Developer Tool / AI Evaluation / Agent Skill
A GitHub repo that teaches users how to write and debug evals through an agent-guided skill called learn-evals. It includes setup steps, exercises, examples, and a path to install the skill in other projects.
The page clearly presents a useful AI-adjacent developer resource: a repo for learning evals with coding agents. The README explains the purpose, how to get started, what the learn-evals skill does, and how to install it into another project, giving enough evidence for a public listing.
The crawl does not show the actual lesson content, the structure of the exercises, or how much of the skill is already complete beyond the README. It is also unclear what the first runnable example covers in practice and how broad the eval topics are.
Last evaluated just now. Current rank #1842. Down 1 spot in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Molt is an open protocol for letting an AI agent make bounded purchases through disposable, single-use payment credentials. The repo includes a clear quickstart, MCP integration, a threat model, and a working test-mode demo.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
