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 berba-q/faostat-skills --skill infographicgit clone --depth 1 https://github.com/berba-q/faostat-skillsWrote 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/berba-q/faostat-skills/infographic)<a href="https://agentmods.dev/skills/berba-q/faostat-skills/infographic"><img src="https://agentmods.dev/badge/skills/berba-q/faostat-skills/infographic/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/berba-q/faostat-skills/infographic"><img src="https://agentmods.dev/badge/skills/berba-q/faostat-skills/infographic.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 | $0.00206 | $0.13588 |
| Opus 5 | $0.00103 | $0.06794 |
| Sonnet 5 | $0.00041 | $0.02718 |
| Haiku 4.5 | $0.00021 | $0.01359 |
Grade A, and why
faostat-infographic scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run([ How it starts
The opening of the file, as written. The whole thing — 921 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FAOSTAT Infographic
Build a single-page infographic from FAOSTAT data for a non-expert audience. The reader should grasp the main point in under 10 seconds and the supporting detail in under 30. Aesthetic cue: modern data journalism (Visual Capitalist, OWID explainer cards, Statista) — not FAO yearbooks.
Prerequisites
Before starting, confirm the FAOSTAT MCP tools are available: faostat_get_data, faostat_search_codes, faostat_list_groups, faostat_list_domains, faostat_get_rankings. If not, stop and tell the user this skill requires the FAOSTAT MCP server.
Invariants
Cross-skill invariants (all six — violations are skill bugs):
- FILTER vs DISPLAY codes.
faostat_get_datatakes FILTER codes (e.g.,2510for Production).faostat_get_rankingstakes DISPLAY codes (e.g.,5510). Never invert. - Year syntax. Comma-separated lists only (
'2010,2011,...,2023'); colon ranges return empty in practice. - Element filter required on every
faostat_get_datacall. - TCL for national trade aggregates, TM only for partner breakdowns. Never sum TM rows to reconstruct national totals.
- China composite default (Apr 2026 user preference). For any country-level number or ranking, default to composite
China(area 351). OfferChina, mainland(41) as an opt-in. Flag the choice in the source footer. Map carve-out: if the main visual is a choropleth, the map uses the disaggregation path (area 41 on the CHN polygon; HKG 96 / MAC 128 / TWN 214 on their own polygons). Never blend the two in the same figure. faostat_get_rankingsHTTP-500 fallback. If the call fails, reconstruct by pullingfaostat_get_dataacross all reporting countries and sorting client-side. Note the fallback in the source footer.- Element and item code resolution. Never use a hardcoded numeric element or item code as the primary value in a
faostat_get_datacall. Always resolve at runtime:faostat_search_codes(domain_code='<dom>', dimension_id='element', query='<metric name>')for elements;faostat_search_codes(domain_code='<dom>', dimension_id='item', query='<item name>')for items. Numeric codes shown in reference tables and code examples are verified hints — use them to validate the search result, not as the authoritative source. Domain letter-codes (QCL, TCL, GT, EM, FBS, FS…) are stable and may be used directly.
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 · 921 lines · 206 tokens per session scan A ff274f38c23d
faostat-infographic is a skill published in the GitHub repository berba-q/faostat-skills (8 stars, last pushed 4mo ago), licensed MIT. It adds 206 tokens to every session and 13,588 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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