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.
git 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/commands/berba-q/faostat-skills/faostat-climate)<a href="https://agentmods.dev/commands/berba-q/faostat-skills/faostat-climate"><img src="https://agentmods.dev/badge/commands/berba-q/faostat-skills/faostat-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/commands/berba-q/faostat-skills/faostat-climate"><img src="https://agentmods.dev/badge/commands/berba-q/faostat-skills/faostat-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 | $0.00026 | $0.00115 |
| Opus 5 | $0.00013 | $0.00057 |
| Sonnet 5 | $0.00005 | $0.00023 |
| Haiku 4.5 | $0.00003 | $0.00012 |
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 10d 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.
What it actually says
Invoke the faostat-climate skill to handle this request. The skill supports five sub-workflows: country emissions profiles, emissions comparisons, crop emissions analysis, forest & land use, and inputs-emissions links. Detect the appropriate sub-workflow from the user's input, or present the options.
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.
- 10d ago First seen · 7 lines · 26 tokens per session scan A d64bd278a8a0
faostat-climate is a command published in the GitHub repository berba-q/faostat-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 115 once invoked, about $0.0001 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.
Other commands, from other repositories
b-animate-dev
Animate and model-check a B machine with probcli.
paper-trail-ingest
Ingest the citations of one SOTA into the registry. Extracts bibliographic sections, parses citations via the citation-parser sub-agent, resolves DOI via Crossref/S2, deduplicates against the registry, creates new candidate refs, and substitutes free-text citations with [[wikilinks]]. Required first step to make a…
paper-trail-new-paper
Start writing an academic paper (IMRaD structure) on a topic, with anti-hallucination citation verification at every step. Builds on existing audited SOTAs.
research
Start or resume an academic research project — idea through literature, methodology, writing, feedback, and publishing.
openehr-explain
One-stop router that explains or looks up any openEHR thing — auto-detects an archetype, a template, an RM/AM/BASE type, an RM structural concept, an ADL idiom, an AQL query or keyword, or a terminology code (replaces /archetype-explain, /template-explain, /type-spec, /rm-structure, /adl-idiom, /terminology).
run-gsea
Pathway enrichment on a ranked gene list (GSEA or ORA). Use when the user asks which pathways are enriched, wants GSEA/fgsea, or has DE results to interpret biologically.