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Skill evidence / surrealdb-python
Skill profile

surrealdb-python

Using SurrealDB with the Python SDK.

What this skill does for you

Using SurrealDB with the Python SDK, covering both client/server mode (WebSocket) and embedded mode (in-memory or file-based). Use when connecting to SurrealDB from Python, using the surrealdb Python package, running SurrealDB embedded without a server, or performing CRUD operations from Python code. Triggers: surrealdb Python, Surreal(), AsyncSurreal(), Python SDK, embedded SurrealDB, mem://, file://.

Quoted from the skill description in the pinned source

Who made it

Publishersurrealdb
Repositoryagent-skills
Installs317as 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 surrealdb-python 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.

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: 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
sha256:7f3e921c83ebb40bdbec9f7da97dbee7cbfd33fa5eb5788bde66fb980131b3d4
Licence
MIT