Alternatives to eval
50 AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B
batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I
implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About eval
eval
Evaluate and rank agent results by metric or LLM judge for an AgentHub session
Eval is an agent skill that ranks the results of agents working in an AgentHub session, so you can pick a winner. It supports three modes: a metric-based evaluation that runs a command you configure in each agent's worktree, an LLM judge that compares the diffs the agents produced, and a hybrid of the two. You can evaluate the latest session, a specific session by its ID, or force the LLM judge mode even if a metric is configured. The metric mode runs the evaluation command in each agent's worktree and scores the results against the criteria, while the judge mode reads the changes and compares them. The skill is triggered by the hub eval command, or when you ask to score, compare or pick a winner among agent results. It is useful when several agents have attempted the same task and you want an objective ranking before you merge one of them. It is part of the claude-skills collection by alirezarezvani and is listed on skills.sh, where its audit shows a warning from Gen Agent Trust Hub.
- Price
- Free
- Made by
- alirezarezvani
- Category
- AI Skills
- Website
- github.com/alirezarezvani/claude-skills/eval