webhook-transforms

webhook-transforms is a skill for Claude Code, Codex from garrytan/gbrain. It costs 46 tokens per session (577 once invoked), scanned A, original, MIT.

A webhook framework that turns incoming events from services such as SMS, meetings, and social media into structured pages for an agent's knowledge system. It cleans the data, keeps the original payload, extracts named entities, and records citations.

In plain words
What is it for?
Use it to receive webhook events, convert their JSON payloads into markdown pages, retry failed conversions, preserve failed events, and update related entity timelines.
Why use it?
It removes the need to write separate handling for every external event and helps prevent lost or unsafe data when a conversion fails.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gbrain. Also seen: built for gbrain.

Part of the gbrain plugin — 44 skills, 2 plugins shipped together

Good fit Use it to receive webhook events, convert their JSON payloads into markdown pages, retry failed conversions, preserve failed events, and update related entity timelines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/garrytan/gbrain/webhook-transforms
About the project

GBrain is a memory and retrieval layer for AI agents that searches, connects, and synthesizes information from stored sources. It is used to give coding agents and autonomous agents access to knowledge beyond their current code, including shared company information with access controls. The catalogue add-ons help agents operate GBrain and connect it to agent workflows.

garrytan/gbrain · 29,702 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add garrytan/gbrain --skill webhook-transforms
Clone the repo
git clone --depth 1 https://github.com/garrytan/gbrain

Made for: Claude Code, Codex.

Or install gbrain, the plugin that ships this one along with the rest of its 44 skills, 2 plugins.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for webhook-transforms

README.md
[![agentmods](https://agentmods.dev/badge/skills/garrytan/gbrain/webhook-transforms.svg)](https://agentmods.dev/skills/garrytan/gbrain/webhook-transforms)
Your own site
<a href="https://agentmods.dev/skills/garrytan/gbrain/webhook-transforms"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/webhook-transforms.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 577 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk warn 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00577
Opus 5 $0.00023 $0.00289
Sonnet 5 $0.00009 $0.00115
Haiku 4.5 $0.00005 $0.00058

Measured 4d ago against content hash b774293297af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

webhook-transforms scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

plugin/skills/webhook-transforms/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 84 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 84 lines · 46 tokens per session scan A b774293297af

Subscribe to this mod's changes

webhook-transforms is a skill published in the GitHub repository garrytan/gbrain (29,702 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 577 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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