---
title: "agent-skills-eval vs agent-learning-kit"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/darkrishabh-agent-skills-eval-vs-future-agi-agent-learning-kit"
tools: ["darkrishabh-agent-skills-eval", "future-agi-agent-learning-kit"]
---

# agent-skills-eval vs agent-learning-kit

*GraphCanon updated Aug 1, 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 agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.

[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. [agent-learning-kit](https://futureagi.com) has 118 stars, 43 forks, and 6 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [agent-skills-eval's repository](https://github.com/darkrishabh/agent-skills-eval) and [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit).

| | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) |
| --- | --- | --- |
| Tagline | A test runner for agentskills.io-style AI agent skills | Evaluation Framework for all your AI related Workflows |
| Stars | 637 | 118 |
| Forks | 36 | 43 |
| Open issues | 11 | 6 |
| Language | TypeScript | Python |
| Adopt for | agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. | Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 13d | 0d |
| Open issues (now) | 11 | 6 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/darkrishabh-agent-skills-eval/trust.md) | [trust report](/tools/future-agi-agent-learning-kit/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: agent-learning-kit

- **Adopt for:** Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.

## Choose when

### Choose agent-skills-eval if…

- agent-skills-eval is primarily TypeScript; agent-learning-kit is Python.
- License: agent-skills-eval is MIT, agent-learning-kit is Apache-2.0.
- Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli.
- Also covers AI Agents.
- When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances.

### Choose agent-learning-kit if…

- agent-learning-kit is primarily Python; agent-skills-eval is TypeScript.
- License: agent-learning-kit is Apache-2.0, agent-skills-eval is MIT.
- Tags unique to agent-learning-kit: ci-cd, evaluation, ml.
- When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.

## 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 agent-learning-kit

- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
- When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.

## Common questions

### What is the difference between agent-skills-eval and agent-learning-kit?

agent-skills-eval: A test runner for agentskills.io-style AI agent skills. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.

### When should I choose agent-skills-eval over agent-learning-kit?

Choose agent-skills-eval over agent-learning-kit when agent-skills-eval is primarily TypeScript; agent-learning-kit is Python; License: agent-skills-eval is MIT, agent-learning-kit is Apache-2.0; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli; Also covers AI Agents; 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 agent-learning-kit over agent-skills-eval?

Choose agent-learning-kit over agent-skills-eval when agent-learning-kit is primarily Python; agent-skills-eval is TypeScript; License: agent-learning-kit is Apache-2.0, agent-skills-eval is MIT; Tags unique to agent-learning-kit: ci-cd, evaluation, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.

### 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 agent-learning-kit?

If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.

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

agent-skills-eval has more GitHub stars (637 vs 118). Stars measure visibility, not whether either tool fits your constraints.

### Are agent-skills-eval and agent-learning-kit open source?

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

### Where can I find alternatives to agent-skills-eval or agent-learning-kit?

GraphCanon lists graph-backed alternatives at [agent-skills-eval alternatives](/tools/darkrishabh-agent-skills-eval/alternatives) and [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) ([agent-skills-eval markdown twin](/tools/darkrishabh-agent-skills-eval/alternatives.md), [agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/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-future-agi-agent-learning-kit.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 agent-learning-kit?

agent-skills-eval: Active. agent-learning-kit: 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 agent-learning-kit?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-skills-eval trust report](/tools/darkrishabh-agent-skills-eval/trust); [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/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/_