exa-search

exa-search is a Web research & fact-checking skill for AI agents, published by jikssha in the openclaw-dae-skills repository on GitHub. Skillspace rates exa-search C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Neural web search for source-first research, especially official docs, API references, pricing pages, product specs, company pages, and any task where low-noise results and direct text extraction matter. Use when you need precise, high-quality, non-SEO-biased web results or extracted page text/highlights. Prefer this over generic web search for official documentation and structured source retrieval. Prefer grok-search instead for breaking news, X/Twitter dynamics, real-time sentiment, or broad multi-source live synthesis.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
99

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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