플러그인

Fetches random cat facts and images from public APIs for AI agents.

DeepSeek Harness용 TypeSafe Jev(System One 의사결정 모델) 엔드투엔드 통합: jev_decision(choice/score/noul, 병렬, 타입 지정 답변 + 신뢰도), API 키와 스위치를 위한 Settings > Plugins 카드, 대화의 모든 결정(답변, 신뢰도, 지연 시간, 비용)을 보여주는 인라인 도구 뷰, 자동 가드(결정적 + Jev 위험/루프 점검), 로컬 /jev 대시보드, 온라인 검증 벤치마크(라벨링된 27개 질문에서 96.3%, jev-latest에서 중앙값 약 283ms, 2026-09-21). 설계상 정직함: 실제 API만 사용하며 mock 폴백이 없습니다.

Searches wallhaven.cc from a settings page and sets any wallpaper as the DSH web GUI background, with opacity, blur and scrim controls, a sidebar shuffle button and one-click original download; all fetching runs in the host process, so the browser never needs to reach wallhaven.

DSH web plugin: multi-vendor web_search / web_fetch providers for the ctx.web seam (Tavily, Firecrawl, extensible) — works with any LLM provider.

Optional Obscura headless-browser tools from WSL (obscura_status / obscura_fetch / obscura_mcp_hint). Not the same as dsh-wsl-browser win_open_url (Windows GUI browser), and not a replacement for dsh-wsl-fetch web_fetch.

Registers a wsl-proxy ctx.web fetch provider so official web_fetch uses undici ProxyAgent through HTTP(S)_PROXY instead of connecting from WSL to a DNS-pinned public IP (the official path that produces TypeError: fetch failed behind a Windows proxy).

Knowledge base with a corrective acquisition loop for DeepSeek Harness: when the agent keeps hitting the same failure, a background worker fetches the web under a rate limit, distills the result into a staging area, and only a two-stage commit makes it recallable — pages without sources are refused.

Kimi Coding web search and web fetch providers for the DeepSeek Harness — one coding-plan key fills both ctx.web seams (POST /v1/search and /v1/fetch), a settings card in the GUI stores it via the credentials service, and the fallback chain reads the Kimi CLI config for zero-setup installs.

Route every host-process undici fetch through a local HTTP(S) proxy while keeping localhost and China-reachable APIs direct.

Image generation workbench and agent tool for DSH: one tool (ark9_generate_image) paints text-to-image and image-to-image via any OpenAI-compatible API. Channels are entirely user-configured - no bundled endpoint, you bring your own baseURL, key and model name (manual input supported). Agent-initiated generations are approval-gated by default: requests queue in the floating panel and nothing bills until you approve; approval is non-blocking (the agent replies "awaiting your approval" immediately, and results, denials or timeouts are injected back so the agent reports them in the next turn). Floating glass workbench with five tabs (Generate / Approvals / Prompts / History / About), aspect-ratio grid with quality-budget + 16px-alignment sizing, transparent background, batch up to 10 images as aggregated sub-tasks, prompt library with custom JSON sources fetched through a host proxy, persistent generation logs with one-click retry, multi-channel aggregation with per-channel model fetching, bilingual UI (zh/en), stroke-SVG icon set, config import/export. Registers as a Better Sidebar tab when dsh-better-sidebar is installed; stacks above the dsh-cua FAB when both are present.

Composer code-quote collapse for the DSH Web UI: pasting a `path:line` header followed by code folds the input into one compact inline quote chip, and at send time the `agent/pre-step` hook injects the full pasted snapshot to the model as a separate context message. 0.5.x also folds sidebar file-selections that insert only a `path:lines` line (large selections), fetching the code from disk by session cwd, and preempts Ctrl+V paste interception.

Raises Node's HTTP headers/body timeouts for the whole DSH process (default 30 min, proxy-aware) so Ollama and LM Studio models that stay silent while thinking or generating a large tool call are not cut off at 5 minutes; replaces the node_modules undici patch.

