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Comparison

agent-skills-eval vs agent-learning-kit

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.

Markdown twin · agent-skills-eval alternatives · agent-learning-kit alternatives

GraphCanon updated 3w

agent-skills-eval logo

agent-skills-eval

darkrishabh/agent-skills-eval

★ 637pushed Jul 15, 2026
vs
agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026

Trust & integrity

Signalagent-skills-evalagent-learning-kit
Maintenance
Active (13d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
agent-skills-eval trust reportagent-learning-kit trust reportTrust methodology

Tagline

agent-skills-eval
A test runner for agentskills.io-style AI agent skills
agent-learning-kit
Evaluation Framework for all your AI related Workflows

Stars

agent-skills-eval
637
agent-learning-kit
118

Forks

agent-skills-eval
36
agent-learning-kit
43

Open issues

agent-skills-eval
11
agent-learning-kit
6

Language

agent-skills-eval
TypeScript
agent-learning-kit
Python

Adopt for

agent-skills-eval
agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript.
agent-learning-kit
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

agent-skills-eval
-
agent-learning-kit
-

Runtime

agent-skills-eval
-
agent-learning-kit
-

License

agent-skills-eval
MIT
agent-learning-kit
Apache-2.0

Last pushed

agent-skills-eval
Jul 15, 2026
agent-learning-kit
Aug 1, 2026

Categories

agent-skills-eval
AI Agents, Evaluation & Observability
agent-learning-kit
Evaluation & Observability

Trust and health

Maintenance

agent-skills-eval
Active (82%)
agent-learning-kit
Very active (96%)

Days since push

agent-skills-eval
13d
agent-learning-kit
0d

Open issues (now)

agent-skills-eval
11
agent-learning-kit
6

Owner type

agent-skills-eval
User
agent-learning-kit
Organization

Full report

agent-skills-eval
Trust report
agent-learning-kit
Trust report

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.

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.
GitHubDetails

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-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.
GitHubDetails

Explore

agent-skills-eval trust report →agent-learning-kit trust report →AI Agents category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-skills-eval 637 · agent-learning-kit 118 (synced Jul 28, 2026).

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 and agent-learning-kit alternatives (agent-skills-eval markdown twin, agent-learning-kit 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 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; agent-learning-kit trust report.

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