Who is agent-skill-eval for?

agent-skill-eval is an open-source project built for AI researchers and developers.

Is agent-skill-eval free?

Yes — agent-skill-eval is open source under the MIT license and free to use.

What platforms does agent-skill-eval run on?

agent-skill-eval runs on the command line.

Is agent-skill-eval still active?

The GitHub repository shows 53 commits in the last 90 days.

What are alternatives to agent-skill-eval?

Similar projects tracked by PulseGate include agent-skill-description-optimizer, openagent-eval, and OpenAgentSkill.

Who makes agent-skill-eval?

agent-skill-eval is developed by tardigrde.

How long has agent-skill-eval been around?

agent-skill-eval first shipped in 2026.

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agent-skill-eval

Name: agent-skill-eval
Author: tardigrde

PyPIInfrastructure

agent-skill-eval is an open-source CLI framework for evaluating the skills of code-generating agents across models like OpenCode, Claude Code, and Codex. It enables researchers and developers to benchmark agent performance using standardized tests.

Open SourceMITCLI

Visit PyPI

Overview

4 features

In the LLM eval & observability space, agent-skill-eval takes a focused approach. It focuses on providing a standardized way to evaluate and benchmark agent skills across different LLM code models. agent-skill-eval is an open-source project aimed at AI researchers and developers. agent-skill-eval is open source under the MIT license. agent-skill-eval is available on the command line.

Behind agent-skill-eval is tardigrde, and it first shipped in 2026. Development happens publicly on GitHub with 53 commits in the last 90 days. Key capabilities include agent benchmarking, skill evaluation, and LLM support.

Summary written by a language model from the project’s public pages.

Agent benchmarking
Skill evaluation
LLM support
Command-line interface

Built with & integrations

AI providers

openai

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed30 Jun · 08:53 UTC
agent-skill-eval verified against its public source
Source: PulseGate · Open

Frequently asked questions about agent-skill-eval

What does agent-skill-eval do?: Agent-skill-eval focuses on providing a standardized way to evaluate and benchmark agent skills across different LLM code models. It is catalogued under LLM eval & observability on PulseGate.
Who is agent-skill-eval for?: agent-skill-eval is an open-source project built for AI researchers and developers.
Is agent-skill-eval free?: Yes — agent-skill-eval is open source under the MIT license and free to use.
What platforms does agent-skill-eval run on?: agent-skill-eval runs on the command line.
Is agent-skill-eval still active?: The GitHub repository shows 53 commits in the last 90 days.
What are alternatives to agent-skill-eval?: Similar projects tracked by PulseGate include agent-skill-description-optimizer, openagent-eval, and OpenAgentSkill.agent-skill-description-optimizer openagent-eval OpenAgentSkill
Who makes agent-skill-eval?: agent-skill-eval is developed by tardigrde.
How long has agent-skill-eval been around?: agent-skill-eval first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: AI researchers and developers
Model: Open source
Solves: Providing a standardized way to evaluate and benchmark agent skills across different LLM code models.

Registered as

GitHub: tardigrde/agent-skill-eval
PyPI: agent-skill-eval

Developer

tardigrde

Small team

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 12 Jun 2026
Commits 90d: 53
Contributors: 2
Authorship: Small team
Default branch: main
Latest release: v0.6.1 · 12 Jun 2026

Index record

Identity confidence: Low · 64
Indexed: 30 Jun 2026
Lifecycle: Alive
Last seen: 30 Jun 2026

Identity audit (12)

Slug: agent-skill-eval-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 30 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/agent-skill-eval

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