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 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/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/internlm/wildclawbench/geepers-data"><img src="https://agentmods.dev/badge/skills/internlm/wildclawbench/geepers-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 20 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.
- 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 | $0.00065 | $0.00498 |
| Opus 5.5 | $0.00026 | $0.00199 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo ago First seen · 63 lines · 65 tokens per session scan A 16b5b6e4f611
geepers-data is a skill published in the GitHub repository InternLM/WildClawBench (534 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 498 once invoked, about $0.0003 per session on Opus 5.5. 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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