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 beita6969/ScienceClaw --skill copernicus-climategit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/copernicus-climate)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/copernicus-climate"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/copernicus-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/beita6969/scienceclaw/copernicus-climate"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/copernicus-climate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 20 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00100 | $0.01034 |
| Opus 5 | $0.00050 | $0.00517 |
| Sonnet 5 | $0.00020 | $0.00207 |
| Haiku 4.5 | $0.00010 | $0.00103 |
Grade A, and why
copernicus-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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copernicus Climate Data Store (CDS)
Access ERA5 reanalysis, climate projections, and satellite climate records through the Copernicus CDS API. Covers global gridded climate data from 1940 to present.
Prerequisites
Install the CDS API client and configure credentials:
pip install cdsapi
Create ~/.cdsapirc with your CDS credentials:
url: https://cds.climate.copernicus.eu/api
key: <your-uid>:<your-api-key>
Register at https://cds.climate.copernicus.eu to obtain credentials.
API Base URL
https://cds.climate.copernicus.eu/api
Basic Python Retrieval Pattern
import cdsapi
c = cdsapi.Client()
c.retrieve(
"reanalysis-era5-single-levels",
{
"product_type": "reanalysis",
"variable": "2m_temperature",
"year": "2023",
"month": "07",
"day": "15",
"time": "12:00",
"area": [60, -10, 35, 30], # N, W, S, E bounding box
"format": "netcdf",
},
"era5_temperature.nc",
)
ERA5 Pressure-Level Variables
Retrieve upper-air data on pressure levels:
c.retrieve(
"reanalysis-era5-pressure-levels",
{
"product_type": "reanalysis",
"variable": ["temperature", "geopotential", "relative_humidity"],
"pressure_level": ["500", "700", "850", "925"],
"year": "2023",
"month": "01",
"day": "15",
"time": "12:00",
"format": "netcdf",
},
"era5_pressure_levels.nc",
)
Key Dataset Identifiers
| Dataset ID | Description |
|---|---|
reanalysis-era5-single-levels |
Surface and single-level hourly fields |
reanalysis-era5-pressure-levels |
Upper-air on 37 pressure levels |
reanalysis-era5-single-levels-monthly |
Monthly-averaged surface fields |
reanalysis-era5-land |
ERA5-Land (enhanced land, 9 km) |
satellite-sea-level-global |
Satellite altimetry sea level |
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 · 119 lines · 100 tokens per session scan A 700f7a8677bb
copernicus-climate is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 100 tokens to every session and 1,034 once invoked, about $0.0005 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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biomcp-research
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