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 climategit 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/climate)<a href="https://agentmods.dev/skills/berba-q/faostat-skills/climate"><img src="https://agentmods.dev/badge/skills/berba-q/faostat-skills/climate/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/climate"><img src="https://agentmods.dev/badge/skills/berba-q/faostat-skills/climate.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 | $0.00138 | $0.03964 |
| Opus 5.5 | $0.00055 | $0.01586 |
| Sonnet 5.5 | $0.00028 | $0.00793 |
| Haiku 4.5 | $0.00014 | $0.00396 |
Grade A, and why
faostat-climate 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agrifood Climate Analyzer
Analyze the climate-agriculture nexus using FAOSTAT emissions, temperature, land use, and agricultural inputs data. This skill has five sub-workflows. Detect the appropriate one from the user's question, or present the options and ask.
Prerequisites
Before starting, verify that the FAOSTAT MCP tools are available: faostat_search_codes, faostat_get_data, faostat_get_rankings. If they are not available, inform the user they need the FAOSTAT MCP server configured and stop.
Domain Reference (CRITICAL -- use exactly these codes)
| Domain | Code | Content |
|---|---|---|
| Emissions Totals | GT | Agrifood systems emissions -- broadest scope, full agrifood chain |
| Crop Emissions | GCE | Emissions from crops only (narrower than GT) |
| Forest Emissions/Removals | GF | Forest sinks, net forest conversion (deforestation proxy) |
| Emissions Intensities | EI | Emissions per unit of output |
| Emissions Indicators | EM | Shares, per capita, per value of agricultural production |
| Temperature Change | ET | Country-level warming trends |
| Land Use | RL | Agricultural and forest land use |
| Fertilizers (use & trade) | RFN, RFM, RFB | Nitrogen, manufactured, bulk fertilizers |
| Pesticides Use | RP | Pesticide application data |
| Pesticides Trade | RT | Pesticide import/export data |
Element Filter Reference
Every faostat_get_data call below specifies an element filter. Without one, emissions domains return dozens of sub-elements per year and the payload explodes.
Rule: For GT, GF, ET, RL, RFN, RP — the codes below are stable and may be used directly. For EM domain elements, always resolve at runtime via faostat_search_codes(domain_code='EM', dimension_id='element', query='<metric>') — never hardcode them. The verified codes shown are reference hints only.
| Metric | Domain | Filter code |
|---|---|---|
| Emissions (CO2eq) | GT | 724313 |
| Temperature change (°C) | ET | 7271 |
| Net forest conversion (area, ha) | GF | 6646 |
| Forest land emissions (CO2eq) | GF | 724313 |
| Agricultural land (area, ha) | RL | 5110 |
| Forest land (area, ha) | RL | 5110 (item 6646 Forest land) |
| N fertilizer use (tonnes) | RFN | 5157 |
| Pesticide use (tonnes) | RP | 5157 |
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.
- 1mo ago First seen · 260 lines · 138 tokens per session scan A b716a64a92d4
faostat-climate is a skill published in the GitHub repository berba-q/faostat-skills (9 stars, last pushed 6mo ago), licensed MIT. It adds 138 tokens to every session and 3,964 once invoked, about $0.0006 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 2026-08-31.
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