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 wentorai/research-plugins --skill pangaea-data-apigit clone --depth 1 https://github.com/wentorai/research-pluginsWrote 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/wentorai/research-plugins/pangaea-data-api)<a href="https://agentmods.dev/skills/wentorai/research-plugins/pangaea-data-api"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/pangaea-data-api/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/wentorai/research-plugins/pangaea-data-api"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/pangaea-data-api.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 Data Exfiltration · line 25 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00017 | $0.01715 |
| Opus 5 | $0.00009 | $0.00857 |
| Sonnet 5 | $0.00003 | $0.00343 |
| Haiku 4.5 | $0.00002 | $0.00171 |
Grade A, and why
pangaea-data-api 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 7d 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.
curl "https://www.pangaea.de/advanced/search.php?q=ocean+temperature&count=20&type=json" How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PANGAEA Data Repository API
Overview
PANGAEA is the world's leading data repository for earth and environmental sciences, hosting 400K+ datasets with 20B+ data points. It archives research data from oceanography, paleoclimatology, geology, ecology, and atmospheric science. Each dataset has a DOI and is linked to the originating publication. The API provides search, metadata retrieval, and data download. Free, no authentication required.
API Endpoints
Search API
# Search datasets by keyword
curl "https://www.pangaea.de/advanced/search.php?q=ocean+temperature&count=20&type=json"
# Search with geographic bounding box
curl "https://www.pangaea.de/advanced/search.php?\
q=sediment+core&minlat=-60&maxlat=-30&minlon=-180&maxlon=180&type=json"
# Filter by parameter (measurement type)
curl "https://www.pangaea.de/advanced/search.php?\
q=carbon+dioxide¶m=Atmospheric+CO2&type=json"
# Filter by date range
curl "https://www.pangaea.de/advanced/search.php?\
q=Arctic+ice&mindate=2020-01-01&maxdate=2026-12-31&type=json"
ElasticSearch API
# Full-text search via Elasticsearch
curl -X POST "https://ws.pangaea.de/es/pangaea/panmd/_search" \
-H "Content-Type: application/json" \
-d '{
"query": {
"bool": {
"must": [
{"match": {"citation.title": "ocean temperature"}}
],
"filter": [
{"range": {"citation.year": {"gte": 2020}}}
]
}
},
"size": 20
}'
Dataset Access
# Get dataset metadata
curl "https://doi.pangaea.de/10.1594/PANGAEA.123456?format=metainfo_json"
# Download dataset as tab-delimited text
curl "https://doi.pangaea.de/10.1594/PANGAEA.123456?format=textfile"
# Download as CSV
curl "https://doi.pangaea.de/10.1594/PANGAEA.123456?format=csv"
OAI-PMH Harvesting
# List records
curl "https://ws.pangaea.de/oai/provider?verb=ListRecords&metadataPrefix=oai_dc"
# Get specific record
curl "https://ws.pangaea.de/oai/provider?verb=GetRecord&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.123456&metadataPrefix=oai_dc"
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.
- 7d ago First seen · 198 lines · 17 tokens per session scan A ff25109465bc
pangaea-data-api is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 1,715 once invoked, about $0.0001 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.
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