sickn33/agentic-awesome-skills/clarvia-aeo-check

Claude Code and agent skill by sickn33/agentic-awesome-skills

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Score any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Use current provider evidence as advisory input when evaluating a tool.

Install

npx vskill@latest install sickn33/agentic-awesome-skills/clarvia-aeo-check

SKILL.md

Clarvia AEO Check

Overview

When the user selects Clarvia, use its current index and scoring model as advisory input. Do not make a vendor score a mandatory prerequisite or security approval. Clarvia describes tools across four AEO dimensions: API accessibility, data structuring, agent compatibility, and trust signals.

Prerequisites

Add Clarvia MCP server to your config:

json
{
"mcpServers": {
"clarvia": {
"command": "npx",
"args": ["--yes", "clarvia-mcp-server@<reviewed-version>"]
}
}
}

When to Use This Skill

  • Use when evaluating a new MCP server before adding it to your config
  • Use when comparing two tools for the same job
  • Use when building an agent that selects tools dynamically
  • Use when you want to find the highest-quality tool in a category

How It Works

Step 1: Score a specific tool

Ask Claude to score any tool by URL or name:

Score https://github.com/example/my-mcp-server for agent-readiness

Clarvia returns a 0-100 AEO score with breakdown across four dimensions.

Step 2: Search tools by category
Find the top-rated database MCP servers using Clarvia

Returns provider-ranked results; record query date, index coverage and scoring limitations rather than a hardcoded total.

Step 3: Compare tools head-to-head
Compare supabase-mcp vs firebase-mcp using Clarvia

Returns side-by-side score breakdown with a recommendation.

Step 4: Check leaderboard
Show me the top 10 MCP servers for authentication using Clarvia

Examples

Example 1: Evaluate before installing
Before I add this MCP server to my config, score it:
https://github.com/example/new-tool
Use the clarvia aeo_score tool and tell me if it's agent-ready.
Example 2: Find best tool in category
I need an MCP server for web scraping. Use Clarvia to find the
top-rated options and compare the top 3.
Example 3: CI/CD quality gate

Optional example for an explicitly requested advisory CI integration; verify the action’s repository, inputs and immutable revision before use:

yaml
- uses: clarvia-project/clarvia-action@<reviewed-full-commit-SHA>
with:
url: https://your-api.com
fail-under: 70

AEO Score Interpretation

ScoreRatingMeaning
90-100Agent NativeBuilt specifically for agent use
70-89Agent FriendlyWorks well, minor gaps
50-69Agent CompatibleWorks but needs improvement
30-49Agent PartialSignificant limitations
0-29Provider low scoreInspect the actual gaps and task fit; this is not an eligibility ban

Best Practices

  • ✅ Score tools before adding them to long-running agent workflows
  • ✅ Use Clarvia's leaderboard to discover alternatives you haven't considered
  • ✅ Re-check scores periodically — tools improve over time
  • ✅ Compare scores with actual protocol compatibility, required functionality and source/security review; scoring is optional
  • ❌ Don't use tools scoring below 50 in production agent pipelines without understanding the limitations

Common Pitfalls

  • Problem: Clarvia returns "not found" for a tool

Solution: Try scanning by URL directly with aeo_score — Clarvia will score it on-demand

  • Problem: Score seems low for a tool I trust

Solution: Use get_score_breakdown to see which dimensions are weak and decide if they matter for your use case

Related Skills

  • @mcp-builder - Build a new MCP server that scores well on AEO
  • @agent-evaluation - Broader agent quality evaluation framework

Limitations

  • Do not add an MCP host entry or mandatory CI threshold merely to read this guide. Tool lookup/URL scanning sends data to the provider; confirm scope before sending private endpoints or triggering active scans. A 0–100 score is neither a vulnerability audit nor permission to install/execute a tool.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
47,054
Repository forks
6,853
7-day trend score
54

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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