faostat-guide

faostat-guide is a skill for Claude Code from cyanheads/faostat-mcp-server. It costs 49 tokens per session (1,147 once invoked), scanned A, original, Apache-2.0.

A guide for analysing FAOSTAT food and agriculture statistics, including production, trade, country comparisons, and queries across staged results. FAOSTAT is a database of international food and agriculture data.

In plain words
What is it for?
Use it to resolve FAOSTAT areas, items, and measures, query observations, compare countries, analyse production or trade, and check whether results are complete and current.
Why use it?
It helps prevent misleading conclusions caused by missing years, incomplete country coverage, aggregate areas, mismatched units, or data that has not finished syncing.

Skill for Claude Code

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

Part of the faostat-mcp-server plugin — 35 skills, 1 MCP server shipped together

Good fit Use it to resolve FAOSTAT areas, items, and measures, query observations, compare countries, analyse production or trade, and check whether results are complete and current.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyanheads/faostat-mcp-server/faostat-guide
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 cyanheads/faostat-mcp-server --skill faostat-guide
Clone the repo
git clone --depth 1 https://github.com/cyanheads/faostat-mcp-server

Made for: Claude Code.

Or install faostat-mcp-server, the plugin that ships this one along with the rest of its 35 skills, 1 MCP server.

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-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyanheads/faostat-mcp-server/faostat-guide/github.svg)](https://agentmods.dev/skills/cyanheads/faostat-mcp-server/faostat-guide)
Your own site
<a href="https://agentmods.dev/skills/cyanheads/faostat-mcp-server/faostat-guide"><img src="https://agentmods.dev/badge/skills/cyanheads/faostat-mcp-server/faostat-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.

agentmods 80×15 button for faostat-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyanheads/faostat-mcp-server/faostat-guide"><img src="https://agentmods.dev/badge/skills/cyanheads/faostat-mcp-server/faostat-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,147 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 $0.00049 $0.01147
Opus 5.5 $0.00020 $0.00459
Sonnet 5.5 $0.00010 $0.00229
Haiku 4.5 $0.00005 $0.00115

Measured 4d ago against content hash 8681b56d20e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

faostat-guide 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 4d 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/faostat-guide/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scope

Use FAOSTAT for historical food and agriculture statistics from the domains available in this deployment's local mirror. Catalog presence does not establish local availability or observation coverage. The query surface is an area/item/element/year cube; do not infer bilateral trade partners or sub-national detail from country trade totals.

Identifiers

Obtain domain codes from faostat_list_domains and area, item, and element identities from faostat_resolve_codes. Pass numeric item codes through item_codes; when code is null, pass the exact code_text through item_codes_text. Resolve items and elements in each domain being analyzed; a CPC crosswalk is not an item code. Areas share a vocabulary across domains, so a resolved area alone does not establish observations in the chosen domain.

Use the canvas and table identifiers returned by faostat_query_observations or faostat_commodity_profile. A canvas identifier alone does not establish that the latest call staged a table: check the spill status and returned table name.

Gates

  • Before concluding data is absent, distinguish a domain outside the mirror selection, an unfinished sync or upgrade, an unresolved identity, and an empty observation query. Inspect local sync metadata when freshness matters; the manifest's upstream update date is not proof that the mirror contains that update.
  • Select the intended commodity and metric before calculating. Related raw and processed products are separate items. Keep units and elements separate in sums and comparisons; never replace a missing value with zero or present unflagged, estimated, or imputed data as official.
  • Resolve elements with item_codes or item_codes_text to discover that item's metrics and observed units. These matches establish item/element compatibility, not coverage for particular countries, years, or sources. An empty observation query can return available_elements for the same purpose.
  • Check period and value_qualifier before using a value. A reporting period such as 2000-2002 uses its midpoint as year for filtering; it remains a period observation. A value of 2.5 with qualifier < is an upper bound, not an exact measurement. Preserve the qualifier in calculations and conclusions.
  • Keep source_code and source in the identity of observations when present. GLE can report multiple source estimates for the same area, item, element, and year; select a source or compare them separately rather than adding them together.
  • For a same-year country ranking, restrict the analysis to that year. The commodity profile otherwise takes each country's own latest available year; report those years rather than describing the ranking as a common-year comparison.
  • Choose either a published regional aggregate or its constituent countries for a total. Explicit area selections bypass automatic aggregate exclusion, so inspect the resolved country/aggregate classification even when the default exclusion is on.
  • Inspect item kind separately: aggregate marks a verified domain-specific group that can overlap its members. Classification is incomplete; null means unclassified and does not establish that an item is safe to sum with other items. Item groups remain included in observation queries.
  • Before calculating a complete-set statistic, read notices and truncation disclosures. An inline page may be incomplete even without a staged table. A truncated staged table lacks part of the source population; SQL pagination cannot recover those missing observations. Narrow or partition retrieval until every required slice is complete.
  • Treat unavailable trade in a production-only profile as unavailable, not zero. Read trend observation counts alongside values: changing reporting coverage can change the total independently of production.

Read the full file on GitHub · 50 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. 4d ago Changed · +4 lines 8681b56d20e8
  2. 11d ago First seen · 46 lines · 49 tokens per session scan A 61383cea0d74

Subscribe to this mod's changes

faostat-guide is a skill published in the GitHub repository cyanheads/faostat-mcp-server (3 stars, last pushed 5d ago), licensed Apache-2.0. It adds 49 tokens to every session and 1,147 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-28.

Related

faostat-guide compared with skills from other repositories

faostat-guide next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
faostat-guidecyanheads/faostat-mcp-serverSkill35d agoApache-2.0A49Claude Code
faostat-scientific-paperberba-q/faostat-skillsSkill106mo agoMITA218Claude Code
faostat-analytical-briefberba-q/faostat-skillsSkill106mo agoMITA183Claude Code
faostat-climateberba-q/faostat-skillsSkill106mo agoMITA138Claude Code
faostat-commodityberba-q/faostat-skillsSkill106mo agoMITA124Claude Code
faostat-mapberba-q/faostat-skillsSkill106mo agoMITA127Claude Code
faostat-country-profileberba-q/faostat-skillsSkill106mo agoMITA108Claude Code