Plugins

Feishu IM bridge for dsh: create a dedicated Feishu bot by scanning a QR code, get one Card JSON 2.0 notice per finished turn, answer tool approvals and structured questions from the chat, and drive a session from it — listing and switching the bound session with /sessions and /resume, steering a running turn, and choosing per-chat permission modes (read-only, workspace, Auto Review, full). Long output paginates instead of being cut. Owner binding: the QR scan binds the scanner; with manually entered credentials the first sender claims ownership and everyone else is refused.

An x_archive tool that turns an X (Twitter) post link into a permanent Markdown snapshot via the 2100laike archive service: images are re-hosted so they never break, snapshots survive post deletion, resubmits dedup-hit and return the latest version without spending quota, and refresh forces a refetch with a PAT. Needs the third-party 2100laike service; anonymous use is limited to 8 archives per day per plugin instance and a registered PAT raises that to 100 per day.

A wb_archive tool that turns a single Weibo post link (m.weibo.cn/status/...) into a permanent Markdown snapshot via the 2100laike archive service: long posts are fetched in full, images are re-hosted so they never break, snapshots survive post deletion, and resubmits dedup-hit and return the latest version without spending quota. Needs the third-party 2100laike service; anonymous use is limited to 8 archives per day per plugin instance and a registered PAT raises that to 100 per day.

Brain-shaped relationship graph viewer for DeepSeek Harness with a Markdown knowledge-base pipeline that imports documents and builds the graph. The viewer ships demo data and needs no Python; rebuilding the graph from your own notes needs Node.js 20+ and Python 3.8+ and runs from the command line.

A greeting card that speaks — 156 prebuilt voice clips with a one-click mute — plus per-turn completion reports, long-run companionship notes and a takeover approval panel in the DSH conversation area.

Right-click a dash in the conversation's right-edge turn rail to bookmark that turn: the dash grows to the rail's full width and takes the accent colour so it stays easy to find, and right-clicking again unbookmarks it. Bookmarks are scoped per conversation, keyed by the selected Session id, and persisted so they survive reloads. No layout shift - the rail keeps its fixed pitch.

Watches download commands (git clone, package-manager installs, curl) and, when one overruns its budget, aborts it and writes a switch-source advisory into the tool result, so the agent retries from another mirror instead of waiting on a dead one. Timeouts are set per kind of work, and acting versus only reporting is switched per scene. A supervisor indicator reacts while something is stalled.

DeepSeek Harness (DSH) 官方与开源生态「插件与 Skill 双生态市场」一键安装与资产管理中心 (Plugins & Skills Market)

Computer Use enhancement plugin for DeepSeek Harness (DSH). 纯 JS 视觉差分、网格位置编码、长程任务闭环与人机共驾授权。

A run_tests tool that turns a failing test run into precise context instead of a raw dump. It detects the runner (pytest, jest, vitest, cargo, go, npm), extracts the file, line and assertion of each failure, and stops the loop when failures with an identical signature repeat. Output is decoded so Windows-encoded and non-Latin assertion text stays readable.

给 DeepSeek Harness 加个插件:把信息整理成 Inline 能接入的文章

DSH plugin: one agent tool that audits a project for release-time infringement risk (licence contagion, copied third-party code, assets, trademarks, secrets) before publishing.

模型故障转移队列：P1 限额/限流/不可用时自动切到队列下一个模型继续，全部图形界面配置 | Model fallback queue for DeepSeek Harness: auto-switch to the next model when the current one hits quota or rate limits

百通插件广场：在 DeepSeek Harness 中浏览、搜索并安装百通插件市场的 DSH 插件与百通技能库技能

Whale-girl desktop pet for the DSH Web UI, drawn with hand-written SVG + CSS (no image or audio assets, zero runtime dependencies): swims while a turn runs, blows labeled bubbles on tool calls, taps the glass with an amber pulse when an approval is waiting, jumps with a turn duration/tool-count report on success and droops on failure, naps after dark or when idle. Click to poke, double-click to pet (affinity hearts), drag with remembered position, right-click menu (feed / mute / reset / hide), hover card with level, title, XP bar and per-turn stats. A `whale_say` tool lets the agent make her speak or act as a lightweight visible notification. Read-only over sessions and workspace; only ~/.dsh/whale-girl/state.json is written.

