Plugins

Read-only Skill inspector for DeepSeek Harness. It shows which Skills a conversation actually loaded — from observed loading evidence only — and which Skills the current environment can discover, and gives each Skill a detail page whose left column switches between the framework, the evidence, validation, evaluation, step evidence, run logic, the before/after of a modification when there is one, the definition facts and the raw SKILL.md. Declaration and run stay apart: the body is split into structure, declared workflow and progressive disclosure, the run logic is read from local receipts, and every declared step carries its own evidence — no observed evidence is reported as exactly that, not as executed or not executed, and the run's instruction hash sits beside the current definition as match, mismatch or unavailable. The evidence view gives each subject one of three states (declared, observed, unavailable), walks definition → load → use → outcome, names what each stage cannot reach, declines to attribute an outcome to the Skill, and can copy the snapshot out as byte-stable JSON. Validation checks the Agent Skills open standard and the platform profiles separately, each finding on a rule id and labelled standard compliance or platform compatibility. Evaluation keeps repeatable cases with the conditions each run was recorded under and the four stages of runtime evidence, comparing two runs of one case item by item without scoring them. The trigger boundary keeps should-trigger and should-not-trigger prompts, has you run them in a real new session, then records what was observed — whether a load record appeared and whether it was model-invoked or user-explicit; a typed /name is not a natural trigger, and an absent load record is reported as not observed, not as not triggered. The same projections are exposed to the agent as a read-only skill_review tool, which returns a structured review packet and says what it omitted when the packet will not fit whole. The inspector, the evidence chain and these reviews are computed on this machine from the definition and the session receipts; the Chinese reading version sends the body through the host's model when you ask for it, keeping code fences, paths and frontmatter verbatim and storing the result on this machine. A Skill can also be cloned into a local copy. It does not write back to the source Skill and does not run its scripts.

DeepSeek Harness plugin for model smart configuration & capability adaptation, ported from ZCode

Region & sticker image skin for the DSH (DeepSeek Harness) web UI - paint the window, center, sidebar, welcome, right panel and composer with your own images, GIFs or videos, add two draggable stickers, and let the interface take its colour from your wall

Side-by-side model comparison for the DeepSeek Harness Web UI: send one prompt to 2–4 models in sibling sessions forked from the current one, watch the answers stream in columns (tabs on phones) with latency, time to first token, tokens, and cost, then co

Keeps a project's documentation in step with its decisions on DeepSeek Harness: the same append-only decision log and derived design snapshot, kept fresh in-process instead of by a hook process.

Lets the model trigger compaction itself at a safe point via a compact_now tool (works mid-turn), plus a context_status tool reporting real token usage against the session's actual context window.

Readable transcript export for DeepSeek Harness: turn any Session into a Markdown / HTML / ZIP transcript with reasoning blocks, tool calls and results, images and usage — from the Session header or the /export-md command.

Adds a diagram button under every finished reply in the DSH Web UI: the configured model writes a single-file HTML page with inline SVG and the right sidebar renders it in a sandboxed iframe, with diagram, source and original-text views, a per-session replay history that is served from a disk cache instead of calling the model again, redraw, and save to a .html file.

Personal dsh preferences: a tunable companion to the official compaction engine (threshold, retention, summarization model/reasoning, turn-end compaction), llama.cpp model import for the Models page, and tab/notification helpers (status-light favicon, bro

Turn a dsh session into a shareable, redacted idea and deliver it to DeepHub friends. Built on DeepSeek Harness.

Cut LLM costs: a Jev (System One) classifier vets each turn against a declarative policy and recommends the subagent model route, so routine work runs at flash rates while the main model keeps the hard parts; explicit /route trigger, runtime delegation-capability gate, credential redaction, and offline policy replay over the verdict log.

Use ChatGPT Codex, Claude, Grok, Antigravity, Kimi, GLM, Cursor, Kiro, Copilot, Qwen, ERNIE, Spark, JetBrains, Perplexity, Replit, and Cody accounts as DeepSeek Harness LLM providers via OAuth.

Put your PC's DeepSeek Harness in your pocket: dials a relay over WSS so the native iOS client reaches this machine even without a public IP.

Read-only side branch in the right sidebar: quote text to ask follow-ups without polluting the model context of the main session; every follow-up rebuilds the branch from the latest settled turns of the main session, and writes are refused at the tool-execution layer so the prompt prefix stays cacheable.

Page beautification for DeepSeek Harness: download open-source CJK webfonts on demand and let the Web GUI pick its body font

Multi-workspace manager: bind a docs anchor plus ordered code-project repositories into one session, injecting their absolute paths, a recursive file index, a server/client endpoint index and optional coding standards, and syncing writable directories into the sandbox.

Starts your dsh web and other servers at boot, sets up and manages services like Gitea and Jellyfin just by asking, and puts them all under one home-hosted panel.

Ranks workspaces holding a session that wants attention to the top of the sidebar session list - waiting on you first, then running, then finished-but-unopened, then just read - and draws those rows with a state bar, tinted surface and coloured title, plus a one-shot settle pulse when a run stops. Every colour is taken from the active theme's own tokens, and the three windows that decide how long a finished session stays promoted are settings.

A live crypto ticker card in the DeepSeek Harness sidebar footer, above the balance and Settings, showing BTC, ETH, SOL and JUP prices, 24-hour change and 24-point sparklines, with a pulse on each price tick, zero dependencies and no API key.

Fireworks celebration engine: floats fireworks above the chat window while the agent codes — welcome show, per-turn salutes, tool sparks, milestone celebrations, a finish finale and a dud on failure; each event type has its own fireworks card group with random variants, and token usage decides firework size, height and splendour.

Execution flow chart: renders the current session's execution as a vertical node flow (turns, user, assistant, tools, approvals, retries, compaction), appended in real time over SSE with auto-follow scrolling — the chart draws wherever the session executes.

Tell your deepseek-v4.1-flash: "shut up! Stop looping!"

Remotely control DeepSeek Harness sessions and workspaces from QQ (official Bot API v2, direct chat only): list and switch workspaces, create sessions, compact history, switch models, with streaming, markdown and approval forwarding. Access is not gated per user — anyone who can message the bot controls these sessions, using your model quota and file permissions.

Remote DSH access that needs no hosting of your own — the Feishu DM chat is the interface over the bot's outbound long connection, with cards for workspace, session (switch and rename), model, reasoning effort, permission preset and balance, and tool approvals and agent questions answered in that same chat.