Edge Copy setup link
Skill evidence / search
Skill profile

search

Deep research powered by Exa.

What this skill does for you

Deep research powered by Exa. Use for lead generation, literature reviews, deep dives, competitive analysis, or any query where one search falls short, including phrases like 'research this', 'find everything about', 'find me all', or 'deep dive on'.

Quoted from the skill description in the pinned source

Who made it

Publisherexa-labs
Repositoryexa-mcp-server
Installs336as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the search skill from exa-labs/exa-mcp-server.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: f3d71fb6b0ff4b4683f108f05bc2bae61a9f7e97. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: f3d71fb6b0ff4b4683f108f05bc2bae61a9f7e97. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: f3d71fb6b0ff4b4683f108f05bc2bae61a9f7e97. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/exa-labs/exa-mcp-server
Pinned skill file
View source at revision
Revision
f3d71fb6b0ff4b4683f108f05bc2bae61a9f7e97
Package hash
sha256:6a25fce196e2d38523d6d80acdbc611220c464ebac7f93757d5ad0858d84c384
Licence
MIT