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faostat-country-profile

faostat-country-profile is a skill for Claude Code from berba-q/faostat-skills. It costs 108 tokens per session (2,521 once invoked), scanned A, original, MIT.

A country-level report on food security and agriculture built from FAOSTAT, the United Nations food and agriculture statistics database. It covers production, trade, nutrition, calorie supply and hunger indicators.

In plain words
What is it for?
Use it to assess a country's food supply, farming output, imports and exports, undernourishment and nutrition situation.
Why use it?
It brings several kinds of official country data together, so you do not have to collect and compare them manually.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the faostat-skills plugin — 14 skills, 14 commands shipped together

not rated 8repo +1 4mo ago A scan 108 tokens original MIT

Good fit Use it to assess a country's food supply, farming output, imports and exports, undernourishment and nutrition situation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/berba-q/faostat-skills/country-profile
View source ↗ berba-q/faostat-skills
Install

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.

Any agent
npx skills add berba-q/faostat-skills --skill country-profile
Clone the repo
git clone --depth 1 https://github.com/berba-q/faostat-skills

Made for: Claude Code.

Or install faostat-skills, the plugin that ships this one along with the rest of its 14 skills, 14 commands.

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.

agentmods badge for faostat-country-profile

README.md
[![agentmods](https://agentmods.dev/badge/skills/berba-q/faostat-skills/country-profile/github.svg)](https://agentmods.dev/skills/berba-q/faostat-skills/country-profile)
Your own site
<a href="https://agentmods.dev/skills/berba-q/faostat-skills/country-profile"><img src="https://agentmods.dev/badge/skills/berba-q/faostat-skills/country-profile/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.

agentmods 80×15 button for faostat-country-profile

Your own site · 80×15
<a href="https://agentmods.dev/skills/berba-q/faostat-skills/country-profile"><img src="https://agentmods.dev/badge/skills/berba-q/faostat-skills/country-profile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,521 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00108 $0.02521
Opus 5 $0.00054 $0.01260
Sonnet 5 $0.00022 $0.00504
Haiku 4.5 $0.00011 $0.00252

Measured 12d ago against content hash a071a65ea17f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

faostat-country-profile 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 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.

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.

skills/country-profile/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Country Food Security Profile

Generate a comprehensive food security and agricultural profile for a given country using FAOSTAT data.

Prerequisites

Verify that the following FAOSTAT MCP tools are available before proceeding:

  • faostat_search_codes
  • faostat_get_data
  • faostat_get_rankings
  • faostat_list_domains

If any tool is missing, inform the user: "This skill requires the FAOSTAT MCP server to be connected. Please ensure it is running and try again."

Domain Reference

Domain Code Used for
Crops & Livestock Products QCL Production quantities
Food Security FS Undernourishment and food-insecurity indicators
Food Balance Sheets (2010-) FBS Dietary energy, protein, fat supply
Crops & Livestock Trade (aggregate) TCL Country-level import/export totals
Detailed Trade Matrix TM Bilateral partner breakdown (use only when partner data is needed)

Element Code Reference

Element codes below are verified hints. Resolve at runtime via faostat_search_codes before use.

  • Production quantity (QCL): filter 2510, display 5510
  • Import quantity (TCL): filter 2610; Export quantity (TCL): filter 2910
  • Import value (TCL, USD 1000): filter 2612; Export value (TCL, USD 1000): filter 2912
  • FBS Food supply (kcal/capita/day): filter 664
  • FBS Protein (g/capita/day): filter 674
  • FBS Fat (g/capita/day): filter 684
  • FBS Food supply (kg/cap/yr): filter 645
  • FS Prevalence of undernourishment: filter 210041; FS Number undernourished: filter 210011

For faostat_get_data use FILTER codes. For faostat_get_rankings use DISPLAY codes.

Workflow

Step 1: Accept Country Input

Identify the country name from the user's message or ask for it if not provided.

Step 2: Resolve Country Code

Call faostat_search_codes(domain_code='QCL', dimension_id='area', query='<country_name>').

CRITICAL: If the response contains requires_confirmation: true, present ALL matching options to the user and ask them to select the correct one. Do NOT proceed until the user confirms. This commonly happens with names like "China" (mainland vs. aggregate), "Sudan" (former vs. current), or "Korea".

Read the full file on GitHub · 184 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.

  1. 12d ago First seen · 184 lines · 108 tokens per session scan A a071a65ea17f

Subscribe to this mod's changes

faostat-country-profile is a skill published in the GitHub repository berba-q/faostat-skills (8 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 2,521 once invoked, about $0.0005 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.

Analytics and metricsClaude CodeScientificagricultureai-skillsclaude-code-plugincodexfaostat
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