---
title: "agent-skills-eval vs eval-view"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/darkrishabh-agent-skills-eval-vs-hidai25-eval-view"
tools: ["darkrishabh-agent-skills-eval", "hidai25-eval-view"]
---

# agent-skills-eval vs eval-view

*GraphCanon updated Aug 2, 2026*

## Verdict

Pick agent-skills-eval if agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript; pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time.

[agent-skills-eval](https://darkrishabh.github.io/agent-skills-eval/) reports 637 GitHub stars, 36 forks, and 11 open issues, last pushed Jul 15, 2026. [eval-view](https://evalview.com) has 126 stars, 21 forks, and 3 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [agent-skills-eval's repository](https://github.com/darkrishabh/agent-skills-eval) and [eval-view's repository](https://github.com/hidai25/eval-view).

| | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [eval-view](/tools/hidai25-eval-view.md) |
| --- | --- | --- |
| Tagline | A test runner for agentskills.io-style AI agent skills | Regression testing for AI agents |
| Stars | 637 | 126 |
| Forks | 36 | 21 |
| Open issues | 11 | 3 |
| Language | TypeScript | Python |
| Adopt for | agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. | Regression testing for AI agents to detect behavioral changes and output quality regressions over time. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | The software uses the Apache-2.0 license, offering permissive terms for use and distribution. |
| Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [eval-view](/tools/hidai25-eval-view.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 13d | 6d |
| Open issues (now) | 11 | 3 |
| Full report | [trust report](/tools/darkrishabh-agent-skills-eval/trust.md) | [trust report](/tools/hidai25-eval-view/trust.md) |

## Decision facts: agent-skills-eval

- **Adopt for:** agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript.

## Decision facts: eval-view

- **Pricing:** freemium - Free to use under the terms of the Apache License, Version 2.0.
- **Requirements:** Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality.
- **Adopt for:** Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
- **License detail:** The software uses the Apache-2.0 license, offering permissive terms for use and distribution.

## Choose when

### Choose agent-skills-eval if…

- 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, cli.
- When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances.

### Choose eval-view if…

- eval-view is primarily Python; agent-skills-eval is TypeScript.
- License: eval-view is Apache-2.0, agent-skills-eval is MIT.
- Pricing: Free to use under the terms of the Apache License, Version 2.0..
- Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality..
- Tags unique to eval-view: agent-benchmark, agent-evaluation, regression-testing.
- eval-view ships Docker support for self-hosted deployment.
- When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.

## When NOT to use 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 NOT to use eval-view

- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time.
- When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.

## 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. 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, cli; 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; Pricing: Free to use under the terms of the Apache License, Version 2.0.; Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality.; Tags unique to eval-view: agent-benchmark, agent-evaluation, regression-testing; eval-view ships Docker support for self-hosted deployment; When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.

### 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 do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.

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

agent-skills-eval has more GitHub stars (637 vs 126). 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](/tools/darkrishabh-agent-skills-eval/alternatives) and [eval-view alternatives](/tools/hidai25-eval-view/alternatives) ([agent-skills-eval markdown twin](/tools/darkrishabh-agent-skills-eval/alternatives.md), [eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md)), 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](/compare/darkrishabh-agent-skills-eval-vs-hidai25-eval-view.md) 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: Active. eval-view: Very 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](/tools/darkrishabh-agent-skills-eval/trust); [eval-view trust report](/tools/hidai25-eval-view/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=darkrishabh-agent-skills-eval`](/api/graphcanon/graph?tool=darkrishabh-agent-skills-eval)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
