skill-optimizer — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by fastxyz · MCP Server · ★ 75

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About skill-optimizer

skill-optimizer Docker workbench and Agent Skill for running deterministic evals against agent skills. Use this repo in two ways: Install the skill/plugin into your agent so it can author and debug eval suites. Run the local CLI to execute cases and suites in Docker against OpenRouter models. Installation Installation differs by agent. The canonical skill is ; every plugin manifest points at that same file. Claude Code Register this repository as a Claude Code plugin marketplace: Then install the plugin: OpenAI Codex CLI Register this repository as a Codex plugin marketplace: Then open the plugin search interface: Select and install it. OpenAI Codex App In the Codex app, open Plugins from the sidebar, search for , and install it from the Coding section. If it is not listed, install it from Codex CLI first: Cursor Install the skill with the open skills CLI: Cursor can also import the skill from GitHub via Settings - Rules - Project Rules - Add Rule - Remote Rule (Github). The Cursor plugi

aiai-agentai-skillbenchmarkclievalevalsevaluationevaluation-frameworkllm

Quick Facts

Stars75
Forks12
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score71.7118989859558/100
Open Issues13
Last Updated2026-05-28
Created2026-03-06
Platformscli, mcp, node
Est. Tokens~150k

Compatible Skills

These tools work well together with skill-optimizer for enhanced workflows:

skill-optimizer alternative? Top 6 similar tools

Looking for a skill-optimizer alternative? If you're comparing skill-optimizer with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is skill-optimizer?

skill-optimizer is Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs. It is categorized as a MCP Server with 75 GitHub stars.

What programming language is skill-optimizer written in?

skill-optimizer is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-skill.

How do I install or use skill-optimizer?

You can find installation instructions and usage details in the skill-optimizer GitHub repository at github.com/fastxyz/skill-optimizer. The project has 75 stars and 12 forks, indicating an active community.

What license does skill-optimizer use?

skill-optimizer is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to skill-optimizer?

The top alternatives to skill-optimizer on Agent Skills Hub include gopher-mcp, litefuse, swival. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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