Codex 스타일 Git 워크벤치: 워크스페이스 범위의 변경 사항, diff, stage, commit, 보호된 브랜치 작업, 그래프 히스토리, fetch, fast-forward pull 및 공식 플러그인 API를 통한 업스트림 push.

DSH 웹 UI용 오른쪽 아래 余额 배지: 펼치면 현재 선택된 제공자의 OpenCode Go 플랜 한도 또는 DeepSeek 선불 잔액을 가져오고, 로컬 토큰 사용량과 가격 기반 지출 추정치를 함께 보여 줍니다.

DSH 설정 페이지에 "用量" 섹션을 추가해 MiniMax Token Plan 사용량(5시간 및 주간 창과 초기화 카운트다운), 모델별 내역, 동영상 보너스 크레딧을 보여 줍니다. API 키를 보유한 신뢰 플러그인을 통해 `/v1/token_plan/remains`를 가져오며, 키가 설정되지 않으면 자동으로 숨겨집니다. MIT.

DeepSeek Harness(ctx.web)용 fastCRW 기반 웹 검색 및 fetch 프로바이더

Outbound route pool for DeepSeek Harness. Ships 15 seed routes plus a 20-entry candidate pool covering 7 target kinds (GitHub raw/codeload/main, npm registry, PyPI index, HuggingFace, general). Routes are verified before use: upstream IP lists go through a TLS handshake with full certificate-chain validation (a bare TCP check can be answered locally and report dead IPs as healthy), and failures advance a cooldown ladder of 2/5/15 minutes with the fastest healthy route picked per target kind. Routes are applied by rewriting the URL with one of four rules (prefix, registry, index, host-replace), reaching git, pip, npm, pnpm, gh, curl and wget through three paths: the shell seam (download commands the model runs through the bash tool are intercepted and rewritten automatically; commands wrapped by the pwsh tool, and fetches made by the host itself or the renderer, are not covered), two registered tools the model can call directly (line_pool_status, line_pool_run), and child-process spawn. Multi-line commands keep their line breaks and only the download segment is touched. URLs carrying credentials (user:token@host) are never rewritten, so tokens are not forwarded to third-party mirrors. No global config is modified. A sidebar panel lists every route with latency, failure reason and cooldown countdown, supports per-route retest and enable/disable, and shows live TUN/proxy status from network-adapter and loopback port checks. The candidate pool is re-verified every 24 hours so newly usable routes are added and dead ones dropped. 570 tests, 87% line coverage.

A small dock in the DSH Web UI: restart the host or reload the page in one click. Restart asks first (now / 30s / 60s / 2min / cancel); the dock drags to any edge only after a 320ms hold, and stays anchored when the window resizes. Refresh refuses to run unless the plugin bundle is verifiably loadable (timestamp baseline + real bundle fetch + syntax compile), so a reload can never brick the app. Restart is Windows-only (PowerShell 5.1); the UI and page refresh work on all platforms.

Daily AI digest by email: fetches ten sources (OpenAI, Anthropic, Google DeepMind, Hugging Face, arXiv, Hacker News and others), clusters near-duplicate stories, scores them in code and with an LLM, then emails the top three on a daily schedule with a four-part reading (facts, why it matters, impact, open questions). Adds four conversation tools and a sidebar panel for previewing the digest, sending it now and changing the schedule.

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.

Skill-creation console for the Web UI: fetches the official creator skills, hands the requirements to the Huawei Cloud, generic, or REST API creator, then scores the generated skill against a 10-point rubric and returns the itemised deductions to the creator until it reaches 8.5/10.

Decodo Web Data API as the fetch provider behind the built-in web_fetch tool: returns Markdown by default, pins fetchProvider to decodo, and enforces a configurable per-process fetch cap. Requires a Decodo API key; web_search is unchanged.

Exposes a stdio MCP server as native DeepSeek Harness tools. Ships with the official Microsoft Playwright MCP preset, so the agent browses through the Edge or Chrome you already have open, with your logins intact; any other stdio MCP command can be configured instead. Host-only, no client bundle, no npm dependencies. To drive your own browser, start Edge/Chrome with remote debugging and allow npx to fetch @playwright/mcp.