プラグイン

DeepSeek Harness エージェント向けのフォーカスボード：セッションワークスペース内の永続的でモデルが管理するノートに目的・制約・決定事項を固定し、コンパクションやセッションをまたいで保持します。コンテキストへの自動注入、クリア時のアーカイブ、任意の Web パネル付き。

Endurance-coaching skill bundle that defaults to Intervals.icu for training data (activities, intervals, streams, training load, HRV, resting heart rate, sleep in-bed hours, eFTP) and uses COROS only for training-plan read/write and for fields Intervals.icu lacks (sleep score, recovery score), with iGPSPORT as a fallback for ride details. It turns that data into readiness gating, VDOT pace and heart-rate zones, periodized weekly plans, session reviews, race-day pacing and fueling, and weather-adjusted workouts. The bundle registers the endurance-coach skill in the profile, ships deterministic helper scripts, reads an athlete profile created by its init script, and requires the agent to state when data is unavailable instead of inventing it. Data comes through separately installed MCP servers — the Intervals.icu MCP server for training data, the dsh-coros plugin for training-plan read/write and sleep/recovery scores, an iGPSPORT MCP server only as a ride-detail fallback — and its bundled scripts need Python 3.10+; with none of them it works only from numbers you type in.

Bridges the official COROS MCP server into DeepSeek Harness with a self-contained local stdio-to-HTTP bridge and on-device OAuth login, exposing 34 COROS tools on the current endpoint for sleep, HRV, resting heart rate, recovery, training load, activities and FIT files, plus workout and training-plan CRUD and scheduling.

Five-layer persona (L1–L5), event memory with FTS5 plus Dice retrieval, cognitive filter, skill cards with auto-frozen asset packs, millisecond reflex rules, three-tier safety degradation, a read-only brain star map, and an optional VPet-Simulator MOD bridge.

Nine single-ink print palettes — sage linen, kraft paper, lead type, cyanotype, risograph, CRT tube, phosphor screen, punch card, floppy disk. Each palette carries its own paper grain, type pairing, corner shape, section rule and a whale mark redrawn in its ink, plus a letterpress pass (paper tooth, sheet mottle, ink bite) that can be switched off. Every palette ships separate light and dark tokens.

JetBrains IDE bridge for DeepSeek Harness on Windows: installs as a DSH bundle, publishes the authenticated DSH URL, registers the open IDE project, relays the IDE MCP server, and serves a compact tool-window panel with streaming, approvals, Plan/Act, steer sending, session switching and archived-session filtering. The matching IDEA plugin is attached to the same release; your DSH agent can install it.

Autonomous product-polish loop skill: every round opens a fresh brainstorm from 3 forced perspectives, picks one small angle capped at ≤3 files and ≈100 lines, implements it, verifies with the repo's own tests, build or lint, and commits it as a single round commit; the round is logged to a per-project ledger, and ideas too big for one round go to an icebox. A red check ships nothing — the round commit is reverted immediately so the failed diff stays in history. Non-git targets are rejected before any work starts. Pure skill bundle: no MCP server, no runtime dependencies. Requires DSH 0.2.1-rc.2 or newer, below 0.3.0.

Zhinao (second brain) for DeepSeek Harness: Markdown-authoritative layered memory (L1 long-term model gated by user confirmation / L2 knowledge with mandatory sources / L3 recent status under daily quotas), a local recall ledger explaining every injection, lifecycle engine with weekly review and a Web panel. First-run wizard initializes a blank brain, adopts an existing Zhinao directory read-only, or fills in only missing skeleton files; existing files are never touched.

One click beside the composer turns a half-formed draft into a structured prompt the AI can act on: goal, constraints, output format and acceptance criteria filled in, placeholders only where a real decision is missing. Rewritten in place and never sent — undo with one click or Ctrl+Z. Four editable presets (general / code / writing / translation), optional conversation context to resolve references, and a model that either follows the session or is pinned to a chosen provider and reasoning effort. Requests survive session switches and typing while a rewrite is in flight; a result that no longer matches the draft is kept for retry instead of overwriting it. Pure JS, no build, no bundled dependencies.

