Plugins

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Image and video production toolkit for DeepSeek Harness - background removal with quality tiers, local inpainting retouch, headline and logo compositing, batch platform-size exports and image QA reports; for video, AI subject matting with background replacement (RVM ONNX, plus a chroma-key path), animated titles with fade/slide/typewriter/karaoke presets, 53 transitions with stylized variants, and light-effect and grading presets with LUT support, alongside footage inventory, accurate cutting, subtitle burn-in, music mixing and platform-spec exports; it provisions its own local Python runtime through a bundled bootstrap script.

Takes the user's own .pptx template plus a course outline (lesson plan / document / plain text) and produces a courseware .pptx that adopts the template's background, color scheme, fonts, and page skeleton. Pure plugin package, no built-in API keys; the image backend must be configured by the user.

Project-based learning coach: a subject-agnostic teaching engine plus swappable domain packs (Unity/C# included), shipped both as a DSH skill and as an installable bundle. The skill protocol enforces attempt-first teaching and graded hints; a zero-dependency validator rejects ability claims their evidence does not support and blocks stage acceptance while blockers are open.

Bundles the 14 obra/superpowers skills for dsh from a recorded upstream tag (v6.3.0), re-syncable with drift reporting; the skills trigger automatically.

Ships a skill that documents how to build, debug and publish DSH plugins - host and client package skeleton, developing a forked plugin inside a throwaway profile, publishing to GitHub and npm, and the pitfalls found while shipping them. Installing the plugin registers the skill.

Makes the AI default to Mermaid diagrams in development conversations — system prompt guidance, a mermaid_validate syntax-check tool with real-parser validation, and an output gate that auto-fixes or removes broken diagrams. Rendering via dsh-mermaid.

Digests the images in a prompt with a vision model before admission, so any model — a text-only one included — can read them without the session ever switching models, and adds a describe_image tool for image paths.

Trims historical images in outgoing chat requests down to a recent-image count, learns the provider per-prompt image cap from HTTP 400 responses, and retries with fewer images so image-heavy sessions keep working.

Embeds external AI chat sites in a DSH side panel through the same-origin reverse proxy with per-site DOM adapters, and adds a composer button that either rewrites the draft with the host model or runs a two-round loop: compress the conversation, optimize, send to the embedded site, capture the reply, then finalize it into the composer.

Tavily search and page fetch: tavily_search queries with a rotating pool of up to eight API keys that backs off per key on 401/403/429 so one exhausted account does not take the tool down, and web_fetch retrieves a single page through curl, returning its HTTP status with de-tagged text.

AnySearch-backed search tools for agents: general and vertical-domain search, parallel batch queries, vertical-domain capability discovery, and page-to-Markdown extraction, plus an API key panel in Settings. It registers its own tools instead of a web_search provider, so it cannot be installed alongside @anysearch/anysearch-dsh.

Ten live-data tools over eight keyless public APIs: FX rates, weather, npm/PyPI versions, GitHub repo stats, Bilibili video stats, A-share/index/gold quotes, and IP geolocation. Tool defaults are configurable in settings.

Ships the Zhouli-mode agent preset, which runs a session in three phases (declaring roles on opening, citing authorities while working, a six-item self-audit at the close), plus one tool with seven actions over a bundled 49,384-character 《周礼》 corpus that returns every passage with a stable 篇序.职官序 coordinate, a per-office establishment index and collation between two Kanripo witnesses.

Unit conversion as a `convert` tool: 10 categories (length, area, volume, time, angle, speed, temperature, pressure, energy/heat, power) and 82 units with English and Chinese aliases, plus a locale-aware Unit Converter tab in the DSH web view with one module per category and a temperature-difference (Δ) switch.

Give the agent a priority-ranked, coverage-honest map of any codebase before it edits.

Session-row unread mark for DeepSeek Harness: the session menu gains Mark unread and Unmark, pinning a red dot before the session title that survives reload and opening until cleared, both entries disabled while the built-in green finished-unopened dot is present.

Makes Enter insert a newline in the DSH 0.1.5 Web composer while Cmd/Ctrl+Enter keeps submitting messages.

Model channel manager: several provider/model candidates share one virtual route (roundrobin/<group>) with failover, retry, timeout and cooldown; a settings tab edits providers and groups, runs per-model speed tests and real single-model request tests, and a seven-day health panel aggregates latency, failures and upstream token usage (input, output, cache and reasoning).

Capy-style ambient background for DSH with wallpaper, bottom black gradient, and composer aura.

An ink-wash theme for DeepSeek Harness inspired by Luzhou Moon, a guofeng song by the Chinese singer Vae. Built on dsh-theme-customizer, it repaints the app background, sidebar, composer, new-session button, settings panel, Cordis panel and floating panel with generated ink-landscape artwork, adds gold filigree frames and a full-screen rain effect, and rotates vertical lyrics drawn from 24 of his Chinese-style songs.

Per-wallpaper offset for dsh-dream-skin - nudge the current wallpaper along X and Y in pixels from Settings, remembered separately for each image, URL or gradient.

Peak and off-peak billing season in the composer statistics row, right after the cache-hit reading, with a coloured dot, a countdown to the next switch, and a panel that shows the account balance split into total, granted and topped up in the currency the API reports.

DeepSeek Harness plugin for querying LLM service provider usage: reads DeepSeek and Moonshot balances plus Kimi For Coding and OpenCode Go quota windows on the host and shows them in an always-visible card with three view modes, edge docking and a collapsed letter bubble.