Plugins

Rigorous open mathematics research suite: four agent skills (rigorous-open-math-research, manage-math-research-program, math-research-workflow, lean-verify) for theorem solving with adversarial audit, research program management, pipeline orchestration, and Lean 4 formalization audit; CI-verified tests and mechanical upstream sync.

WeChat Official Account content studio: anti-homogenization rotation writing, low-creativity remediation playbook, blessing-image visual baseline, gpt-image pipeline with OCR acceptance, and the measured xiaolvshu draft web API.

Agent-initiated voice calls: `offer_call` rings the human (接听/拒接/稍后再说); accepted calls synthesize and play locally via CrispASR + Qwen3-TTS (9 speakers, 2 Chinese dialects), rejected calls return the decision to the agent.

Agent-callable vision tool that describes local images via any OpenAI-compatible vision endpoint you configure, with an optional multi-model cross-check and no built-in keys.

Metaso (秘塔AI搜索) search & reader providers for the web seam: web_search returns page summaries, web_fetch reads full-page markdown, multi-scope search (webpage/document/paper/image/video/podcast).

Docker tools for agents: ps/images/logs/inspect/exec/manage/health with JSON output, env-configurable CLI path, approval-gated exec and zero runtime dependencies.

Local toolbox for the DSH web GUI: 35 pure-client tools (text, encoding, hashing, extraction, conversion, reference tables) in a sidebar view, plus the /toolbox command and config-driven agent tool exposure.

Lets sandboxed agents reach the web through your local proxy: net_fetch fetches pages, net_proxy_status reports proxy status.

Evidence-first vulnerability research workbench for DeepSeek Harness: native audit views, 29 OMV tools, Evidence.v1 findings, reproducible runs, Campaign workflows, and isolated PoC evidence.

Enhanced auto-compaction defaults for DeepSeek Harness agent presets: apply tuned threshold/retention budgets and per-model policies with one command, idempotent with backups and rollback.

Incognito sessions: a standalone ephemeral sub-agent with its own preset (no parent context) and full toolset, draggable floating window, burned to zero traces on close.

Writes live provider model lists into DSH settings and shows 5h/7d plan windows or metered balance for the current session model.

Connect a sub2api gateway to DeepSeek Harness: OpenAI-compatible multi-provider routes (OpenAI / Claude / Grok / Gemini) behind one base URL, with per-key model discovery, usage lookup, and global vision/image tools.

Wallpaper backgrounds for the DSH web GUI. Windows: reads your Wallpaper Engine (Steam) library and plays video/web wallpapers behind the chat. macOS: scans the WaifuX download folder and loose media folders automatically — anything saved in WaifuX becomes a DSH background with zero setup. Liquid-glass blur, dim and border sliders.

Adds models.dev reasoning levels to unconfigured third-party DeepSeek Harness models.

Model sampling sliders (temperature / maxTokens) in the composer: override every model request for all providers via the agent/request hook, with hot/persist modes.

DSH Web right-side output dock: session-scoped tabs for reports, images, data, video, and audio, with inline previews, output quality checks, and a searchable per-turn history.

Reverse tunnel for the DSH Web GUI: exposes a `dsh --profile web` deployment at a public frp URL and switches the directory picker to the in-app browser, so a phone or remote machine can open and manage the workspace.

Zero-touch runtime telemetry for DSH: every session auto-writes task, model tier, tools, failures, duration, status into a human-readable journal with a stats section (pure observer — no tools, no LLM calls, no injection).

Wallpaper skin for the DSH Web UI: image background with opacity, mask and blur controls.

This plugin exports a reusable function that takes a file path or a Buffer, extracts the content via @firecrawl/anydoc, and returns GitHub‑Flavored Markdown (GFM). It also includes configuration options and an example usage.

模型回合结束后用 LLM 生成 3 条批判性跟进建议，点击即发送 | After a model turn, an LLM generates 3 critical follow-up suggestions shown as click-to-send chips

用于监控当前会话额度消耗、预估费用及当前API余额/Used to monitor the current session's quota consumption, estimated costs, and current API balance.

RMB/USD token-billing plugin for DeepSeek Harness (dsh web): official-policy auto pricing with peak/off-peak hours, per-message ledger, account balance, locale-driven currency display. 人民币/美元 token 计费插件