Plugins

Running panel for dsh for skill management and visualizing skill calls: live skill and tool calls, the skill-catalog token budget against a line that follows the model's context window, a skill loadout window that enables and disables skills in bulk with dry run and undo, goals and ideas, and saved conversation excerpts. Applying a loadout moves skill folders between ~/.agents/skills and ~/.agents/skills-parked, which other apps share (dry run first, undo available); automatic translation, goal inference and idea collection call your default model only after you opt in on first open.

Expose DeepSeek Harness sessions to Google Antigravity (Gemini) through a local, token-guarded HTTP bridge.

恢恢量化 (hhxg.top) A股量化数据插件 for DeepSeek Harness：13 个工具——日报快照 / 财经快讯 / 融资融券 / 投资者事件日历 / 市场情绪 / 题材热度 / 数据集目录 / 个股诊断 / 条件选股与策略预设 / 连板晋级预测 / 异动历史 / 数据集查询 / 盘中实时，全部经 hhxg MCP server 取数，填入 Max 会员的 AI 接入 Token（MCP Token）即用。A-share quant data plugin for DeepSeek Ha

A personal-agent community with a desktop companion and owner-approved social actions. Needs a Podwhale community account token to connect (without one it is a read-only local demo); built for DSH 0.2.2-rc.1.

Bridges campfire group chats into DeepSeek Harness, delivering messages addressed to your member into a DSH session and posting the reply back to the group. Needs a self-hosted campfire server plus a member handle and channel token; anyone who @-mentions that member in the configured chat can start a turn.

Raises the local Host's HTTP header budget to 128 KiB and prunes stale dsh-auth cookies only on the launch-token response that mints the replacement, so an already-locked-out desktop profile recovers and later random-port launches stay at one cookie.

Replaces keys, tokens and passwords with <SG_> placeholders before they enter model context; plaintext stays in a local AES-256-GCM vault, revealed by a click-to-reveal lock in Settings and in user messages.

Operate GitHub for real instead of read-only: create and manage repositories, read and write files, clone/commit/push actual code with your local git, open pull requests and issues, and search. The token goes into DSH's credential store, never into config, and git authenticates through a one-shot header so it never lands in the remote URL.

See the whole screen clearly: a 146-token overview map first, then 1:1 blocks up to 1400x900 so text is pixel-legible; a single sight_see tool with an on-screen eye toggle, measured against a 1600px host shrink limit. Windows only (it uses PowerShell); capture stays off until you click the eye.

Disk, CPU/memory/GPU, listening-port and token-usage cards with a full-page zoom; the port card works on Windows only and the GPU card needs nvidia-smi.

Rewrites bash tool calls through `rtk rewrite` on the `tools/execute` hook, so it applies to any provider route. Zero dependencies and no build step: a single ESM module that adopts exit codes 0 and 3, runs the original command otherwise (no equivalent, deny rule, missing rtk, spawn failure), restores the original arguments after dispatch, and honors `RTK_PREFIX_ONLY` for direct `rtk <cmd>` prefixing and `DSH_RTK_BIN` to pin the binary.

Archive, search, and recall group-chat quotes locally, with an agent-callable quote tool and a full AstrBot-style management page (library, statistics, insights, trash, people, collections, and collaboration). Needs Node.js 22.13+; QQ capture and reposting are optional and require a running SnowLuma / OneBot v11 HTTP gateway, whose address and access token the plugin finds automatically in local SnowLuma and qq-bridge config files.

Registers a battle-tested development delivery rulebook as a skill family - one core skill (clarification, delivery checklist, navigation) plus nine focused skills (layered architecture, evidence-driven debugging, minimal changes, impact-graded verification, migration feature parity, async UI feedback, sizing rules, CLI safety and cleanup, project notes). Only the skills matching the current task are loaded, trivial tasks (small reversible single-file edits) are exempted outright, so each session pays tokens just for the rules it actually uses.

Lists every system-prompt section, context block and tool schema assembled for a session with per-item token estimates, and lets you rewrite sections or hide tools for that session.

Enhanced derivative of ai-shushu/dsh-quota-meter; cannot be installed alongside it (both serve /quota). Per-session spend and quota meter for DSH: bills real token usage against an editable model price table (including peak/off-peak pricing), shows a live progress bar and, in the session header, a balance capsule (the balance needs a DeepSeek API key), and blocks new model calls when a session budget runs out. Subagent and helper-call spending rolls up into the parent session ledger.

Context control for DeepSeek Harness: inspect token usage across request and conversation; switch skills, MCP servers and plugins between loaded, brief and hidden per session; toggle prompt sections and tools; compact on demand or at a configurable 5–95% threshold.

A deliberately context-free chat panel in the right sidebar: it sends only a one-line system prompt plus what you type there, with no tools, no session history and no fork of the current conversation, and keeps the panel history in memory. Each reply reports its own token usage, plus the cache hit rate on routes that return cache stats.

Composer dock monitor with 5 drag-reorderable pills (Context, Tokens, CPU, GPU, MEM): a 20x5 context brick matrix, per-turn net upload/download token bars, and 200ms native macOS Mach/IOKit scrolling charts with top-5 process lists. The native sampler is compiled on first start and needs clang (Xcode Command Line Tools); without it the charts fall back to 1-second samples.

Pulls your chat.deepseek.com conversations into a local knowledge base — one Markdown file per conversation, a JSONL transcript and a catalog — and searches them from a control page inside DSH. Daily increments plus a full-history backfill from the official export, an integrity check, and an optional model step that runs through the host llm service and writes only after its JSON passes validation. Reads the web userToken from the DSH credential store and calls chat.deepseek.com only; no install scripts, no runtime dependencies.

A full-frame animated HUD background for the DSH Web GUI — a rotating light ring that mirrors the live session, with token capture and tool beams following the token stream and tool calls. Press C for the settings panel (117 parameters, six palettes, presets, import/export); press H to show or hide the right-hand HUD. A fork of Ke-wood/dsh-haloflux (itself the DSH port of Ryder191's HALOFLUX) whose display, HUD and control layers were rebuilt; same package name and bundle id as upstream, so it cannot be installed alongside it.

Workspace-wide conversation tree for DeepSeek Harness: every conversation and branch on one canvas with its source turn, own token usage and notes; compare two branches, bring a summary back, export a Markdown outline, archive (undoable through DSH's native archive), and delete a whole subtree (macOS and Windows only; deletion runs immediately and is permanent).

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.

Qingyun Jianxian (青云剑仙, Azure Cloud Sword Immortal) — a resident bottom-right widget for the DeepSeek Harness Web UI: a sword-cultivator character that reads your account balance and token spend, keeps a local ledger broken down by model, and has 10 switchable sound effects. Reminders cover low balance, a model waiting on your answer, a pending approval, and staying up too late. Ships 23 idle poses plus a 24-frame sword dance, 22 menu-icon skins, six panel tabs, a line-by-line speech-bubble editor, and black or white robes that follow the light or dark theme. Runs entirely locally and registers no agent tools.

A whale or pixel-crab pet that perches on the DSH input box and reacts to the current session (working, awaiting approval, done, error), eats the tokens each turn spends and keeps a diary.