Plugins

Integrates TypeSafe Jev for skill and file selection, task supervision, shared-finding corrections, tool-output filtering, approval assistance, and recorded-stage navigation in DeepSeek Harness; all features are disabled by default.

Classifies pending tool calls with Jev (TypeSafe AI's non-generative decision model) on tools/pre-execute — confident high-risk calls are denied, ambiguous ones escalated to approval — and auto-approves clearly-granted reversible calls on approval/request behind argument-evidence gating. Also subclasses the session-reference resolver so snapshots keep Jev-scored messages instead of dropping oldest-first. Degrades to stock behavior on any provider failure; shadow mode with a /jev-stats command; TypeSafe or OpenRouter endpoints; 64 tests.

Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。

Jev-powered decision layer plugin for DeepSeek Harness

AX-first macOS computer use for DeepSeek Harness: accessibility snapshots with stable refs, background input, Unicode typing, menus and apps, set-of-mark screenshots, on-device OCR and verified actions — 11 tools bridged to the macos-cu CLI.

AX-first macOS computer use for DeepSeek Harness: accessibility snapshots with stable refs, background input, Unicode typing, menus, apps, set-of-mark screenshots, on-device OCR, verified actions, and optional Jev (TypeSafe System One) semantic guards — 1

Adds human-facing TypeSafe Jev advice to DSH multiple-choice prompts, on demand by default with optional automatic requests, recommendations, probabilities, confidence, close-call warnings, copyable suggestions, one-click adoption, profile-scoped card layouts, temporary decision preferences, optional request previews with common-credential masking, and local health checks with sanitized diagnostic exports.

Jev-scored context compaction for DeepSeek Harness -- keep the messages that matter, compact the ones that do not

Registers the TypeSafe/Jev (System One) skill into DeepSeek Harness's global skill layer, so every session can classify, route, score, extract and gate on confidence using typed judgments instead of prompt-and-parse. Ships no API key; the user supplies OPENROUTER_API_KEY.