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 wentorai/research-plugins --skill imf-data-api-guidegit clone --depth 1 https://github.com/wentorai/research-pluginsWrote 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/wentorai/research-plugins/imf-data-api-guide)<a href="https://agentmods.dev/skills/wentorai/research-plugins/imf-data-api-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/imf-data-api-guide/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/wentorai/research-plugins/imf-data-api-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/imf-data-api-guide.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 | $0.00017 | $0.01694 |
| Opus 5 | $0.00009 | $0.00847 |
| Sonnet 5 | $0.00003 | $0.00339 |
| Haiku 4.5 | $0.00002 | $0.00169 |
Grade C, and why
imf-data-api-guide 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 7d 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.
curl -s "https://www.imf.org/external/datamapper/api/v1" | python3 -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://www.imf.org/external/datamapper/api/v1/NGDP_RPCH?periods=2024" How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IMF Data API Guide
Overview
The International Monetary Fund (IMF) provides a free JSON-based REST API for accessing its extensive collection of macroeconomic and financial datasets. The API covers data from virtually every country and territory, spanning indicators such as GDP, inflation, trade balances, exchange rates, government finance statistics, and balance of payments.
For economics researchers, the IMF API is an essential tool for accessing authoritative international economic data without manual downloads. The data powers research in macroeconomics, development economics, international finance, and policy analysis. The API provides access to key datasets including the World Economic Outlook (WEO), International Financial Statistics (IFS), Balance of Payments Statistics (BOP), and the Direction of Trade Statistics (DOTS).
The API requires no authentication and returns JSON data. It uses a hierarchical structure of datasets, indicators, and country/time dimensions.
Authentication
No authentication is required. The IMF Data API is completely free and open.
# No API key needed
curl "https://www.imf.org/external/datamapper/api/v1/NGDP_RPCH?periods=2024"
Core Endpoints
List Available Datasets
GET https://www.imf.org/external/datamapper/api/v1
curl -s "https://www.imf.org/external/datamapper/api/v1" | python3 -m json.tool
List Indicators in a Dataset
GET https://www.imf.org/external/datamapper/api/v1/indicators
Get Data for an Indicator
GET https://www.imf.org/external/datamapper/api/v1/{indicator}?periods={year}
Common Indicators:
NGDP_RPCH: Real GDP growth (annual percent change)PCPIPCH: Inflation, consumer prices (annual percent change)BCA_NGDPD: Current account balance (percent of GDP)GGXWDG_NGDP: Government gross debt (percent of GDP)LUR: Unemployment rate
Example: Get real GDP growth for all countries in 2024:
curl -s "https://www.imf.org/external/datamapper/api/v1/NGDP_RPCH?periods=2024" \
| python3 -m json.tool
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.
- 7d ago First seen · 175 lines · 17 tokens per session scan C 378034852b9b
imf-data-api-guide is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 1,694 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.