coloured-favicon
为 DeepSeek Harness (DSH) 网页提供彩色渐变流动小鲸鱼 favicon,并把页面内鲸鱼图标、deepseek 文字、hero 标题与预览版徽章等品牌元素一并彩色化的 Cordis 客户端插件(静态 dual-face bundle 形态,可经 dsh plugin add + --patch 部署;同名仓库亦保留动态插件形态)
814 results
为 DeepSeek Harness (DSH) 网页提供彩色渐变流动小鲸鱼 favicon,并把页面内鲸鱼图标、deepseek 文字、hero 标题与预览版徽章等品牌元素一并彩色化的 Cordis 客户端插件(静态 dual-face bundle 形态,可经 dsh plugin add + --patch 部署;同名仓库亦保留动态插件形态)
Tavily search provider for DSH with full search-control mapping, credential-backed key UI, and guarded rc.6 compatibility patches.
DeepSeek Harness plugin: provider account balance inside each Models settings row, queried through a loopback-pinned RPC channel with the stored API key kept on the host
Notebook Knowledge Studio — NotebookLM-like local knowledge workspace for DeepSeek Harness: Notebooks, Sources, source-grounded Chat with citations, and Studio artifacts (Mind Map / Reports / Flashcards / Quiz / Infographic / Slide Deck / Data Table), stored as OKF v0.2 markdown under the workspace.
Codex-inspired Guardian approval reviewer for DeepSeek Harness
Runtime security guard for DeepSeek Harness (DSH) — blocks command injection, SSRF, credential exfiltration, and destructive operations at runtime.
Git-backed long-term memory for DeepSeek Harness: a local .mem git repo (single main branch, immutable entries, structured commit messages) with mem_search / mem_read / mem_write / mem_delete / mem_replace tools and fully automatic legacy migration (no CLI needed; the CLI remains for explicit control), auto-managed by the root agent with zero manual steps.
CodeBuddy (Tencent IOA) as a native DeepSeek Harness llm provider: browser OAuth login, token auto-renewal, credential storage, and /v3/config model sync.
DSH plugin: session-header task estimator — estimated remaining time, token usage and per-model cost (≈CNY) with an optional LLM-powered estimate. / DSH 插件:会话标题栏任务估算窗口——预计剩余时间、token 用量与按模型花费估算(≈CNY),支持 LLM 智能估算。
Fail-closed DSH compatibility guard for redundant GPT/Codex sandbox escalation arguments
拒绝 AI 味的 UI 设计:21 主题 + 四动词(构建/audit 审计/redesign 重构/study 提取 DNA)+ 57 个 slop 测试门 + 预输出自我批评——拒绝所有 LLM 训练成的分布默认值。受 Nutlope/hallmark(25.8k★ MIT)启发。
DSH web plugin: r/DeepSeek community sentiment cockpit — DSI optimism/anger index dashboard with an auto-refresh data pipeline (Fear & Greed style).
dsh auto-vision bridge: paste an image into a text-only model's composer and a configured multimodal model transcribes it as text, automatically.
SenseVoiceSmall-powered local speech-to-text for the DSH Desktop input box: click the mic beside the composer, speak, and the recognized draft (with language/emotion tags) is written into the input.
技能画廊:在侧边栏可视化全部 skill,点击即用(通过 /name 手势直接调用 DeepSeek Harness)。
DSH plugin: expose Trae Work CN credits as a local OpenAI/Anthropic compatible API for Claude Code, Cursor, Cline and other agents. Ships a DSH web settings page (status, stats, token management, hot-reload config).
Strip sandbox_permissions / justification from model tool-call arguments so sandbox escalation is never triggered when the session already has sufficient permission.
Stavros RedTeam for DeepSeek Harness (DSH) — authorized red-team persona + scope-guarded pentest tooling (persona, 24 subagents, methodology and 78 zero-dependency guard tools).
One-click / auto model sync for DeepSeek Harness providers — reconciles stored model lists against each provider's /v1/models endpoint, with a Settings page toggle and conversation-open auto-sync.
Declare per-model reasoning efforts, image input, and openai-completions dialect on hand-declared llm-pi-ai routes. Writes the official namespace; does not intercept llm/stream or replace the Models page.
Disk-usage audit for DeepSeek Harness (dsh) data directories: total size, per-directory breakdown, largest files, and oversized-file warnings (session logs can hit hundreds of MB). Zero runtime dependencies, read-only. CLI + agent-callable disk_audit tool.
结构化数据提取:从非结构化文本中提取指定字段并输出JSON/CSV/表格
A DeepSeek Harness document parsing tool powered by LiteParse
CodeBuddy-style deferred tool loading for DeepSeek Harness: keep tool schemas out of the model context until the model loads them on demand via tool_search / defer_execute_tool.