garrytan/gbrainmarkdown explorer
garrytan/gbrainmaster
plugin / skills / webhook-transforms

webhook transforms

plugin/skills/webhook-transforms/SKILL.md


name: webhook-transforms version: 1.0.0 description: | Generic framework for converting external events (SMS, meetings, social mentions) into brain-ingestible signals. Define a transform function, register a webhook URL, and incoming events get processed through the brain pipeline. triggers:

  • "set up webhook"
  • "process webhook event"
  • "transform this event" tools:
  • put_page
  • add_timeline_entry
  • search mutating: true

Webhook Transforms

Contract

This skill guarantees:

  • External events are transformed into brain pages with proper citations
  • Raw payloads are preserved (dead-letter queue if transform fails)
  • Entity extraction runs on every transformed event
  • Input sanitization: no raw HTML/script passes to brain pages
  • Error handling: transform failure logs raw payload, retries once

Phases

  1. Define transform. Map event schema to brain page format:

    • Input: raw webhook payload (JSON)
    • Output: brain page content (markdown) + metadata (slug, type, citations)
    • Must sanitize: strip HTML tags, escape script content
  2. Register webhook URL. Provide the external service with the webhook endpoint.

  3. On event received:

    • Parse payload
    • Run transform function
    • Write brain page via gbrain put
    • Extract entities, run enrichment
    • Add timeline entries to mentioned entities
    • Sync: gbrain sync
  4. Error handling:

    • If transform throws: log raw payload to _dead-letter/{timestamp}.md
    • Surface error type to agent
    • Retry once
    • Don't lose events

Example Transforms

SMS Received

Input: {from: "+1555...", body: "Meeting moved to 3pm", timestamp: "..."}
Output: Timeline entry on sender's brain page + task update if action item detected

Meeting Completed

Input: {title: "Weekly sync", attendees: [...], transcript: "...", summary: "..."}
Output: Delegate to meeting-ingestion skill

Social Mention

Input: {platform: "twitter", author: "@handle", text: "...", url: "..."}
Output: Brain page in media/ + entity extraction + backlinks

Output Format

Event transformed and written to brain. Report: "Webhook: {event_type} from {source} → {brain_page_path}"

Anti-Patterns

  • Passing raw HTML/script to brain pages (XSS risk)
  • Silently dropping events when transform fails (use dead-letter queue)
  • Processing webhooks without entity extraction
  • Not sanitizing external input before brain writes
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