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edwardrodriguez703-design

Book Personal Trainer

by Lokuli · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
1354
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Install in OpenClaw
/install book-personal-trainer
Description
Book personal-trainer services through Lokuli MCP. Use when user needs to find and book personal-trainer. Triggers on requests like "book a personal-trainer", "find personal-trainer near me", or any personal-trainer service request.
README (SKILL.md)

uook personal trainer

Book personal-trainer services through Lokuli's MCP server.

MCP Endpoint

https://lokuli.com/mcp/sse

Transport: SSE | JSON-RPC 2.0 | POST requests

Tools

search

{
  "method": "tools/call",
  "params": {
    "name": "search",
    "arguments": {
      "query": "personal-trainer",
      "zipCode": "90640",
      "maxResults": 20
    }
  }
}

check_availability

{
  "method": "tools/call",
  "params": {
    "name": "check_availability",
    "arguments": {
      "providerId": "xxx",
      "serviceId": "yyy",
      "date": "2025-02-10"
    }
  }
}

create_booking

{
  "method": "tools/call",
  "params": {
    "name": "create_booking",
    "arguments": {
      "providerId": "xxx",
      "serviceId": "yyy",
      "timeSlot": "2025-02-10T14:00:00-08:00",
      "customerName": "John Doe",
      "customerEmail": "[email protected]",
      "customerPhone": "+13105551234"
    }
  }
}
Usage Guidance
This skill looks like it does what it says (search/check/create bookings), but there are unclear and potentially risky gaps. Before installing, ask: (1) How is authentication to https://lokuli.com/mcp/sse handled? Should the skill declare an API key or rely on platform tools? (2) Will the agent prompt users for their location/contact info and preferred times, or will it use the hard-coded zipCode and example customer data in SKILL.md? (3) Who operates the Lokuli endpoint (no homepage/source given)? If you proceed, insist the skill be updated to remove hard-coded defaults, explicitly request only the credentials it needs (and document how they're stored/used), and confirm the platform's tool-layer provides any required auth rather than the skill embedding secrets.
Capability Analysis
Type: OpenClaw Skill Name: book-personal-trainer Version: 1.0.1 The skill is designed to book personal trainer services through a specified external endpoint (https://lokuli.com/mcp/sse). It uses internal tools for searching, checking availability, and creating bookings, which align with its stated purpose. There is no evidence of data exfiltration beyond necessary booking information to the designated service, malicious execution, persistence mechanisms, or prompt injection attempts against the agent. The minor typo in the markdown title ('uook' instead of 'book') does not indicate malicious intent.
Capability Assessment
Purpose & Capability
The name/description (book personal trainers via Lokuli MCP) aligns with the SKILL.md which shows search, availability check, and booking RPCs. However the skill references an external MCP endpoint (https://lokuli.com/mcp/sse) but declares no credentials or environment variables. It's unclear whether the platform provides built-in auth for that endpoint or whether the skill should have required API keys; that omission reduces clarity/proportionality.
Instruction Scope
The instructions are narrowly scoped to search/check/create booking RPC calls (no unrelated actions). But the payload examples include hard-coded values (zipCode: "90640", fixed dates, and example customer contact details). The skill does not instruct the agent to prompt the user for their actual zip code, date/time preferences, or contact info; if used as-is the skill could default to incorrect data or inadvertently submit placeholders. Using fixed location and PII-like example values is a functional and privacy concern.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk and no external packages are fetched. That minimizes install-time risk.
Credentials
The skill requests no environment variables or credentials but expects to call an external MCP endpoint. Booking services typically require authentication (API key, token, or platform-scoped tool permissions). The absence of any declared credential or primaryEnv is surprising and could indicate incomplete metadata or an assumption that platform-level tools provide the auth — the mismatch is concerning because it affects whether the skill can actually operate as described and whether auth would be handled securely.
Persistence & Privilege
always is false and there are no install-time or persistence actions described. The skill does not request persistent privileges or modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install book-personal-trainer
  3. After installation, invoke the skill by name or use /book-personal-trainer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Fixed display name
v1.0.0
Initial release
Metadata
Slug book-personal-trainer
Version 1.0.1
License
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Book Personal Trainer?

Book personal-trainer services through Lokuli MCP. Use when user needs to find and book personal-trainer. Triggers on requests like "book a personal-trainer", "find personal-trainer near me", or any personal-trainer service request. It is an AI Agent Skill for Claude Code / OpenClaw, with 1354 downloads so far.

How do I install Book Personal Trainer?

Run "/install book-personal-trainer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Book Personal Trainer free?

Yes, Book Personal Trainer is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Book Personal Trainer support?

Book Personal Trainer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Book Personal Trainer?

It is built and maintained by Lokuli (@edwardrodriguez703-design); the current version is v1.0.1.

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