web-search-advanced-research-paper — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited web-search-advanced-research-paper (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
ONLY use web_search_advanced_exa with category: "research paper". Do NOT use other categories or tools.
The research paper category supports ALL available parameters:
query (required)numResultstype ("auto", "fast", "deep", "neural")includeDomains (e.g., ["arxiv.org", "openreview.net"])excludeDomainsstartPublishedDate / endPublishedDatestartCrawlDate / endCrawlDateincludeText (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.
textMaxCharacters / contextMaxCharactersenableSummary / summaryQueryenableHighlights / highlightsNumSentences / highlightsPerUrl / highlightsQueryuserLocationmoderationadditionalQueriesmaxAgeHours / livecrawlTimeoutsubpages / subpageTargetNever run Exa searches in main context. Always spawn Task agents:
web_search_advanced_exa with category: "research paper"Use this category when you need:
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"
}Papers from specific venues:
web_search_advanced_exa {
"query": "large language model agents",
"category": "research paper",
"includeDomains": ["arxiv.org", "openreview.net"],
"includeText": ["LLM"],
"numResults": 20,
"type": "deep"
}Return: 1) Results (structured list with title, authors, date, abstract summary) 2) Sources (URLs with publication venue) 3) Notes (methodology differences, conflicting findings)
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.