Local LoRA and QLoRA fine-tuning in a panel: import JSONL, see a VRAM estimate before training starts, evaluate, and export an adapter. One-click Python venv setup, but you must supply your own Python 3.10+ and an NVIDIA GPU (6 GB or more). Verified end to end on Windows 11 with an RTX 3060 6 GB; the installer refuses non-Windows hosts, so Linux, macOS and other GPUs are unsupported for now.

Global cyber-terminal theme: a click-through full-screen Matrix code-rain overlay, phosphor-green UI styling, a sidebar one-click toggle, and adjustable speed, density, opacity and glow with three palettes.

ADHD-friendly focus soundscape docked under the DSH composer: five procedurally synthesised noise colours (white, pink, brown, rain, fan), a live-waveform orb, a 15-90 minute fade-out timer and a liquid-glass popover. No audio assets and no network requests.

内置 zk 的 DSH 知识库 / 日记插件：装好即用 —— 自动装 zk、建笔记本，给 agent 一组 zk_* 工具（搜索、读写、日记、双链），设置页里管路径、索引与自检。

Matrix-style binary (0/1) digital rain for the Harness interface: columns spawn only while a task is running, fall off screen when it stops, and leave a blank canvas; frosted-glass token layer with adjustable digit and panel opacity.

COROS Sport panel for DeepSeek Harness: sign in to COROS inside the panel, read the account, bound devices, recovery, fitness, recent workouts, daily health and the training schedule in one dashboard, and get a plan from the model with /coros-plan. The plan page writes a fixed four-week, 16-session plan to the account only after a two-step confirmation.

Lingshu起動インジェクターです。新しいエージェントセッションごとにbrain.py startupを実行し、ペルソナ／記憶／TODOを自動注入します。Python 3と~/.dsh/skills/lingshuへのLingshuスキルのインストールが必要です。どちらかがない場合は何もせず終了します。メインリポジトリにはSKILL.mdのバンドル済みエントリーポイントもあります。

AIコーディング用の保護帽。書き込み権限をL0 read-only／L1 workspace-only／L2 fullに段階化し、権限の高い編集は隔離します。必要レベル未満なら書き込みを拒否し、貼り付け可能なblockを返します。すべてのpathにraw string traversal checkとrealpath検証を行い、junction経由の脱出も検出します。

日々のチャットから更新可能なcharacter cardと、ペルソナを訓練するセッション横断emotion moduleを作成します。

DSH Web GUI向けレトロフューチャーな3スキン：夕暮れの列車、ネオンの雨、夕日の海岸。ページ内切替器があり、選択はローカル保存。

WindowsのDSH Profileと選択したHomeデータをオフラインのコールドバックアップとして作成します。ZIPを個別に検査し、実績のある適合ランタイムを備えた新しい保存先へ、単体のWPFアシスタントで復元できます。

DeepSeek Harness Web/Desktopチャットにスタンプ/絵文字リアクションを追加。コンポーザーのスタンプ選択、記録にはパックタグを残しつつ画像描画されるエージェントスタンプ、ユーザーバブル下の絵文字リアクション、絵文字雨エフェクトを備えます。

レトロCRT蛍光体テーマ。純黒Matrixグリーン、40Kアンバーグリーン、TFELアンバー画面から選べます。太い発光文字、コードレイン起動アニメーション、BIOS風コントロールパネルを備えます。

DSH会話ペイン向けの全画面アニメーション背景10種（星空、コードレイン、回路、剣闘、猫、少女、戦闘機、レーサー、雪、泡）。ターンごとにランダムテーマを選び、テキスト列にベールを重ねてチャットの読みやすさを保ちます。

コンテキスト圧縮で実際に失われた内容を監査。生のセッションイベントログから、ユーザーの恒常的制約（禁止/必須/限定指示）の要約での生存、履歴にないパス/版/ポート/IDの捏造、削除済み文への「上記参照」、解放予定量に近い大きさの要約、未計上削除を検査。arXiv 2608.11242 による測定例では、圧縮器全体で制約の生存率は約17%。圧縮の影響度で会話を順位付けする全セッション走査を含む4つのエージェントツール。決定論的でLLM不使用のため、誤判定は特定ルールの不具合です。