surrealql-functions

Discover and use SurrealDB's built-in SurrealQL functions with accurate.

What this skill does for you

Discover and use SurrealDB's built-in SurrealQL functions with accurate, version-current signatures by running the SurrealQL language server (LSP) and tree-sitter grammar, with a namespace catalog linking every function group to its docs. Use when looking up which built-in function to use, its exact signature/arguments, getting editor completions/hover/signature-help for .surql files, or confirming a function exists in the installed SurrealDB version. Triggers: SurrealQL function, built-in function, function signature, string::, array::, math::, type::, LSP, language server, completions, surrealql-language-server.

Quoted from the skill description in the pinned source

Who made it

Publishersurrealdb

Repositoryagent-skills

Installs297as 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 surrealql-functions skill from surrealdb/agent-skills.

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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: e5eadc5901337f20ad06ab5acf48d8f83bbfc961. 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: e5eadc5901337f20ad06ab5acf48d8f83bbfc961. 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: e5eadc5901337f20ad06ab5acf48d8f83bbfc961. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/surrealdb/agent-skills
Pinned skill file: View source at revision
Revision: e5eadc5901337f20ad06ab5acf48d8f83bbfc961
Package hash: sha256:39c1a04c4713266f10afb53f90866bd6a2e10fb3b88eb31a8369d7b70600c9dd
Licence: MIT