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 tomopay/exa-mcp-server --skill research-paper-searchgit clone --depth 1 https://github.com/tomopay/exa-mcp-serverWrote 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/tomopay/exa-mcp-server/research-paper-search)<a href="https://agentmods.dev/skills/tomopay/exa-mcp-server/research-paper-search"><img src="https://agentmods.dev/badge/skills/tomopay/exa-mcp-server/research-paper-search/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/tomopay/exa-mcp-server/research-paper-search"><img src="https://agentmods.dev/badge/skills/tomopay/exa-mcp-server/research-paper-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00048 | $0.00691 |
| Opus 5.5 | $0.00019 | $0.00276 |
| Sonnet 5.5 | $0.00010 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
web-search-advanced-research-paper 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 2mo 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.
This is a copy
100% identical to web-search-advanced-research-paper — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Search Advanced - Research Paper Category
Tool Restriction (Critical)
ONLY use web_search_advanced_exa with category: "research paper". Do NOT use other categories or tools.
Full Filter Support
The research paper category supports ALL available parameters:
Core
query(required)numResultstype("auto", "fast", "deep", "neural")
Domain filtering
includeDomains(e.g., ["arxiv.org", "openreview.net"])excludeDomains
Date filtering (ISO 8601)
startPublishedDate/endPublishedDatestartCrawlDate/endCrawlDate
Text filtering
includeText(must contain ALL)excludeText(exclude if ANY match)
Array size restriction: includeText and excludeText only support single-item arrays. Multi-item arrays (2+ items) cause 400 errors. To match multiple terms, put them in the query string or run separate searches.
Content extraction
textMaxCharacters/contextMaxCharactersenableSummary/summaryQueryenableHighlights/highlightsNumSentences/highlightsPerUrl/highlightsQuery
Additional
userLocationmoderationadditionalQueriesmaxAgeHours/livecrawlTimeoutsubpages/subpageTarget
Token Isolation (Critical)
Never run Exa searches in main context. Always spawn Task agents:
- Agent calls
web_search_advanced_exawithcategory: "research paper" - Agent merges + deduplicates results before presenting
- Agent returns distilled output (brief markdown or compact JSON)
- Main context stays clean regardless of search volume
When to Use
Use this category when you need:
- Academic papers from arXiv, OpenReview, PubMed, etc.
- Scientific research on specific topics
- Literature reviews with date filtering
- Papers containing specific methodologies or terms
Examples
Recent papers on a topic:
web_search_advanced_exa {
"query": "transformer attention mechanisms efficiency",
"category": "research paper",
"startPublishedDate": "2024-01-01",
"numResults": 15,
"type": "auto"
}
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.
- 2mo ago First seen · 95 lines · 48 tokens per session scan A 2c564e150482
web-search-advanced-research-paper is a skill published in the GitHub repository tomopay/exa-mcp-server (0 stars, last pushed 7mo ago), licensed MIT. It adds 48 tokens to every session and 691 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to web-search-advanced-research-paper, differing in 0 lines, and is treated as a copy.
web-search-advanced-research-paper compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| web-search-advanced-research-papertomopay/exa-mcp-server | Skill | 0 | 7mo ago | MIT | A | 48 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |