Plugins

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

Chinese industry and technology research report skill with an offline DOCX build pipeline (build_docx.py). Enforces a 9-chapter structure with a plain-language timeline (Section 2.1), 5-dimensional technical bottleneck criteria, and Make-vs-Buy cost/compensation trade-offs, verified by check_threads.py and compiled to .docx with a 3-level auto TOC. Requires Python 3.9+ with lxml.

Read PLC projects inside DSH — decode CoDeSys .project and Delta .dvp (both need Python 3.9+ on PATH) and Siemens S7-200 SMART .smart/.smartlib into readable reports and structured data, plus project diff, address audits, element-level read/write analysis and ladder-logic reconstruction.

Lets the model turn an answer into a web page that lives right inside the chat. The show_page tool either fills one of 8 built-in templates (report, compare, checklist, dashboard, timeline, flashcards, quiz, flow), where the model writes only the content and the plugin does layout, interaction and saving, or saves a full page the model wrote itself (calculators, games, custom layouts). Hand-written pages get the same design as base styles inside a CSS @layer, so the page's own CSS still wins. The page appears under the reply at its content height, interactive and following DSH's light/dark theme. The page's localStorage is stored in DSH per page, so what users tick or type survives reopening and new versions, and the same page open in the chat and the right sidebar stays in sync. Each edit is saved as a new version you can flip back to. After saving, the page is checked in a hidden local Chrome or Edge (script errors, horizontal overflow, dark mode not applied) and problems go back to the model. The right sidebar shows the page full-size with versions, a gallery of all pages and export to PNG, PDF or HTML. Pages run in a sandboxed, separate-origin frame with a strict CSP: no access to DSH data and no fetch, XHR or WebSocket. Works on phones with dsh-mobile.

DeepSeek Harness plugin: makes a reverse-proxied (non-loopback) dsh web page count as a trusted host, so the Settings surface loads instead of reporting "settings are unavailable in this browser".

On-demand tool groups for DeepSeek Harness, with optional role-scoped tool surfaces. Role masks are off by default; Settings can enable or disable review/build/research, and add custom roles with a group allow-list. The role key comes from the host's session label, subagent marker or preset, so an orchestrator's child agents each see only their own allow-list. Also auto-groups tool families by name prefix, lets the agent classify ungrouped tools once, restores a hidden tool when it is actually called, and reports per-session visibility health.

Adds a versioned DPIA workbench to DeepSeek Harness for source-linked facts, follow-up answers, reassessment, and reviewable reports. Needs Python 3.9+ with `python-docx`, `pypdf`, and (for PDF templates) `reportlab` + `pdftoppm`.

Finishes 头歌 (EduCoder) homework over the platform JSON API, with no browser automation. educoder_sweep scans every course for homeworks that still have unfinished challenges — complete homeworks are skipped without reading a single challenge, so a full-account scan costs no model tokens — and can finish them; multiple-choice challenges also cost no model tokens, because the platform returns the answer key in any submission response, while code challenges are generated by the model, uploaded with evaluate:0 and graded once per challenge, then retried using the error report the platform returns. Three tools: educoder_sweep, educoder_homework, educoder_account.

Delivery board for client-project teams: stage pipeline (default or governance template, or custom stages), cards with owner, due date, acceptance criteria and DoD, an automatic handoff audit log when a card changes stage, a progress/risk/blocker/decision log, a weekly Markdown client report, a loopback-only drag-and-drop board and a read-only HTML export; state lives in delivery.json in the workspace (11 delivery_* tools plus a /delivery command).

Read-only goal-tree status strip above the composer: planners see the full node tree, workers see their claimed node, and worker reports call back to the planner session.

Ollama Cloud provider for DeepSeek Harness: adds the chat route on install, publishes each model's own thinking levels for the composer effort control, keeps the model list current from the endpoint (/api/tags and /api/show, cached for offline boots), reads the account allowance from /api/balance into the Models page and a sidebar row that hides itself when the endpoint reports none, and offers Ollama's web search and fetch as selectable DSH web providers.

Behavior-drift reports for DSH sessions: compares two session logs and reports tool-sequence alignment, tool mix, reasoning volume, timing, retries and file targets, with an optional CI threshold gate. Zero dependencies.

Persistent Endeavour and Challenger peer sessions for DeepSeek Harness that plan, execute sequential tasks, and verify reported results.

Records real clicks, inputs, navigation and network traffic in a user-guided browser session for DSH, then generates a Markdown timeline report (report.md + events.jsonl) to build API-level skills.

Douyin local-promotion OEM ad daily/weekly report automation (Author: Kirin): collects 3 data sources (laike leads, plan-level delivery, video analysis) via a one-time Edge login, computes metrics, builds A4-style docx reports, supports free-choice scheduled run times and email notifications.

DSH model provider for the locally authenticated AGY CLI: Gemini/Claude model discovery, independent reasoning effort, DSH-owned tools, bounded context and tool-result handling, and Windows-safe streaming. Report problems in GitHub Issues: https://github.com/darkings/dsh-agy-provider/issues.

Superself's self CLI as model-facing tools (project context, work units, reports, decisions) plus a /self command — cross-session, cross-project project state kept outside the code repo.

Self-hosted crypto portfolio dashboard: BTC, EVM (73 chains via DeBank), Solana, Dogecoin, Cardano, Hyperliquid L1, five exchanges (Binance, Bybit, Backpack, OKX, Bitget) and tokenised equities in one view, with multi-provider failover, custom asset labels, a tunable asset-health report, a shareable PNG card, per-source connection tests, multi-profile configs, scheduled refresh and zero-dependency charts (Python stdlib + vanilla JS, no CDN).

Local, verifiable delivery evidence reports for coding-agent work.

China A-share stock research: ticker search, announcements over any date range, financial report cards, valuation profiles and signal-factor explanations (~5,000 stocks since 2011, public read-only data service), plus a link-out tool to an external trading-sandbox product.

Evidence-driven company and job due-diligence for DSH: logs sources with evidence levels, adds evidence-bounded claims, verifies the legal entity against official registries, and renders a PROCEED/VERIFY/STOP report with a verification checklist and interview questions.

Turn raw data (CSV / pasted table / SQL results / DuckDB) into a structured Markdown report with business conclusions, metrics and charts.

Turns one journal paper PDF into three deliverables by default — a Chinese group-meeting literature report deck (.pptx) in the Nanyang Normal University physics template, a matching Word speaker script, and a two-colour defence-prediction Q&A HTML (ten-odd questions with short direct answers). Requires Python 3 with python-pptx, python-docx, Pillow and pymupdf (pypdf fallback); install them with pip install -r requirements.txt.

One leader, many sessions: tell the leader the goal and it splits the work into cards, runs persistent worker sessions in the background, collects their reports, and keeps the facts on a per-project board in the right sidebar, so several features move in parallel instead of one at a time. Project-level LEADER.md and SLOTS.md prompts shape every request, and `read_worker_session` replays a worker transcript read-only without waking it.