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Bidirectional bridge between Hermes Agent and DeepSeek Harness. Hermes dispatches focused tasks via JSON-RPC over POST /mcp/collab (one-shot or continuable, nonce-bound amend, secret-bound consult reply); DSH lets you continue Hermes sessions as native DS
Discovery + management wrappers around the gh CLI for AI coding agents. Ships as a standard agent skill, an Agent Plugins 1.0 plugin (plugin.json + skills/), and a dsh plugin (dsh.bundle.patch registers the skill at runtime).
DeepSeek Harness config sync: export/import DSH settings, API credentials, profile plugin patches and user agent presets as portable local bundles or a single password-encrypted file (AES-256-GCM + PBKDF2-SHA256).
Normalize invalid non-widening sandbox escalation arguments before DSH tool dispatch.
Plug/unplug any DeepSeek Harness plugin cleanly: list every mounted layer, disable/enable without deleting, remove bundles + patch rows + dependencies in one pass, and audit for orphaned/dangling plugin state. Zero runtime dependencies; read-only by defau
DSH plugin: a codex-style apply_patch tool (*** Begin Patch / *** Update File / *** Add File / *** Delete File) injected into the model toolset through DSH's built-in sandbox, with a settings card to choose injection scope (off / GPT models only / all models).
Offline content-addressed proof for supplied vulnerability-remediation closure
装插件全流程自动化:四重安全检查(版本/patch/工具名/供应链)+ 自动安装 + 自动重启 DSH | Safe one-shot DSH plugin installs: four checks + auto install + auto restart
并行多角色代码评审小队：/review 一条命令派出安全/正确性/测试/风格四名只读评审员子代理（每人可单独指定模型与思考强度），汇总为按严重度分组的结构化报告。Parallel multi-role code review squad: /review dispatches security/correctness/tests/style reviewer subagents (each on its own model) and aggregates one severity-grouped report.