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Eval Skills vs io.github.kubeshop/testkube-mcp

Eval Skills is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑27.

Eval Skills is a plugin bundle for AI coding tools published by Confident AI. No marketplace we read lists it any more. io.github.kubeshop/testkube-mcp is an MCP server published by kubeshop. Marketplaces we read that list it: 2 (Official MCP Registry, Docker MCP Catalog). As of our marketplace pass on 2026-10-27. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceEval Skillsio.github.kubeshop/testkube-mcp
Community marketplace confident-ai/eval-skills Removed on 2026-10-27
Version: 1.1.0
Forks (GitHub): 1
Stars (GitHub): 11
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 2.14.2
Forks (GitHub): 180
Stars (GitHub): 1 674
Not marked · First seen
Docker MCP Catalog Not listed Listed
Version: sha256:43aa88f2d416
Forks (GitHub): 180
Pulls (Docker Hub): 34 027
Stars (Docker Hub): 0
Stars (GitHub): 1 674
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Eval Skills vs io.github.kubeshop/testkube-mcp
FactEval Skillsno longer listed · io.github.kubeshop/testkube-mcp
Marketplaces that list it (differs)02
Stars (GitHub) (differs)111 674
Pulls (Docker Hub) (differs)No figure on Docker Hub34 027
Forks (GitHub) (differs)1180
Last release (differs)Not published2026-10-19
Where it runs (differs)Installs as a plugin bundleRemote server or your machine
Transport (differs)Not statedStreamable HTTP, stdio
Tools it declares (differs)Not published28
Environment variables it asks for (differs)Not published9, secrets among them: 1
Parts of the bundle (differs)10Not a bundle
Licence (differs)Apache-2.0NOASSERTION
Repository (differs)github.com/confident-ai/eval-skillsgithub.com/kubeshop/testkube
Changes in the last 7 days (differs)20
First seen (differs)2026-10-152026-10-11
Endpoint at the last check (differs)no remote endpoint we checkResponded 5 days ago, requires a key

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of Eval Skills

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • Plugin Eval

    Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.

    by OpenAI Codex · Plugin bundle

    Listed on: Codex: openai-curated (openai/plugins) · Describes nearly the same job

  • DeepEval

    Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.

    by confident-ai · Plugin bundle

    Listed on: Claude Code: claude-plugins-official, Community GitHub marketplaces · Describes nearly the same job

  • Eval Runner

    Scaffolding, running, documenting, and publishing AI evaluations. Ships skills and commands for setting up eval workspaces, creating custom evals (or adapting existing…

    by danielrosehill · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • eval-genius

    Decide, design, gate, judge, and defend evaluations for LLM, agent, and retrieval systems. Not ordinary unit tests.

    by Alex Greenshpun · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • memoriant-eval-sandbox-skill

    AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit…

    by NathanMaine · Plugin bundle

    Listed on: Claude Code: claude-plugins-community · Describes nearly the same job

  • skill-picker

    Compare AI coding skills head-to-head to find which one works best for your task. Run controlled A/B tests: same model (Claude Code), same tasks, different skills. Each candidate…

    by qhuang20 · Plugin bundle

    Listed on: Claude Code: claude-plugins-community · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

Eval Skills

In its own words, on Community GitHub marketplaces:

Skills that take a coding agent from your first trace to evals you can trust: error analysis, datasets, validated graders, eval runs, and production monitoring.

io.github.kubeshop/testkube-mcp

In its own words, on Official MCP Registry:

MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants

How to run each

Eval Skills

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

io.github.kubeshop/testkube-mcp As a local MCP server: Docker image

Claude Code
claude mcp add --env "TK_ACCESS_TOKEN=<YOUR_TK_ACCESS_TOKEN>" --env "TK_ENV_ID=<YOUR_TK_ENV_ID>" --env "TK_ORG_ID=<YOUR_TK_ORG_ID>" --transport stdio testkube -- docker run -i --rm -e TK_ACCESS_TOKEN -e TK_ENV_ID -e TK_ORG_ID mcp/testkube

Requires: TK_ACCESS_TOKEN (secret), TK_ENV_ID (secret), TK_ORG_ID (secret)

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only io.github.kubeshop/testkube-mcp has a remote endpoint we check. How we check endpoints

Tools each declares

The marketplaces of Eval Skills publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of Eval Skills publish no settings it asks for, so we do not compare settings.

What it can do: Eval Skills · What it can do: io.github.kubeshop/testkube-mcp · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built