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 jinwx/weather-data-skills --skill cds-downloadgit clone --depth 1 https://github.com/jinwx/weather-data-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/jinwx/weather-data-skills/cds-download)<a href="https://agentmods.dev/skills/jinwx/weather-data-skills/cds-download"><img src="https://agentmods.dev/badge/skills/jinwx/weather-data-skills/cds-download/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/jinwx/weather-data-skills/cds-download"><img src="https://agentmods.dev/badge/skills/jinwx/weather-data-skills/cds-download.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 | $0.00129 | $0.01721 |
| Opus 5 | $0.00064 | $0.00860 |
| Sonnet 5 | $0.00026 | $0.00344 |
| Haiku 4.5 | $0.00013 | $0.00172 |
Grade A, and why
cds-download 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 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.
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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CDS Data Download Skill
This skill helps users download data from the Copernicus Climate Data Store (CDS) efficiently. It covers setup, dataset selection, and writing optimized Python download scripts.
Quick Orientation
The CDS (https://cds.climate.copernicus.eu) is the main portal for Copernicus climate data.
Reference files — read the relevant one when you need dataset-specific details:
references/api-setup.md— Account setup, .cdsapirc configuration, cdsapi installation. Read this when the user needs help getting started or has authentication issues.references/era5.md— ERA5 and ERA5-Land datasets: identifiers, variables, storage types, efficiency strategies, and download script usage. Read this for any ERA5/ERA5-Land download task.references/seasonal.md— Seasonal forecast datasets: identifiers, parameters, system versioning, efficiency strategies, and download script usage. Read this for seasonal prediction downloads.
A scripts/ directory contains reusable download scripts for ERA5 and seasonal forecasts — see the reference files for usage. These scripts cover the common ERA5/ERA5-Land and C3S seasonal forecast workflows. For other CDS datasets, unsupported parameter combinations, or custom post-processing, read the relevant script source as a reference and write a tailored script.
Workflow
When a user asks to download CDS data, follow this sequence:
1. Check Setup
Before writing any download script, confirm the user has CDS access configured:
- Do they have a CDS account? If not, direct them to register at https://cds.climate.copernicus.eu
- Is their
.cdsapircfile configured? If unsure, readreferences/api-setup.mdfor the current format and walk them through it. - Is
cdsapiinstalled (pip install "cdsapi>=0.7.7")? The version matters — older versions use incompatible syntax.
If the user seems experienced (they mention specific dataset names, already have scripts), skip the hand-holding and go straight to their request.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/api-setup.md 2.9 KB
- references/era5.md 6.6 KB
- references/seasonal.md 9.6 KB
- scripts/check_seasonal_plan.py 3.6 KB runs code
- scripts/download_era5.py 7.1 KB runs code
- scripts/download_seasonal.py 6.2 KB runs code
- scripts/query_seasonal_systems.py 6.8 KB runs code
- scripts/verify_setup.py 706 B runs code
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 · 109 lines · 129 tokens per session scan A 47e9dd72ba9d
cds-download is a skill published in the GitHub repository jinwx/weather-data-skills (37 stars, last pushed 5mo ago), licensed MIT. It adds 129 tokens to every session and 1,721 once invoked, about $0.0006 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 2026-08-30.
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