A connector for the International Monetary Fund’s World Economic Outlook and COFER datasets. The World Economic Outlook contains historical figures and forecasts for countries and regions, while COFER tracks the currency composition of official reserves.

Use it to retrieve GDP growth, inflation, government debt, unemployment, trade balances, reserve-currency composition, and related IMF indicators.

It gives a defined way to request macroeconomic data with the correct country, indicator, year, forecast, and dataset settings.

imf — Skill for Claude Code and Codex by serejaris

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/serejaris/kimi-skills

agentmods

npx agentmods add skills/serejaris/kimi-skills/imf

Made for: Claude Code, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/imf/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/imf)

Your own site

<a href="https://agentmods.dev/skills/serejaris/kimi-skills/imf"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/imf/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/serejaris/kimi-skills/imf"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/imf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 849 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 2 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.

Model	Per session	Once invoked
Fable 5.1	$0.00055	$0.00849
Opus 5	$0.00028	$0.00425
Sonnet 5	$0.00011	$0.00170
Haiku 4.5	$0.00006	$0.00085

Measured 12d ago against content hash ee2c0b3d564c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

imf scanned grade C with 2 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 12d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"

plugin-skills/imf/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IMF

Use this skill to answer questions that require IMF macroeconomic data, World Economic Outlook data, or COFER reserve currency composition data.

Setup

Check whether the agent-gw Python SDK is available in the current Python environment, and install it only if the check fails:

python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"

The SDK needs an API key from api_key=..., KIMI_API_KEY, or ~/.kimi/agent-gw.json.

Workflow

Run python3 scripts/imf_tool.py describe from the plugin directory to call get_data_source_desc({"name": "imf"}).
Read the returned Markdown carefully. It contains the overall data source rules, country and region formats, indicator names, dataset constraints, and each API's description, required parameters, optional parameters, defaults, and allowed values.
Select the API that best matches the user's question.
Build params exactly from the Markdown requirements. Pay attention to country or region, indicator, year or date range, forecast versus historical periods, dataset or source table, unit, and frequency requirements.
Use python3 scripts/imf_tool.py call to call call_data_source_tool.
If the call fails, explain the failure reason from the response.
If the call succeeds, save any returned files first, then answer using resp.result.assistant; ignore resp.result.user unless display content is specifically needed.

Common Use Cases

Cross-country comparison of GDP growth, inflation, unemployment, government debt, current account, trade balance, or other macroeconomic indicators.
Historical macroeconomic trend analysis and World Economic Outlook forecasts.
Policy research that requires IMF country, region, or global macro data.
COFER analysis of official foreign exchange reserve currency shares such as USD, EUR, CNY, JPY, GBP, CHF, AUD, and CAD.

Read the full file on GitHub · 91 lines

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.

12d ago First seen · 91 lines · 55 tokens per session scan C ee2c0b3d564c

Subscribe to this mod's changes

imf is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 849 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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