Plugins

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

Chinese-first UI enhancement: translates slash-command names and plugin-inventory cards with three display modes (Chinese only / Chinese + English / off), switching instantly without losing English.

Audit each finished assistant turn with an independent reviewer model and steer the agent to fix failed output, with at most 2 review rounds per turn and SOP-folder standards injected as an extra review dimension.

DeepSeek Harness plugin: gzip /api responses for DSH versions before 0.1.2-rc.1 — fixes history loading failures over slow links; DSH 0.1.2-rc.1+ is unsupported

DIY你的小蓝鲸吧

为 DeepSeek Harness 提供桃濑日和的动态插件

A visual plugin marketplace for DSH: browse multiple Git sources, install plugins with one click, and wire skills, subagents, MCP connectors, LSP servers and hooks into the harness automatically.

Use your phone as a DSH peripheral remote: send messages (typed or dictated with the phone keyboard), answer yes/no and choice prompts, browse messages and switch sessions on a Game Boy-style screen, paired over LAN QR or a built-in Cloudflare tunnel.

Pushes DSH approval and question cards to IM channels (WeChat first) and answers them from chat, with a session console, per-channel security, and an open push service.

Irreversible secret-scrubbing guard: rewrites access keys, bearer tokens, and private key blocks into `[REDACTED:<category>]` placeholders before they reach the session log and the model.

Multi-channel notifications for DeepSeek Harness: registers a send_notification tool and a settings page fanning out to NotifyX, WeCom app webhook, WeCom group robot, email (Resend), SMTP, DingTalk, Feishu robot; plus browser notifications and automatic notification on task completion and blocking events.

One-click update for the local DeepSeek Harness checkout — compare versions, pull and rebuild, then restart, and roll back to any past release, all from a sidebar panel with live progress.

Scheduled DeepSeek Harness Agent tasks with mandatory end-to-end tests, run history, and bidirectional delivery through nine messaging channels.

Product Design workflow suite for DeepSeek Harness - a router plus nine pd-* skills carrying ideas from a minimum design brief through visual directions, evidence-grounded research and audits, URL cloning, frontend builds and a blocking design-QA gate.

An RTS-style orchestration dashboard where commands replace chats: a resident commander agent decomposes each order into task briefs with acceptance criteria, typed subagent troops (recon/engineer/medic/scribe) execute them across isolated workspaces, and every session is indexed by the order that started it.

Explicit cross-session work state for DeepSeek Harness: goals, decisions and next steps captured automatically from host events or via a model-visible work_state tool, inspectable with /checkpoint.

Whole-report verification for scientific reports: per-claim checks against Crossref, PubMed (retraction scan), ClinicalTrials.gov, UniProtKB, GEO/SRA and PatentsView, URL accessibility and title agreement, claim-vs-source meaning at temperature 0, and a durable restartable audit ledger with an annotated report.

Council of High Intelligence: assemble an 18-member think tank of historical figures for multi-perspective structured debate, with a live DAG side panel, SQLite run history, and per-project defaults via .council.yaml.

Self-evolving project-level Agent for DeepSeek Harness: 16 SDD workflow skills (clarification, PRD, issue, coding, locating, acceptance, review) plus project memory and knowledge that compound over time.

Skill marketplace with aggregated search across SkillHub and ClawHub, in-app README preview, one-click install and uninstall, and a chat-input skill picker.

AI-driven presentation workflow packaged as a dsh skill: generates editable PPTX decks and SVG snapshots from PDF, DOCX, URLs or Markdown, fills native PPTX templates, and enhances finished presentations.

Brings the codebase knowledge-base capability of langchain-ai/openwiki into DSH — one-click generate/read/update of the repository Wiki, Grounded Claims (source-traced knowledge cards) and a project knowledge base built from uploaded local files, reusing the model DSH already has configured, with no second API key.

Configurable image recognition for text-only DSH models: attached images are preserved through the DSH 0.1.7-rc.2 adapter pipeline, transcribed by an OpenAI-compatible vision model, and passed to the main model as text. Supports selectable OpenAI, Anthropic, Gemini or Azure auth headers and reports a missing API key before sending a request.

WSL tools for DSH: Linux commands with exit codes, timeouts and spill files; background jobs; path conversion; environment and project checks. Per task: a long-lived session for multi-step work, a fresh shell otherwise, subtasks above the composer. It also works in a terminal you opened, read-only while it runs, one click to take back the keyboard. Destructive commands need consent; root is a switch. Commands run as you, below the DSH sandbox.