Developer Tools / AI Evaluation
A TypeScript CLI and SDK for testing whether Agent Skills improve model outputs by running with-skill vs baseline evaluations and generating reports.
The page clearly describes an AI-adjacent developer tool with a specific purpose: evaluating Agent Skills through paired runs, judge grading, and report generation. It includes concrete usage, install instructions, config examples, SDK usage, and output artifacts, which is enough for a useful public listing.
The snapshot does not show maintainer activity beyond commit count, release status, or any real-world examples of evaluation results. It’s also unclear which task types or skill formats work best in practice beyond the agentskills.io-style workflow.
Last evaluated 127 days ago. Current rank #345. Down 3 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
