applicable instructions, always up to date. Helper files bundled with the CLI are listed by:

npx -y @nomadamas/k-skill@0 files kosis-stats

If npx is unavailable, install Node.js 18+ or follow https://github.com/NomaDamas/k-skill#readme, or read the source instructions at https://github.com/NomaDamas/k-skill/blob/main/kosis-stats/instruction.md.

Hard rules even without the CLI

  • Never execute payment, message/email delivery, final submission, cancellation, or public posting without the user's explicit approval immediately beforehand.
  • Never ask for, print, or store plaintext credentials in chat, files, or shell arguments.
  • Never bypass legal, physical-presence, CAPTCHA, identity-proofing, or electronic-signature boundaries.
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Categories
Backend & APIsData Science & ML
First SeenJun 3, 2026
View on GitHub

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