Home/Compare/agent-skills-eval vs agent-learning-kit

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-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language.

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

GraphCanon updated Sep 20, 2026

7views this month

agent-skills-eval logo

agent-skills-eval

darkrishabh/agent-skills-eval

★ 790pushed Aug 5, 2026
vs
agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 119pushed Sep 18, 2026

Trust & integrity

Signalagent-skills-evalagent-learning-kit
Maintenance
Steady (45d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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

Tagline

agent-skills-eval
A test runner for agentskills.io-style AI agent skills
agent-learning-kit
General Purpose Evaluation and Simulation Environment for all your AI related Workflows

Stars

agent-skills-eval
790
agent-learning-kit
119

Forks

agent-skills-eval
42
agent-learning-kit
44

Open issues

agent-skills-eval
15
agent-learning-kit
19

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-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language

Persona

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

Runtime

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

License

agent-skills-eval
MIT
agent-learning-kit
Other

Last pushed

agent-skills-eval
Aug 5, 2026
agent-learning-kit
Sep 18, 2026

Categories

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

Trust and health

Maintenance

agent-skills-eval
Steady (60%)
agent-learning-kit
Very active (96%)

Days since push

agent-skills-eval
45d
agent-learning-kit
0d

Open issues (now)

agent-skills-eval
15
agent-learning-kit
19

Stars delta

agent-skills-eval
+153 (30d)
agent-learning-kit
+1 (30d)

Open issues delta

agent-skills-eval
+4 (30d)
agent-learning-kit
+13 (30d)

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 Other.
  • 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 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.

Choose agent-learning-kit if…

  • agent-learning-kit is primarily Python; agent-skills-eval is TypeScript.
  • License: agent-learning-kit is Other, agent-skills-eval is MIT.
  • Tags unique to agent-learning-kit: agentic-ai, cicd, evaluation, ml.
  • When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents

When NOT to use agent-learning-kit

  • If your project strictly requires a different programming language other than Python or TypeScript
  • When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras

Explore

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 790 · agent-learning-kit 119 (synced Sep 20, 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: General Purpose Evaluation and Simulation Environment 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 Other; 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 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 Other, agent-skills-eval is MIT; Tags unique to agent-learning-kit: agentic-ai, cicd, evaluation, ml; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents.
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 project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
Is agent-skills-eval or agent-learning-kit more popular on GitHub?
agent-skills-eval has more GitHub stars (790 vs 119). 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: Other).
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: Steady. 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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