@bpc-oss/dsh-evidencePure types, zod schemas, and tool-record evidence derivation for the DSH verification engine (ported from Bobby)
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Agent collaboration · DeepSeek Harness plugins — Page 161
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Explore agent orchestration, multi-agent collaboration and task execution plugins.
@bpc-oss/dsh-verificationVerification engine for DeepSeek Harness: claim -> evidence -> verdict -> completion gate (ported from Bobby's conscience layer)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bpc-oss/dsh-verification#e817abed50aa9c42682b639978120670a2aedb8d&path:packages/dsh-verification@bryan-cmf/dsh-cross-searchDSH-Plugin: multi-engine cross-validated search — parallel queries across Brave/Tavily/DuckDuckGo/Wikipedia (Bing/Mojeek optional), URL dedupe, confidence tiers.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-cross-search@bryan-cmf/dsh-infra-bootstrapDSH-Plugin: minimal infrastructure entry — infra_status / infra_bootstrap tools that probe the mounted infra stack (memory, observability, search, skills) and report readiness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-infra-bootstrap@bryan-cmf/dsh-infra-observabilityDSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-infra-observability@bryan-cmf/dsh-skill-gateDSH-Plugin: skill trigger/selection gate — when the model triggers a skill, the user picks from described candidates; 10s no-choice falls back to the system default.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-skill-gate@bryan-cmf/dsh-skill-trailDSH-Plugin: per-reply skill trail — truthful per-turn triggered/used tool & skill badges, folded from the session log (no model self-reporting).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-skill-trail@bryan-cmf/dsh-vector-memoryDSH-Plugin: durable agent memory core — mem_save / mem_search / mem_health tools backed by the DSH storageDomain (durable, survives restarts), plus a 記憶 view tab.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-vector-memory@carlmarkswx/dsh-vision-serviceVision capability seam for DeepSeek Harness: multimodal models as the agent's eyes (ctx.vision registry and dispatch)
@catheadowl/dsh-evalAgent eval framework over dsh headless runs: case runner, session-trace assertions, and a scripted mock-LLM layer for plugin intent tests.
@chang416/deepseeDeepSee: DeepSeek Harness vision, multi-model routing, and Gemini visual self-checks before delivery
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chang416/deepsee@chaoset/dsh-any-connectDSH plugin: bring models offered by WorkBuddy-style desktop agents into DeepSeek Harness — zero configuration, per-model thinking effort, and billing rate at a glance
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ShanWuYinShe/dsh-plugins#71a5abd66bf563a09e702a505a179a053f65352d&path:packages/dsh-any-connect@charlesqin/dsh-pi-reviewRead-only Pi Agent review of Git changes for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:win4r/dsh-pi-review@chen-001/dsh-opencode-usageOpenCode Go 套餐用量显示插件：滚动/每周/每月用量百分比与重置倒计时，输入框下方常驻徽章 + 展开卡片，Agent 可经 opencode_go_usage 工具查询。API key 默认取环境变量 OPENCODE_GO_API_KEY，可在卡片内覆盖。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:vinyumao/dsh-opencode-usage@chenjie1129/dsh-remotion-video-pluginRemotion video creation skill plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chenjie1129/remotion-video-plugin@codemycookieday/dsh-plugin-browserBrowser-automation tools for DeepSeek Harness (dsh): Chromium via playwright-core behind a security-first navigation policy re-checked on every action
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:coderdailyone/dsh-plugin-browser@creative-dswork/dsh-expmemExperience Memory for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:creativedswork/dsh-expmem@creative-dswork/dsh-mcp-appsCordis-hosted MCP Apps support for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:creativedswork/dsh-mcp-apps@creative-dswork/dsh-uni-editorUnified Editor runtime for DeepSeek Harness, powered by MCP Apps
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:creativedswork/dsh-uni-editor@cromus-ai/dsh-pluginCromus DSH plugin — score, validate, and cost-estimate AI skills from DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:cromus-ai/dsh-plugin@ddv12138/dsh-hash-editHash-anchored read/replace/undo for DeepSeek Harness (DSH), ported from pi-hashline-edit-pro. Every line gets a stable 3-char base-62 anchor; stale/ambiguous anchors are rejected, never fuzzy-matched; undo persists across restarts.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ddv12138/dsh-hash-edit@deads-inc/dsh-web-search-braveBrave Search API-backed web search provider for the DeepSeek Harness web capability seam (ctx.web)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ChrisDeadman/dsh-web-search-brave@deepblend/dsh-blender-bundleDeepBlend Studio Host Bundle: composes the Blender runtime provider, host facade and UI host half, with default configuration.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pearjelly/deep-blend#e327150abf38164b5058bdd340d8558b979fb855&path:packages/deepblend/bundle@deepblend/dsh-blender-contractsDeepBlend Studio Service Definition, protocol contracts, and stable error codes.
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What is DSH Hub?
DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
Does inclusion mean a plugin is tested and compatible?
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.