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Agent-skills-eval

Test whether Agent Skills improve outputs

Details

External ID
48046023
Source
HN
Company
—
Product
Agent-skills-eval
Website domain
github.com
Launched
May 7, 2026
Cohort
—
Upvotes
79
Upvotes percentile
0.8820678513731826
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
ai agent infrastructure and tooling
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
evaluation tool for agent skills
Manually corrected
False

Could you build this?

Yes Evaluation suites for agent prompts and skills consist of test runners, LLM API calls, scoring functions, and report generation that AI assistants generate proficiently.

Discussion

20 comments analyzed.

Competitors mentioned: Codex, Claude (for code execution), tidewave (Rails MCP server for DB queries)

Concerns raised: Skills are often ignored by models even when properly defined, Token cost per run not reported alongside correctness metrics, Skills may not outperform fine-tuning given model behavior, Prompts not tightly coupled with capabilities, making skills unreliable, Models default to shell habits over skill instructions

Feature requests: Add token cost per run and cost-benefit analysis to reports, Support skill comparison benchmarks beyond with/without evals, Include time, pass rate, and estimated cost in evaluation reports, Add token count consumed per skill and detailed aggregate stats, Implement self-reflection pass to identify skill improvement recommendations

Competitors

Other products that read as similar to this one — 1639 launches clear the similarity bar, closest 8 shown.

Attention rank: #169 of 1640 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 190 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.