Getnote Search

getnote-search Skill

Semantic search across all notes or within a specific knowledge base.

Prerequisites

• getnote CLI installed and authenticated (getnote auth status should show "Authenticated")

Commands

Search notes

getnote search <query> [--kb <topic_id>] [--limit <n>]

Results are ranked by semantic relevance (high → low). Each result includes: note_id, title, content (excerpt), score, created_at, note_type.

Note: note_type is one of NOTE, FILE, BLOGGER, LIVE, URL, DEDAO. note_id is only populated for NOTE type results; other types return an empty note_id.

# Search across all notes
getnote search "大模型 API"

# Search within a knowledge base
getnote search "RAG" --kb qnNX75j0

# Limit results + JSON output
getnote search "机器学习" --limit 5 -o json

Agent Usage Notes

• Use -o json when parsing results programmatically.
• JSON response: {"success":true,"results":[{"note_id":"...","title":"...","content":"...","score":0.95,"created_at":"...","note_type":"..."}]}
• Note: results is at the top level, not nested under data.
• Get topic_id for --kb from getnote kbs -o json → data.topics[].topic_id.
• For NOTE type results, use getnote note <note_id> to get the full content.
• Max --limit is 10; use getnote notes for browsing without a query.
• Exit code 0 = success; non-zero = error. Error details go to stderr.