zenfermat-ai-skill SKILL.md skillA

zenfermat-ai-skill from alphaparkinc/genpark-hub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add alphaparkinc/genpark-hub/zenfermat-ai-skill@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
alphaparkinc/genpark-hub
Path
skills/zenfermat-ai-skill/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 13, 2026
Size
5,650 bytes
Repository stars
9
License
none declared

Closed-Loop Funnel Optimization & Adaptive Experience Agent for GenPark & OpenClaw. Distilled from FERMÀT (fermatcommerce.com) to replace fragmented e-commerce SaaS tools with autonomous agents that map visitor micro-behavior to purchase intent, prioritize high-yield funnel mutations, and dynamically generate brand-native landing experiences.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# zenfermat-ai-skill

## Overview
`zenfermat-ai-skill` (ZenFermat / 禅策) is the closed-loop funnel mutation and adaptive conversion agent for GenPark & OpenClaw. Distilled from **FERMÀT's (fermatcommerce.com) AI-Native Commerce Platform**, ZenFermat replaces fragmented, disconnected e-commerce SaaS stacks (A/B testing tools, heatmaps, landing page builders, post-click funnels, and standalone analytics) with a unified, autonomous optimization agent loop.

Traditional direct-to-consumer (DTC) storefronts suffer from static rigidity: traffic from disparate advertising creatives, influencer referrals, and external AI agents lands on homogeneous, generic product pages. The disconnect between upstream intent and downstream landing experiences leads to high bounce rates and squandered marketing spend.

Operating local-first within OpenClaw, ZenFermat powers a closed-loop conversion flywheel:
- **Behavior-to-Intent Resolution**: Unifies clickstream events, scroll depth, and interaction pauses into cohesive shopper intent models.
- **Autonomous Revenue Recovery Prioritization**: Continuously simulates and ranks high-leverage funnel interventions to reclaim abandoned baskets.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add alphaparkinc/genpark-hub/zenfermat-ai-skill@sha256:16be1c10a863c4e8

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ju26ng7rv5deaz7b.svg)](https://markdownregistry.com/a/art_ju26ng7rv5deaz7b)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 13, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-13 de9e1dc 5,650 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5650 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

alphaparkinc/genpark-hub · 9 stars · license none declared · pushed 2026-10-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ju26ng7rv5deaz7b
GET https://markdownregistry.com/api/v1/resolve?ref=alphaparkinc/genpark-hub/zenfermat-ai-skill
GET https://markdownregistry.com/api/v1/blob/16be1c10a863c4e83c0722b8f37f44163a7daaebfc756c07c7107c4ed09eaf2a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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