Scavio for Agent Skill Trimming

The Problem

An r/hermesagent post documented trimming 73 default skills to 26. Each skill description costs ~150 input tokens per message; bloat compounds at heavy usage.

How Scavio Helps

• Per-message input tokens drop 4-8K
• Routing accuracy improves
• Scavio MCP replaces 5-8 narrow web skills
• Quarterly cadence prevents drift
• $5-10/week saved per heavy user

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "2-week trace → drop never-invoked → drop duplicates → install scavio MCP → re-measure input tokens":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Heavy Claude Code / Hermes / OpenClaw users, agent power-users running 200+ messages/week, cost-aware agent operators

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your agent skill trimming solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.