Appends a tiny ice marker to the end of every sentence the model writes, chain of thought included, and plays a short synthesized sound for each one.

Native DSH tools for playing Stronghold Protocol solo games over the game site's WebSocket connection, with compact state views, explicit actions and public card lookups.

Animated pixel-art blue and white whale pet that sits on top of the composer in a new session.

Writes short plain-Chinese notes for installed dshmarket plugins that have none and shows them on the market cards; hand-written notes are left alone (only entries marked 🤖 may be regenerated with force=ai), and dshmarket is required.

Plugin advisor for DeepSeek Harness: describe what you need and it ranks the npm packages carrying the dsh-plugin keyword by denoised metrics (daily baseline, week-over-week growth, release cadence, freshness) into a first pick, alternates and plugins to avoid; ships a sidebar panel, four AI tools and one-click install.

Union IM bridge for DSH — an independent implementation uniting the capability sets of community peer plugins (xmanrui/dsh-im, MichengAI/dsh-im-connect). Drive your agent session from 15 channel adapters across 12 platforms (including email; WeCom/DingTalk/QQ each contribute two: bot + self-built app or notify tier) — WeChat (official iLink QR bind), Feishu/Lark (long-connection + streaming cards; the voice tier requires system ffmpeg), Telegram, Discord, WeCom intelligent bot & self-built app (signed callback), DingTalk (stream + AI Card and custom-robot notify), QQ official bot (plus notify tier), Slack (Socket Mode), WhatsApp (Baileys QR pairing; the dependency ships as an optionalDependency of the plugin package), Matrix, iMessage (macOS only), Email (IMAP/SMTP thread routing). The cross-version narrow waist auto-adapts settings gen1/gen2/gen3 across hosts 0.1.2-rc.1→0.2.1-rc.2 (12-tag enum; rc.2 verified by a real desktop-profile install with double read-back) using capability probing only, never version branches. In chat: a 25-command panel, tool-approval and question loops answered in the originating chat (deny-by-default, initiator-only, 5-min expiry), image/file input gated on host model metadata, deliverable file return, a delivery log with bounded retry (uncertain is never re-sent), proactive delivery and fragment composition. It also splits the native sidebar into self-owned Tasks / Channels tabs (standing down entirely when another plugin already owns the slot), registers an `im-concise` agent preset plus reply sanitisation that keeps GenUI fences and raw HTML out of text-only chats, renders `svg` fences to PNG images, guards model choice with an allowlist, and mirrors each turn's final answer to notify channels via `/relay` (addressed by account ID or alias, never guessed on ambiguity). Secrets are one-way into the vault and never echoed back. npm: `dsh-im-union`.

Compaction integrity: directive lines (never/must/必须 style markers) extracted from the compacted range are verified against the summary — verbatim or by content-word coverage — and every constraint the session silently forgot is reported and written to a JSONL ledger; pinned constraints from config are checked on every compaction.

Replaces detected secrets (OpenAI, AWS, GitHub, PEM, Bearer) with deterministic, structurally valid honey tokens before they reach the model or the session file; adds manual marking for values the detectors miss, explicit user-visible restore, a cross-session canary alarm, and an opt-in JSONL log of substitution counts that never records the underlying values.

Inspects ONNX models (inputs/outputs, shapes, opset, operators, size) and benchmarks them with ONNX Runtime on the local machine or on a remote target over SSH, reporting average/P50/P95/P99 latency, FPS and the execution provider actually used, with PASS/FAIL gates for FPS, P95 latency and model size. Requires Python 3.10+ with numpy, onnx, onnxruntime, and psutil installed (pip install numpy onnx onnxruntime psutil); remote targets need python3, numpy, and onnxruntime.