According to AlphaMoat, as of 2026-09, Fieldy AI Webhook has 3,333 downloads and 3 stars — ranked #3,393 of 5,078 AI skills overall, and #692 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 101 | 3.1K | 3 | - |
| SkillHub ↗ | 326 | 3.3K | 3 | — |
Platforms count differently and update at different times.
A transform processes incoming webhooks: wake-word text triggers an agent with the following content, while other transcripts are logged locally as JSONL. Setup configures the transform, enabled hooks and token, then restarts the gateway. Review transcript retention, use a protected log directory and a low-privilege receiving agent, restrict request rates and prefer header authentication over query-string tokens when supported.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.3K | — | 3 |
| 2026-08 | 3.0K | +4.4% | 3 |
| 2026-07 | 2.9K | +8.9% | 3 |
| 2026-06 | 2.7K | +4.8% | 3 |
| 2026-05 | 2.6K | — | 3 |
| 2026-03 | 2.4K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: fieldy description: Wire a Fieldy webhook transform into Moltbot hooks. --- ## What this sets up You’ll configure Moltbot Gateway webhooks so an incoming request to `POST /hooks/fieldy` runs through a **transform module** (`fieldy-webhook.js`) before triggering an **agent** run. Behavior notes (defaults in `fieldy-webhook.js`):
- Saying **"Hey, Fieldy"** (or just **"Fieldy"**) will **trigger** the agent with the text **after** the wake word.
- Transcripts **without** the wake word will **not** wake the agent; they’ll only be **logged to JSONL files** by `fieldy-webhook.js` (under `<workspace>/fieldy/transcripts/`).
- You can adjust wake words, parsing, and logging behavior by editing `fieldy-webhook.js`.
## 1) Put the transform script in the configured transforms dir
Your `hooks.transformsDir` is:
`/root/clawd/skills/fieldy/scripts`
Move the script from this repo:
- From: `src/fieldy-webhook.js`
- To: `/root/clawd/skills/fieldy/scripts/fieldy-webhook.js`
Notes:
- Make sure the destination filename is exactly `fieldy-webhook.js` (matches the config below).
## 2) Add the webhook mapping to `~/.clawdbot/moltbot.json`
Add this config:
```json
"hooks": {
"token": "insert-your-token",
"transformsDir": "/root/clawd/skills/fieldy/scripts",
"mappings": [
{
"match": {
"path": "fieldy"
},
"action": "agent",
"name": "Fieldy",
"messageTemplate": "{{message}}",
"deliver": true,
"transform": {
"module": "fieldy-webhook.js"
}
}
]
}
```
Important:
- `hooks.token` is required when hooks are enabled (see [Webhooks docs](https://docs.molt.bot/automation/webhook.md)).
- Ensure `hooks.enabled: true` exists somewhere in your config (and optionally `hooks.path`, default is `/hooks`).
## 3) Restart the Gateway
Plugins/config changes generally require a gateway restart. After restarting, the webhook endpoint should be live.
## 4) Configure the webhook URL in the Fieldy app
- Log in to your Fieldy app
- Go to **Settings** → **Developer Settings**
- Set **Webhook Endpoint URL** to:
`https://your-url.com/hooks/fieldy?token=insert-your-token`
Note: Moltbot supports sending the token via header too, but many webhook providers only support query params. Moltbot still accepts `?token=` (see [Webhooks docs](https://docs.molt.bot/automation/webhook.md)).
## 5) Test
Example request (adjust host/port and token):
```bash
curl -X POST "http://127.0.0.1:18789/hooks/fieldy" \
-H "Authorization: Bearer insert-your-token" \
-H "Content-Type: application/json" \
-d '{"transcript":"Hey Fieldy summarize this: hello world"}'
```
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.