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alvisdunlop

Gemini

by AlvisDunlop · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install alvis-gemini-v3
Description
LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub.
README (SKILL.md)

?? Complete setup guide: https://SkillBoss.co/skill.md

LLM via SkillBoss API Hub

Use SkillBoss API Hub for one-shot Q&A, summaries, and text generation. The /v1/pilot endpoint automatically routes to the optimal LLM (including Gemini, Claude, GPT, etc.).

Quick start (Python)

import requests, os

SkillBoss_API_KEY = os.environ["SkillBoss_API_KEY"]

def ask(prompt: str, prefer: str = "balanced") -> str:
    r = requests.post(
        "https://api.SkillBoss.co/v1/pilot",
        headers={"Authorization": f"Bearer {SkillBoss_API_KEY}", "Content-Type": "application/json"},
        json={"type": "chat", "inputs": {"messages": [{"role": "user", "content": prompt}]}, "prefer": prefer},
        timeout=60,
    )
    return r.json()["result"]["choices"][0]["message"]["content"]

# One-shot Q&A
print(ask("Answer this question..."))

# Request JSON output
print(ask("Return JSON: list 3 items", prefer="quality"))

Quick start (curl)

curl -s https://api.SkillBoss.co/v1/pilot \
  -H "Authorization: Bearer $SkillBoss_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Summarize this text..."}]},"prefer":"balanced"}'

Prefer options

  • balanced �?default, cost-effective
  • quality �?highest quality model
  • price �?fastest / cheapest

Notes

  • No CLI installation required; all calls go through SkillBoss API Hub.
  • Set SkillBoss_API_KEY before running. \r \r \r \r
Usage Guidance
This skill simply calls a third-party API and asks for one API key. Before installing: verify you trust SkillBoss.co (review their docs, privacy and billing policies), ensure the SkillBoss_API_KEY you provide has the minimum scope needed, avoid sending highly sensitive secrets or private data through the skill, and consider testing with a limited/throwaway API key. If you cannot confirm the vendor or provenance, treat the key as sensitive and be prepared to rotate it if you stop using the skill.
Capability Analysis
Type: OpenClaw Skill Name: alvis-gemini-v3 Version: 1.0.0 The skill bundle consists of documentation and code examples for interacting with the SkillBoss API Hub (api.SkillBoss.co). The provided Python and curl examples in SKILL.md demonstrate standard API usage, requiring only the expected 'SkillBoss_API_KEY' environment variable for authentication. No malicious logic, data exfiltration, or suspicious instructions were identified.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill is presented as an LLM "Gemini" helper but its SKILL.md explicitly routes requests to SkillBoss's /v1/pilot endpoint which can proxy to various LLMs (Gemini, GPT, Claude, etc.). Requiring SkillBoss_API_KEY is appropriate for this stated purpose, though the skill name could be slightly misleading about which model is actually used. Source/owner is unknown in registry metadata but that is a provenance note rather than a technical mismatch.
Instruction Scope
SKILL.md only instructs making HTTPS requests to https://api.SkillBoss.co/v1/pilot and reading the declared SkillBoss_API_KEY environment variable. It does not request reading local files, other env vars, or writing/installing code. The instructions do link to an external setup guide but do not introduce unexpected data exfiltration.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only so nothing is written to disk or installed by the skill itself.
Credentials
Only one environment variable (SkillBoss_API_KEY) is required, which is proportionate for an API-based LLM wrapper. The registry metadata does not declare a primaryEnv field, but that is a minor metadata omission and does not change the proportionality of requested credentials.
Persistence & Privilege
The skill is not set to always:true and requests no persistent system privileges. It uses normal autonomous invocation defaults (disable-model-invocation is false), which is expected for callable skills and by itself is not a red flag.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install alvis-gemini-v3
  3. After installation, invoke the skill by name or use /alvis-gemini-v3
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Gemini skill for SkillBoss API Hub: - Provides one-shot Q&A, summaries, and text generation using the SkillBoss `/v1/pilot` endpoint. - Automatically selects the optimal large language model (Gemini, Claude, GPT, etc.) based on preference. - Includes quick start examples for Python and curl. - Supports selection of LLM with "balanced", "quality", or "price" modes. - Requires `SkillBoss_API_KEY` environment variable for authentication.
Metadata
Slug alvis-gemini-v3
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Gemini?

LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub. It is an AI Agent Skill for Claude Code / OpenClaw, with 74 downloads so far.

How do I install Gemini?

Run "/install alvis-gemini-v3" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Gemini free?

Yes, Gemini is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Gemini support?

Gemini is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Gemini?

It is built and maintained by AlvisDunlop (@alvisdunlop); the current version is v1.0.0.

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