Plugins

Bioinformatics workflow catalog, WDL bundle store, and declarative preflight for DeepSeek Harness.

Register AllRouter as a DSH provider: one base URL and one key for Kimi K3, Claude, GPT, Grok, GLM, DeepSeek, MiniMax-H3. Switch models without managing separate providers; every call reports real cost.

Plugin Cordis para o DeepSeek Harness v0.1: interceta a camada HTTP (auth barrier sobre o fallback da Web UI) e orquestra subprocessos de longa duracao com ciclo de vida reversivel.

Unified appearance coordinator: theme color presets, UI fonts, UI font size, plus per-workspace markdown font size / line-height / background, with a coordination layer that stops UI scaling from leaking into chat body text.

Use OpenCode models inside DeepSeek Harness without a separate provider API key.

OpenAI-compatible LLM adapter plugin for DeepSeek Harness with configurable default sampling parameters (temperature / topP / topK / penalties / seed) over a providers dict.

DeepSeek Harness status-light plugin: character expressions follow the model state, chat-bubble notifications, and a Windows always-on-top mini-window. 状态灯插件：角色表情跟随模型状态 + 聊天框气泡 + 系统级置顶小窗。

Declarative multi-agent pipeline executor for DeepSeek Harness (dsh): runs a manifest of confined role dispatches with mechanical gates and a machine-written evidence ledger. dsh 声明式多角色流水线执行器：按 manifest 派发受限子代理、机械门禁、机器写证据账本。

Capybara secretary for DSH: desktop pet notifications with ding sound, alert inbox API, session-aware alerts (turn done / approval needed / turn blocked), check scripts, and daily high-star plugin recommendations.

URL parsing, tracking-parameter removal, encode/decode, and redirect expansion.

One-click Windows/WSL2 environment switcher for DSH (coexistence mode): both environments run simultaneously on separate ports and switch from the web UI without killing any process.

System parameter adjustment UI: grouped settings page for timeouts, parallelism, LLM retry policy, model params, web search, permissions and presets; safe profile-config editing with line-level YAML matching and post-write validation.

Surgical rewriting of the model-visible conversation history of a DSH session (surface replacement); edit reply and reasoning chain separately. 上下文手术刀：强制改写会话的模型可见历史，回复与思考链分开编辑。

DeepSeek Harness plugin: serve LLM calls with the OAuth tokens your local Codex CLI and Claude Code already hold, instead of a separately configured API key.

Parallel cognitive runtime for DeepSeek Harness: heartbeat-scheduled shadow agents that review, fact-check, and work alongside the main agent

Character skins with an editable decoration board — Yukino warm daily and occult editorial themes, each with dual character sprites + sticker sheets, drag/resize/rotate coordinate editor, custom asset upload, and shareable diorama packs (assets + layout bundled).

Task-queue execution endpoint for DSH: requires a separately self-deployed Hermes Agent gateway plus your own WeChat inbound script; verified on a single environment — expect to adapt it.

Adaptive wallpaper and appearance studio for the DeepSeek Harness Web UI, with image-derived light/dark palettes, colors, blur, fonts, radius, opacity, and scaling.

dsh plugin that turns the iterate skill into an autonomous closed-loop harness: plan -> parallel review xN -> atomic fixes -> validate -> loop -> auto-stop, plus a dry-run pure-review mode with multi-round convergence and a meta-review that audits the rep

Generic LLM gateway model provider plugin for DeepSeek Harness: mounts newapi / LiteLLM / Higress / any OpenAI-compatible gateway as provider routes, auto-discovers the model list, enriches every model with models.dev parameters, and dispatches each model

Evidence-backed Skill self-evolution for DeepSeek Harness: redacted trajectory learning, quarantined proposals, arena validation, canary monitoring, automatic rollback.

Adversarial code review — parallel finders inspect a diff through separate lenses (correctness, lifecycle, contract, security), then each finding goes to independent verifiers tasked with refuting it, and one refutation drops it.

Adversarial multi-lens code review: parallel correctness/security/maintainability lenses attack a diff, with deterministic severity grading, suppression rules and incremental review history.

Declarative task-DAG orchestration for DSH: validates dependency graphs, runs topological task layers in parallel through workflow-backed subagents, and propagates failures deterministically.