Agent-skills-eval – Test whether Agent Skills improve outputs
A test runner for agentskills.io-style AI agent skills - darkrishabh/agent-skills-eval
Agent-skills-eval – Test whether Agent Skills improve outputs launched on May 7, 2026 with 79 votes, #475 of 20,538 launches that month and more than 95% of that year's launches.
In plain words
Agent-skills-eval is a testing tool designed to measure whether Agent Skills enhance the quality of outputs. Available on GitHub, it enables developers and AI researchers to evaluate the effectiveness of skill implementations in agent systems. The tool provides a framework for comparing performance metrics before and after skill integration, making it useful for teams building or optimizing AI agents. It launched in May 2026.
written from the facts on this page · September 2026
Does a similar job
all alternatives →
TesslFeb 2026 · tessl.io · ▲260I'm Guy, the founder behind Snyk — now building Tessl, a package manager for agent skills. We’ve recently witnessed that most teams still treat skills as static artifacts: markdown files, created or copied from repo to repo. This approach offers a strong initial boost, but quickly creates debt: - Skills are duplicated, and updates never roll out. - Poor quality skills go unseen, misguiding agents instead of helping. - Skill knowledge grows stale, and don’t keep up with the systems and practices they describe. Without a way to evaluate skills, teams have no clear way to understand how good a…


Web-eval-agent – Let the coding agent debug itself2025 · github.com · ▲84Hey HN! We’ve been building an MCP server to help AI-assisted web app developers by using browser agents to test whether changes made by an AI inside an editor actually work. We've been testing it on scenarios like verifying new flows in a UI, or checking that sending a chat request triggers a response. The idea is to let your coding agent both code and evaluate if what it did was correct. Here’s a short demo with Cursor: https://www.youtube.com/watch?v=_AoQK-bwR0w When building apps, we found the hardest part of AI-assisted coding isn’t the coding—it’s tedious point-and-click…
AgentGuard15d ago · agentguard-sigma-five.vercel.app · ▲71Scan AI agent Skills for risks before you install them
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com