Plugins

Investment research bundle: 10 tools (search, page fetch, source audit, claim verification, numeric rigor, channel health, workflow loader, chart engine, PDF renderer, PDF gate) and 23 skills adapted from ai-berkshire. Runs a six-phase workflow where four parallel agents (Duan Yongping, Buffett, Munger, Li Lu) research a company, cross-examine each other, and ship a chart-rich PDF with cover, tables, captions and page numbers. Requires Python 3.10+; the chart and PDF tools also need python-docx and matplotlib.

Publish size check skill: verifies a deliverable's geometric specs against a target platform before publishing - pixel dimensions, aspect ratio, dpi, file size, format, physical print width and colour mode. Geometry only: it does not review content compliance (QR codes, text-to-image ratio, copyright and prohibited content are out of scope). Pure Python standard library, no third-party packages, and inputs are never modified. Python 3.8+. Covers 10 platforms and 20 slots with per-platform confidence labels - WeChat MP, Xiaohongshu, Bilibili, Zhihu, Weibo, Douyin, WeChat Channels, journal submission, print and client delivery - and resolves a platform by id, Chinese name or alias with fuzzy matching. Two trigger modes: asked directly, or as a parasitic self-check that runs by itself once an image, poster, chart or export workflow has written a file and the user mentioned a publishing target, reporting in one line when everything passes and only expanding when something is wrong. For journal submission and print it judges by physical width (pixels / dpi), which catches files whose dpi metadata passes but whose actual printed size is too small; for multi-image posts it checks whether the whole set is consistent and names the odd one out rather than listing every file.

Adds a download_file tool that fetches a URL over 16 aria2c connections and falls back to a single stream when aria2 is unavailable. Needs aria2c installed separately; the aria2 channel does not verify TLS certificates.

Release gate for AI answer quality. Two channels: replay an existing VeriScope archive through the original Python quality gate, or run a threshold gate over a Ragas per-row export with Node only — no VeriScope, Python or pandas. Returns PASS, FAIL or REVIEW with source evidence and a re-checkable receipt; supports per-row thresholds and exact decimal comparison. It never re-evaluates and never calls a model, and REVIEW never becomes PASS.

Tiers free-channel models into three 1M fallback chains plus a custom chain; orders them by measured throughput, drops models below throughput or error-rate thresholds, and rotates accounts. Requires an OpenAI-compatible gateway (default :8326).

Publishes the desktop shell's file-path bridge as the host-path seam the composer reads, so files and folders dropped into the composer become @path references instead of uploaded copies (images still upload through the native image channel).

A floating panel that lights up which HowNet semantic primitives the current answer touches, as a brain-shaped node graph, EEG-style channel traces and a composition card.

Persistent WeChat bridge for DSH: one WeChat user maps to one persistent agent session via the official iLink channel, with context and the user-to-session registry surviving restarts. There is no sender allowlist — anyone who can message the paired WeChat account can start a conversation with a session that has tool access, and the working directory defaults to the home directory; use a dedicated account and set WECHAT_PERSISTENT_CWD.

A resident assistant for DeepSeek Harness that is deliberately not another chat box: one floating window plus one standing conversation, both independent of every other session. The heartbeat is held back by four gates — an authority grant, a daily turn budget, quiet hours and a pacing cooldown — and it keeps working across restarts through a lease it has to hold. Each wake is decided by a model that must answer SKIP or a short message, so silence is a decision rather than a failure. The window shows the standing conversation's real message flow, read from the host session store, or from the on-disk session log when the host does not publish that session, and it can send into that conversation directly. den carries the same reach as the person it stands in for, with one limit: read-only. It may read every session, this machine and work channels such as GitHub, but it does not write, send or publish, it never asks anyone for permission, and it never gates another session's tool calls. `npm run digest:github` turns GitHub notifications and your own open pull requests into three Chinese sections — waiting on you, waiting on your review, and yours — with reply drafts that are explicitly marked as unsent.

Pixel-level screenshot diff for visual regression. Two local PNGs in; a machine-readable first line (`PIXEL_CHANGED=true|false`, greppable as an assertion), then the difference ratio, per-region bounding boxes, maximum channel delta and mean absolute error, plus a self-contained HTML comparison page. An ignore-region list with absolute or fractional coordinates excludes clocks, cursors and other per-render noise. It deliberately does no content recognition: it answers only "did this change", which is the part that can be made deterministic. Entirely local — no model call, no network, no upload.

