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 agentmods add skills/internlm/wildclawbench/geepers-datanpx skills add InternLM/WildClawBench --skill geepers-datagit clone --depth 1 https://github.com/InternLM/WildClawBenchWrote 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/internlm/wildclawbench/geepers-data)<a href="https://agentmods.dev/skills/internlm/wildclawbench/geepers-data"><img src="https://agentmods.dev/badge/skills/internlm/wildclawbench/geepers-data.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00498 |
| Opus 5 | $0.00032 | $0.00249 |
| Sonnet 5 | $0.00013 | $0.00100 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
geepers-data 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 6d 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
Dreamer Data
Access 17 structured data sources through https://api.dr.eamer.dev.
Authentication
export DREAMER_API_KEY=your_key_here
Endpoints
List Available Sources
GET https://api.dr.eamer.dev/v1/data
Search Across Sources
POST https://api.dr.eamer.dev/v1/data/search
Body:
{
"source": "arxiv",
"query": "machine learning interpretability",
"limit": 10
}
Available Sources
| Source | ID | What it provides |
|---|---|---|
| arXiv | arxiv |
Academic papers |
| Census Bureau | census |
US demographic data |
| GitHub | github |
Code repositories, issues, users |
| NASA | nasa |
Space data, images, astronomy |
| Wikipedia | wikipedia |
Encyclopedia articles |
| PubMed | pubmed |
Biomedical literature |
| News | news |
Current events from 80+ outlets |
| Weather | weather |
Current and forecast weather |
| Finance | finance |
Stock prices and market data |
| FEC | fec |
Federal campaign finance |
| OpenLibrary | openlibrary |
Books and library records |
| Semantic Scholar | semantic_scholar |
Academic citation graphs |
| YouTube | youtube |
Video metadata |
| Wolfram Alpha | wolfram |
Computational knowledge |
| Wayback Machine | archive |
Web archive snapshots |
| Judiciary | judiciary |
US court records |
| MAL | mal |
Anime and manga data |
When to Use
- Research that needs verified, citable data
- Building data pipelines from authoritative sources
- Enriching existing datasets with external context
Don't Use When
- The source you need isn't in the list (check
/v1/datafirst) - You have direct API access to the source with higher rate limits
What ships with it
1 file 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.
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.
- 6d ago First seen · 63 lines · 65 tokens per session scan A 16b5b6e4f611
geepers-data is a skill published in the GitHub repository InternLM/WildClawBench (516 stars, last pushed 19d ago), licensed MIT. It adds 65 tokens to every session and 498 once invoked, about $0.0003 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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