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Agent-evals

Claude skill to build your own evals

Details

External ID
48013746
Source
HN
Company
—
Product
Agent-evals
Website domain
github.com
Launched
May 4, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.5516962843295639
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I’ve spent the past 10 years working on AI in finance, with much of that time focused on building evaluation systems for production environments.As agents become more widely adopted, more software engineering and product people have start building them. But I’ve noticed that many teams are not yet fluent in systematic evaluation, or in the processes needed to keep agent quality high over time.For large organizations, that gap is rarely the bottleneck due to dedicated teams. But after speaking with a number of startups, it became clear that building strong, up-to-date evals is much harder in a fast startup, especially when the team does not have a data science background.So I tried to condense as much of my experience as possible into a Claude Skill: a practical starting point for evaluating your agent.The idea is simple: tell Claude you need evals, and it will set up a solid baseline directly in your codebase - that's it! The evals will follow patterns I've seen many times before, and will get you a summary of what your agent does well and what it doesnt.Looking forward to your feedback!

Enrichment

Theme
ai coding agents and tooling
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
claude skill for building agent evaluations
Manually corrected
False

Could you build this?

Yes This is an agentic evaluation skill package configured for Claude/Cursor, consisting of prompt templates, testing workflows, and LLM-as-a-judge scoring scripts that can easily be vibe-coded.

Discussion

1 comment analyzed.

Concerns raised: Difficulty ensuring reliability across diverse cases, Subjective output quality assessment

Competitors

Other products that read as similar to this one — 451 launches clear the similarity bar, closest 8 shown.

Attention rank: #199 of 452 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 181 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.