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 DataLab-atom/EvoAny --skill search-litgit clone --depth 1 https://github.com/DataLab-atom/EvoAnyWrote 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/datalab-atom/evoany/search-lit)<a href="https://agentmods.dev/skills/datalab-atom/evoany/search-lit"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/search-lit.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 | $0.00029 | $0.00434 |
| Opus 5 | $0.00015 | $0.00217 |
| Sonnet 5 | $0.00006 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
search-lit 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 8d 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
/search-lit — Online Literature Search
Internal skill — called by
/ask-litand ResearchAgent, not typically invoked directly.
Purpose
Search online sources for academic literature relevant to a query. Returns structured results with BibTeX citations.
Input
query— A research question, topic, or keyword string
Behavior
-
arXiv search (primary)
- Use the
browsertool to queryhttps://arxiv.org/search/?query=<encoded_query>&searchtype=all - Extract: title, authors, year, abstract, arXiv ID, URL
- Limit to top 5 results
- Use the
-
Papers With Code (supplementary)
- Use
browserto searchhttps://paperswithcode.com/search?q=<encoded_query> - Cross-reference with arXiv results; add any new papers found
- Use
-
Google Scholar (fallback, if above yield < 3 results)
- Use
browserto search Scholar - Extract what's available from snippets
- Use
-
Standardize output — for each paper found:
{ "title": "...", "authors": ["..."], "year": 2025, "abstract": "...", "url": "https://arxiv.org/abs/...", "bibtex": "@article{key, ...}" } -
Auto-ingest — call
lit_ingestfor each result to add to local vector DB
Output
Return the array of found papers with their BibTeX entries.
Tool Usage
| Tool | Purpose |
|---|---|
browser |
Web search and page scraping |
lit_ingest |
Ingest found papers into local vector DB |
summarize |
Compress long abstracts if needed |
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.
- 8d ago First seen · 59 lines · 29 tokens per session scan A bf0bab153a1a
search-lit is a skill published in the GitHub repository DataLab-atom/EvoAny (37 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 434 once invoked, about $0.0001 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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