Classify or explain Momentic test run results using Momentic MCP tools. Use when the user asks to categorize a failure, understand why a run failed, triage test results, or compare run results to past run results.

Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.

Claude Code hooks that auto-switch model tier based on task complexity

Gives DeepSeek Harness three automatic Jev judgments — prune oversized tool output, screen fetched pages for injected instructions, suggest which skill to use — plus the jev_ask and jev_gate tools, a persistent judgment ledger, and a /jev-status diagnosis

DSH Web UI plugin: auto-sends 「继续」 after non-human interruptions, with error classification, adaptive backoff, pause, idempotency/loop guards, resume templates, and stats—all configurable in settings UI | DSH 前端 UI 插件：非人为中断后自动发送「继续」，支持错误分类、自适应退避、暂停、幂等/循环保护、续跑模板与统计，均可在设置界面配置

Enables agents to probe URLs and classify bot-wall responses with vendor and signal evidence, perform offline classification, scan for exposed key-like material, and run owner-side access audits through stdio tools.

Enables MCP clients to retrieve live proxy pricing, fetch tested public HTTP/SOCKS5 proxies, and look up IP geolocation, ISP, ASN, and residential-versus-datacenter classification without an API key or local installation.

Enables MCP-capable assistants such as Codex and Claude to delegate bounded text work — summaries, structured extraction, classification, rewrites, code drafts and log digestion — to locally hosted Ollama models, with conservative routing that keeps small or sensitive tasks with the caller and private-result artifacts for sensitive output.