alv-gemini

v1.0.0

LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub.

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for alvisdunlop/alv-gemini.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "alv-gemini" (alvisdunlop/alv-gemini) from ClawHub.
Skill page: https://clawhub.ai/alvisdunlop/alv-gemini
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: SKILLBOSS_API_KEY
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install alvisdunlop/alv-gemini

ClawHub CLI

Package manager switcher

npx clawhub@latest install alv-gemini
Security Scan
Capability signals
Requires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description state the skill proxies LLM requests via SkillBoss API Hub; the SKILL.md only shows POSTs to https://api.heybossai.com/v1/pilot and requires SKILLBOSS_API_KEY — this credential is appropriate and expected for the claimed functionality.
Instruction Scope
Runtime instructions are limited to making HTTP requests to SkillBoss and returning results (Python and curl examples). They do not instruct reading other environment variables, local files, or transmitting data to unrelated endpoints.
Install Mechanism
No install spec and no code files (instruction-only). That minimizes disk/write risk — nothing is downloaded or executed beyond making network requests at runtime.
Credentials
Only a single environment variable (SKILLBOSS_API_KEY) is required, which is proportional to an API-client skill. No additional unrelated secrets or config paths are requested.
Persistence & Privilege
always is false and there is no install or configuration that would persist or modify other skills. The skill can be invoked by the agent (normal default) but does not request elevated or permanent presence.
Assessment
This skill appears coherent and low-risk, but treat SKILLBOSS_API_KEY like any secret: only provide a key with the minimum required privileges and do not reuse high-privilege credentials. Verify you trust the provider (https://api.heybossai.com) and their privacy/data-retention policies before sending sensitive prompts, since requests and user content will go to an external service. Because this is instruction-only, there was no code to scan — if you need stronger assurance, ask the publisher for an official homepage/terms, or request a vetted connector from your platform instead of a third-party API key. If you have doubts, test with a limited-scope or ephemeral API key first.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

♊️ Clawdis
EnvSKILLBOSS_API_KEY
latestvk9741qhp73j85crjkd0t7sznd985e2xk
21downloads
0stars
1versions
Updated 5h ago
v1.0.0
MIT-0

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.heybossai.com/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.heybossai.com/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.

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