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 xjtulyc/awesome-rosetta-skills --skill food-systems-datagit clone --depth 1 https://github.com/xjtulyc/awesome-rosetta-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/xjtulyc/awesome-rosetta-skills/food-systems-data)<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/food-systems-data"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/food-systems-data/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/xjtulyc/awesome-rosetta-skills/food-systems-data"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/food-systems-data.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 | $0.00040 | $0.04149 |
| Opus 5 | $0.00020 | $0.02074 |
| Sonnet 5 | $0.00008 | $0.00830 |
| Haiku 4.5 | $0.00004 | $0.00415 |
Grade A, and why
food-systems-data 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.get(url, params=params, timeout=120) The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 8d ago First seen · 510 lines · 40 tokens per session scan A 832ef80798ef
food-systems-data is a skill published in the GitHub repository xjtulyc/awesome-rosetta-skills (34 stars, last pushed 5mo ago), with no licence file. It adds 40 tokens to every session and 4,149 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (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
faostat-analytical-brief
Use when the user wants a short, FAOSTAT-style analytical brief — a multi-page PDF policy document in the FAOSTAT house visual style, with a HIGHLIGHTS box, global/regional/country sections, numbered figures with source lines, explanatory notes, and a data appendix. Use when the user asks for "an analytical brief on…
faostat-climate
Use when the user asks about agricultural emissions, climate impact of farming, agrifood carbon footprint, greenhouse gases from agriculture, deforestation, forest carbon sinks, temperature change, fertilizer emissions, N2O, land use change, emissions intensity, or the climate-agriculture nexus. Keywords — emissions…
faostat-commodity
Use when the user asks about a specific crop or commodity — global production, top producers, yield trends, trade flows, or a commodity briefing. Keywords — commodity, crop, wheat, rice, maize, coffee, cocoa, soybean, sugar, cotton, palm oil, production rankings, top producers, yield, trade, global supply, briefing…
faostat-scientific-paper
Use when the user wants an academic / peer-reviewable research paper built from FAOSTAT data — "scientific paper", "academic paper", "research paper", "journal article", "IMRaD write-up", "peer-reviewed paper", "manuscript". The deliverable is a .docx following IMRaD structure (Abstract, Introduction, Methods…
faostat-map
Use when the user wants a world or regional choropleth map of a FAOSTAT metric — production, yield, trade flow, emissions, temperature change, fertilizer use, undernourishment, or any other country-level indicator. Use when the user asks for "a map of X", "where is Y grown/produced/emitted", "show global distribution…
faostat-country-profile
Use when the user asks for a food security profile, country agricultural overview, country hunger or nutrition assessment, or food system summary for a specific country. Keywords — country profile, food security, undernourishment, production, trade, nutrition, calorie supply, dietary energy. Do NOT use for import…