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DeepSeek Harness용 OpenViking 메모리 및 컨텍스트 번들: 단계 실행 전 자동 리콜과 프로필 주입, 세션 캡처, `viking://` URI 보호, OpenViking 서버 기반의 메모리 조회/기록 도구를 제공합니다.

stdio MCP를 통해 dsh를 로컬 SandBase Harness 런타임에 연결하여 에이전트 및 세션 관리, 턴 스트리밍, 아티팩트 검사, 작업 취소를 수행합니다.

88개의 패키징된 연구, 소셜 인텔리전스, 마케팅 및 비즈니스 에이전트 스킬을 파일 시스템 Skill 프로바이더를 통해 dsh에 마운트합니다.

Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens

Claim-verification skill that checks design documents and plans against codebase facts, escalating behavioral claims to executable logic-primitive verification with structural checks and adversarial probes.

Embedded C/C++ firmware development toolbox: agents and skills covering FreeRTOS, interrupts, NVM storage, Keil MDK, ARMCLANG, HardFault triage, state machines, architecture, and LVGL patterns.

Volcengine Mobile Use Agent plugin for DeepSeek Harness

Install suites from any Claude Code, Codex, Cursor, Kimi or agent-plugins.org git marketplace repo — skills, MCP servers, hooks and slash commands are injected into DSH sessions at runtime, with a market page in the Web GUI.

Self-learning loop for dsh: record lessons, draft and promote skills, periodic curator review that corrects, consolidates, and retires skills.

Token usage and cost metering for dsh: per-session and aggregate statistics with configurable pricing and reports.

Security and governance for dsh: rule-based tool denial, full tool-call audit trail, and governance reports.

Native A2A (Agent-to-Agent) server for dsh: expose this dsh as a callable agent over HTTP with JSON-RPC tasks.

Dual-format plugin development guide: teaches agents to build plugins compatible with both the DSH static plugin package (installable via dsh plugin --profile add) and Agent Plugins 1.0 (plugin.json + skills/). Ships as an Agent Plugins 1.0 plugin, a stan

Turns markdown into a WeChat Official Account (微信公众号) draft: inlines every CSS rule onto its element because the editor discards `<style>` blocks and class names, uploads each local image through WeChat's own endpoint so it is not filtered out, and creates the draft; it never broadcasts.