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DeepSeek Harness 에이전트용 포커스 보드: 세션 워크스페이스에 모델이 유지 관리하는 지속적 노트로 목표, 제약, 결정을 압축과 세션을 넘어 고정하며, 자동 컨텍스트 주입, 초기화 시 아카이브, 선택적 웹 패널을 제공합니다.

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 시작 인젝터입니다. 새 에이전트 세션마다 brain.py startup을 실행하고 페르소나/기억/TODO를 자동으로 넣습니다. Python 3과 ~/.dsh/skills/lingshu에 설치된 Lingshu 기술이 필요하며 둘 중 하나라도 없으면 아무 작업도 하지 않습니다. 기본 저장소에는 번들 SKILL.md 진입점도 있습니다.

AI 코딩용 안전모입니다. 쓰기 권한을 L0 read-only / L1 workspace-only / L2 full로 등급화하고 권한이 높은 편집은 격리합니다. 필요한 단계보다 낮으면 쓰기를 거부하고 바로 붙여 넣을 수 있는 블록을 반환합니다. 모든 경로에 raw-string traversal 검사와 realpath 검증을 해 junction 탈출도 잡아냅니다.

매일 대화에서 업데이트 가능한 character card와 페르소나를 학습시키는 세션 간 emotion module을 만듭니다.

DSH Web GUI용 레트로퓨처 스킨 3종: 황혼 열차, 네온 비, 석양 해안. 페이지 내 전환기와 로컬 저장 선택을 제공합니다.

Windows DSH Profile과 선택한 Home 데이터를 오프라인 콜드 백업으로 만듭니다. ZIP을 별도로 검사하고 검증된 일치 런타임이 있는 새 대상에 독립형 WPF 도우미로 복원합니다.

DeepSeek Harness Web/Desktop 채팅에 스티커/이모지 반응을 추가합니다. 입력창 스티커 선택기, 대화 기록에는 팩 태그를 남기고 이미지로 렌더링되는 에이전트 스티커, 사용자 말풍선 아래 이모지 반응, 이모지 비 효과를 제공합니다.

레트로 CRT 형광체 테마입니다. 순수 검정 Matrix 녹색, 40K 황녹색, TFEL 황색 화면을 제공합니다. 굵게 빛나는 글자, 코드 비 시작 애니메이션, BIOS 스타일 제어 패널을 포함합니다.

DSH 대화 창용 전체 캔버스 애니메이션 배경 10종(별빛, 코드 비, 회로, 검투, 고양이, 소녀, 전투기, 레이서, 눈, 거품)입니다. 턴마다 무작위 테마 하나를 선택하며 텍스트 영역에 베일을 적용해 채팅 가독성을 유지합니다.

컨텍스트 압축에서 실제로 사라진 내용을 감사합니다. 원시 세션 이벤트 로그로 사용자 상시 제약(금지/필수/한정 지시)의 요약 내 생존 여부, 이력에 없던 경로/버전/포트/ID 환각, 삭제된 문장을 가리키는 “위 참조”, 절감량만큼 큰 요약, 미집계 삭제를 검사합니다. arXiv 2608.11242 측정에 따르면 압축기 전반에서 제약 생존율은 약 17%입니다. 압축 피해 정도로 대화를 정렬하는 전체 세션 스윕 등 에이전트 도구 4개. 결정론적이며 LLM을 쓰지 않아 오답은 특정 규칙 버그입니다.