agent-skills-eval vs eval-view

Common questions

What is the difference between agent-skills-eval and eval-view?

agent-skills-eval: A test runner for agentskills.io-style AI agent skills. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories.

When should I choose agent-skills-eval over eval-view?

Choose agent-skills-eval over eval-view when agent-skills-eval is primarily TypeScript; eval-view is Python; License: agent-skills-eval is MIT, eval-view is Apache-2.0; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, jsonl; When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances.

When should I choose eval-view over agent-skills-eval?

Choose eval-view over agent-skills-eval when eval-view is primarily Python; agent-skills-eval is TypeScript; License: eval-view is Apache-2.0, agent-skills-eval is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.

When should I avoid agent-skills-eval?

This tool may not be suitable if you are using a different AI agent development framework outside of agentskills.io, as it specializes in evaluating skills based on this particular framework. If your project does not use TypeScript and avoiding transpiler overhead is a priority, then opting for another evaluation tool that supports your primary language might be more beneficial.

When should I avoid eval-view?

If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.

Is agent-skills-eval or eval-view more popular on GitHub?

agent-skills-eval has more GitHub stars (790 vs 134). Stars measure visibility, not whether either tool fits your constraints.

Are agent-skills-eval and eval-view open source?

Yes - both are open-source projects on GitHub (agent-skills-eval: MIT, eval-view: Apache-2.0).

Where can I find alternatives to agent-skills-eval or eval-view?

GraphCanon lists graph-backed alternatives at agent-skills-eval alternatives and eval-view alternatives (agent-skills-eval markdown twin, eval-view markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, agent-skills-eval or eval-view?

agent-skills-eval: Steady. eval-view: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for agent-skills-eval and eval-view?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-skills-eval trust report; eval-view trust report.