16 results
DSH statistics tool: describe/percentile/frequency/correlation over explicit finite numeric arrays, zero-dependency, deterministic, numerically stable (Neumaier sum + Welford variance + linear-interpolation percentiles + Spearman midrank)
Auditable serial console for DeepSeek Harness with shared user and AI access
一会话，一扇门，一界命数。诸天万界DSH：DeepSeek Harness 上的文字修罗场。十九扇门点封面启程，不助手不提纲只写正文；誊出来的，是你活过的天书。
Advanced settings management plugin for DeepSeek Harness: form-level and file-level configuration editing with an open plugin registration SDK
Windows MCP Hub for DeepSeek Harness: scan MCP servers configured in Claude Code / Codex / CodeBuddy, probe real connectivity via stdio & streamable-http initialize handshakes, enable/disable from a /mcp popup panel or the settings page.
Custom reusable Subagent Definitions with a Settings page and one delegate_agent tool for DeepSeek Harness
A macOS Keychain-backed CredentialProvider for agent harnesses, initially compatible with DeepSeek Harness.
DSH 大会话性能插件：零拷贝 fork + fast initFor + 投影分片预热 + fork 缓存回填 + 分片 materialize + 冷会话 LRU 裁剪 + heap 检测（DeepSeek Harness / DSH）
项目文档体系初始化 skill（DeepSeek Harness 插件包 / Reasonix 技能）：提问驱动落实文档规范 + 固化 AI 协作工作流，以「存量完善」为核心场景，跨平台可用（DSH / Reasonix / Claude Code / Codex）。
DSH plugin: infinite exponential retries on LLM requests, capped at 10 minutes per wait
A DeepSeek Harness (DSH) static market plugin that adds an 'MCP 服务' management page in Settings: list / add / edit / delete the MCP servers registered in cordis.patch.yml, and run a real MCP initialize connection handshake per server to verify each service connects normally.
DSH plugin: /init slash command that generates an AGENTS.md guide for the current project with a two-stage model call
DSH (DeepSeek Harness) scaffold plugin & preset: strict 5-phase init runbook, engineering standards, and six runnable starter templates (node-ts / react-vite / python / go / spring-boot / monorepo). 项目初始化脚手架预设：严格流程 + 工程规范 + 六套模板。
首字母缩写
DSH plugin: adapts DashScope/闂傚倸鍟锟犲闯闁垮顩查柟瀵稿У椤忋儵鏌?DeepSeek endpoints that lack native tool calling by converting tool definitions to prompt text and parsing model responses for tool calls.
DSH 插件「想法落地」（DSH-Project-Initialization）：原子化 73 skill（6 主 + verify 调度 + 66 原子子，无场景预设按上下文加载），确认绑定/操作分级/扮演假设规则体系，覆盖需求确立、技术选型、维护与发布、清除整理、反馈闭环，让 AI 创建产品每一步对齐用户想法。