Eval Skills vs Entroly
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. Entroly is an MCP server published by juyterman1000. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-28. 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
| Marketplace |  Entroly | |
|---|---|---|
| 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: 1.0.86 Downloads/month (PyPI): 1 455 Downloads/week (PyPI): 339 Forks (GitHub): 73 Stars (GitHub): 480 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
| Fact | Eval Skillsno longer listed · | Entroly |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 2 |
| Stars (GitHub) (differs) | 11 | 480 |
| Forks (GitHub) (differs) | 1 | 73 |
| Last release (differs) | Not published | 2026-10-14 |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (entroly) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 4, secrets among them: 1 |
| Hooks it runs (differs) | Not published | 1 |
| Parts of the bundle (differs) | 10 | 4 |
| Licence | Apache-2.0 | Apache-2.0 |
| Repository (differs) | github.com/confident-ai/eval-skills | github.com/juyterman1000/entroly |
| Changes in the last 7 days (differs) | 2 | 0 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
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.
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Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
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Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
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Scaffolding, running, documenting, and publishing AI evaluations. Ships skills and commands for setting up eval workspaces, creating custom evals (or adapting existing…
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Decide, design, gate, judge, and defend evaluations for LLM, agent, and retrieval systems. Not ordinary unit tests.
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AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit…
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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…
What each says it does
Eval Skills
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.
Entroly
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
How to run each
Eval Skills
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Entroly As a local MCP server: PyPI package
claude mcp add --transport stdio entroly -- uvx entrolyCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
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: Entroly · 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. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.