Token usage meter in the DSH sidebar footer that runs both data sources at once rather than picking one: the DeepSeek platform account's usage and cost endpoints, which cover every device on the account but only the official channel, and local session logs, which cover this machine in real time across every provider but carry no cost. The two are merged per day — the official channel takes the larger figure, since one call is recorded by both, and providers the platform cannot see are added on top. History is backfilled month by month from the platform, providers are classified by channel rather than model name, days follow the platform's UTC boundary, and no token has to be pasted because the platform figures reuse the DSH account you are already signed in to. Totals appear as all-time, current-project, today, week, month, last-7 and last-30 in a compact bar, an expand panel and a detail modal with calendar, chart, model, provider, year, month and day tabs.

Re-encodes WebP attachment images to PNG so alpha-channel images load on LLM backends that cannot decode WebP (e.g. llama.cpp).

Pushes DSH session events to phone IM and lets you reply straight under that message, injecting the text back into the right session. Covers nine event kinds: task completion, execution error, execution blocked, manual abort, token limit reached, abnormal interruption, waiting for your answer, permission request, and waiting for plan confirmation. Channels are QQ single-chat bots and Feishu custom apps, both over WebSocket long connections — no public IP, domain or tunneling needed. Several bots can be configured at once, each subscribing to the sessions it cares about. Approvals and questions arrive with tappable buttons, and replies route home through three layers (button, quoted reply, explicit short-id prefix), falling back to the most recent intervention-needed notification and echoing which session it went to.

Bridges DeepSeek Harness sessions to Feishu/Lark, Telegram and DingTalk: each chat is bound to a resumable DSH session, replies stream back as cards, and a task-end card reports the model, token usage, step count and duration. Question and permission-approval cards are answerable from the chat, and a web settings pane configures the per-channel credentials.

Replaces the composer model seat with a search-first picker and adds a model management page: create and edit llm-pi-ai channels, choose which of an endpoint's models exist, and declare per-model thinking ladders and capabilities.

Channel gateway for DeepSeek Harness: normalize provider traffic into one message contract, announce inbound messages as one typed event, authorize at the transport boundary.

Delegates self-contained coding subtasks to the local Claude Code subscription through the official Agent SDK and returns the result to the host session. Nineteen per-call parameters control model, thinking effort, permission mode, allowed tools, turn count and budget cap; background jobs return a jobId immediately and stream incremental output; the result carries a session handle that can be passed back as resume to continue the same conversation; commands expected to run past ~20 seconds go through the built-in mcp__dsh__shell channel, which streams output line by line without consuming model context; a Claude Code monitor panel in the session lists jobs, renders the structured process, shows live output blocks and cancels a run; the delegation procedure ships as a runtime-registered skill, so installing the plugin installs the skill.

Channel gateway for DeepSeek Harness: normalize provider traffic into one message contract, announce inbound messages as one typed event, authorize at the transport boundary.

WeChat channel plugin for DeepSeek Harness, over Tencent's iLink Bot API

Routes eight DSH lifecycle events through dedup, quiet hours and digest batching into seven channels. Severity maps to the fields Bark, ntfy, Telegram and webhooks actually support; failed deliveries retry with jittered backoff and survive a restart; per-channel circuit breakers stop hammering a dead endpoint; and a self-check reports a degraded relay instead of going silent.

Ops request channel for a team over Feishu DMs — a colleague's message waits in a serial queue behind an approval card that the paired admin must accept, then runs in one shared DSH session with a persona attached, and the answer is posted back to the requester.

Adds a Check for Updates row in Settings and a right-sidebar card that update the DSH CLI and every profile plugin, with npm channel selection (auto/stable/next/alpha), minimum release age, backups, one-click rollback and a test reminder for the badge and browser notification.

Sync your DeepSeek Harness (DSH) configuration between machines over a private git or WebDAV channel: settings, plugins, MCP servers, skills, agent presets, workspaces and provider credentials. DSH 配置远程同步插件（私有通道，明文自用）。