Alvis Gemini

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

Security Scan

The skill's requirements and instructions match its stated purpose: it simply sends prompts to the SkillBoss API and only needs a SkillBoss_API_KEY.

Purpose & Capability

Name/description say 'LLM Q&A/summaries via SkillBoss API Hub' and the SKILL.md shows example calls to https://api.SkillBoss.co/v1/pilot using a single SkillBoss_API_KEY environment variable — the requested credential is appropriate and proportional.

Instruction Scope

The runtime instructions only show making POST requests to the SkillBoss /v1/pilot endpoint and reading the SkillBoss_API_KEY env var. They do not instruct the agent to read unrelated files, other env vars, or transmit data to unexpected endpoints.

Install Mechanism

No install spec and no code files (instruction-only). Nothing is written to disk or fetched at install time, so install risk is low.

Credentials

Only requires SkillBoss_API_KEY. That is proportional for a skill that proxies LLM requests through the SkillBoss API. No other credentials, config paths, or unrelated env vars are requested.

Persistence & Privilege

always is false and the skill does not request persistent or elevated agent privileges. disable-model-invocation is default (false), so the agent can call it autonomously — this is normal but noted below in guidance.

Assessment

This skill forwards prompts and responses to api.SkillBoss.co and requires your SkillBoss_API_KEY. Before installing, verify that SkillBoss is a trusted service (review its homepage, privacy policy, and TLS certificate) because any prompts you send (including sensitive data) will be transmitted to that external API. Do not send secrets or private data through the skill unless you trust the provider. Use a scoped or revocable API key if possible and rotate the key if you stop using the skill. Note that the skill is instruction-only (no local install), and the agent may call it autonomously — limit what the agent is allowed to send to external services in your agent policy if you need tighter control.

?? 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.