How do I install the Key Statistics skill?

Run npx skillmds@latest add seokhoonj/key-statistics in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Key Statistics safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Key Statistics?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Key Statistics free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Key Statistics?

seokhoonj (@seokhoonj) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Key Statistics by seokhoonj — Agent Skill

Name: Key Statistics
Author: seokhoonj

Key Statistics

Show the Bank of Korea's top-100 headline economic indicators in one shot from ECOS. Holds no logic of its own -- it calls the pyecos package's CLI (`ecos key-statistics`) and shows the result to the user. Use for a quick snapshot without needing any table code. Trigger phrases: 100대 지표, 주요 경제지표, 한은 핵심 지표, top-100 indicators, key Korean economic indicators, ECOS headline stats.

seokhoonj 99310bb 2.4 KB Updated Sep 17, 2026

File contents

ecos — key statistics (top-100 indicators)

Print the Bank of Korea's curated top-100 indicators -- base rate, CPI, GDP growth, exchange rate, and the rest -- each with its latest value, cycle, and unit. No table code is needed; it is one call. The fetching and parsing live in the pyecos package (on PyPI); this skill is a thin wrapper that calls its CLI and relays the result.

Prerequisite

This plugin calls the ecos CLI, so the package must be installed and an API key set:

pipx install pyecos          # or: pip install pyecos
export ECOS_API_KEY=...       # a free key from https://ecos.bok.or.kr/api/#/

The key can also be stored in ~/.config/pyecos/credentials.json as {"ECOS_API_KEY": "..."}. Without a key the CLI exits with ecos: no ECOS API key ...; relay that and point the user at the ECOS site.

Running

ecos key-statistics [--lang kr|en] [--json]

Options (ecos key-statistics --help is the source of truth):

--lang kr|en — response language (default: kr).
--json — the full list as JSON instead of the text table.

The text output is an aligned table (class, indicator name, latest value, unit) with a row count.

Procedure

Run. No arguments are required.
```
ecos key-statistics
```
Relay the result. Show the CLI's stdout. If the user asked about one indicator, point out its row; the list is grouped by class (interest rates, prices, ...), so you can filter to the group they asked for.
Follow up. For a full time series of any one indicator rather than just its latest value, hand off to the series skill (find its code first with catalog).
Error handling. Relay the one-line ecos: <message> from stderr as-is -- the same key and install errors as the other ecos skills apply.

What this skill does not do

It does not re-implement fetching or parsing (the package does); it always calls the CLI.
It shows latest values only -- for a full time series, use the series skill.

---name: key-statisticsdescription: Show the Bank of Korea's top-100 headline economic indicators in one shot from ECOS. Holds no logic of its own -- it calls the pyecos package's CLI (`ecos key-statistics`) and shows the result to the user. Use for a quick snapshot without needing any table code. Trigger phrases: 100대 지표, 주요 경제지표, 한은 핵심 지표, top-100 indicators, key Korean economic indicators, ECOS headline stats.---# ecos — key statistics (top-100 indicators)Print the Bank of Korea's curated top-100 indicators -- base rate, CPI, GDP growth,exchange rate, and the rest -- each with its latest value, cycle, and unit. No table codeis needed; it is one call. The fetching and parsing live in the pyecos package (on PyPI);this skill is a thin wrapper that calls its CLI and relays the result.## PrerequisiteThis plugin calls the `ecos` CLI, so the package must be installed and an API key set:```pipx install pyecos # or: pip install pyecosexport ECOS_API_KEY=... # a free key from https://ecos.bok.or.kr/api/#/```The key can also be stored in `~/.config/pyecos/credentials.json` as`{"ECOS_API_KEY": "..."}`. Without a key the CLI exits with`ecos: no ECOS API key ...`; relay that and point the user at the ECOS site.## Running```ecos key-statistics [--lang kr|en] [--json]```Options (`ecos key-statistics --help` is the source of truth):- `--lang kr|en` — response language (default: kr).- `--json` — the full list as JSON instead of the text table.The text output is an aligned table (class, indicator name, latest value, unit) with arow count.## Procedure1. **Run.** No arguments are required. ```bash ecos key-statistics ```2. **Relay the result.** Show the CLI's stdout. If the user asked about one indicator, point out its row; the list is grouped by class (interest rates, prices, ...), so you can filter to the group they asked for.3. **Follow up.** For a full time series of any one indicator rather than just its latest value, hand off to the **series** skill (find its code first with **catalog**).4. **Error handling.** Relay the one-line `ecos: <message>` from stderr as-is -- the same key and install errors as the other ecos skills apply.## What this skill does not do- It does not re-implement fetching or parsing (the package does); it always calls the CLI.- It shows latest values only -- for a full time series, use the **series** skill.

Frequently asked questions