Best Skills: agent-skill rankings with Jev judgments

This curated directory organizes public projects and discussions by application domain so readers can discover reusable decision patterns. Inclusion requires a public, citable concrete Jev use or documented derivative, with a summary of the scenario and method.

Awesome Jev is heyjunpenn’s community catalog of Jev projects, organized into SDKs, agents, applications, research and other categories. Entries explain what Jev decides and track implementation evidence, reproduction status and metric provenance. Browse by category, then use the evidence labels and upstream links to inspect a project’s actual decision workflow.

awesome-jev-by-typesafe collects sourced Jev use cases, prompts, patterns and starter code as an independent community resource. It explains Choice, Score and Noul for classification, routing and verification while keeping control flow in code. Explore Python and TypeScript examples; offline policy tests need no key, while live examples require TYPESAFE_API_KEY.

awesome-jev-tools catalogs public Jev projects and practices across routing, verification, ranking, agents and research. Inclusion requires a concrete Jev practice; generic projects that merely resemble decision models are excluded. Browse application categories, then inspect API calls, runnable checks, metric sources and licenses in linked projects.

A community directory helps readers find projects by their decision architecture and browse them with search and category filters. Browse the radar website or install its agent skill with npx skills add logicrw/awesome-jev-projects to inspect projects by domain.

Jev Decision Atlas indexes public resources by the decision an agent makes, such as tool selection, routing or classification. Start with the reading path for a first API call, then browse decision patterns and inspect the linked implementation evidence.

Instructions, tools, skills, channels and schedules live in conventional directories, making an agent project inspectable and extensible. The evaluate helper sends typed questions about supplied state through eve's model authentication, defaulting to Jev.

The native CLI supports an interactive shell, scripted requests and embedding, with skills, MCP servers and subagents. Jev receives review policy, context and the pending action, returning a clear or caution decision for the permission pipeline.

The platform supports developing and evaluating SRE agents against live system environments containing operational failure scenarios. Jev support is disabled by default; when enabled for Codex, it reviews diagnostic tests and submissions from evidence sent to TypeSafe.

No project description available.

🚀 Feather Wand - JMeter Agent for performance engineers w/ Codex and Claude Code integration

Agent orchestration that guides projects toward demonstrable goals.