Plugins

Ships a skill that documents how to build, debug and publish DSH plugins - host and client package skeleton, developing a forked plugin inside a throwaway profile, publishing to GitHub and npm, and the pitfalls found while shipping them. Installing the plugin registers the skill.

dsh 插件：本地蒸馏器——扫描全部历史会话，挖出「用户纠错 → agent 改对」片段，脱敏后蒸馏成微调数据对（JSONL）、技能草稿与 AGENTS.md 规则补丁，带人工审核队列

Generate and format Chinese Word (.docx) documents from a simple markup file, using built-in heading styles, SimSun and Times New Roman fonts, and per-chapter figure and table captions.

Merged, version-locked plugin upgrade skill for DeepSeek Harness (0.1.3-alpha.1 to 0.1.5-rc.1 as two closed legs): an evidence-bound version card plus a zero-dependency 20-seam scanner, shipped as a bundle skill and an npx CLI.

Three tools for DeepSeek Harness: typeset LaTeX formulas into images, draw mathematical figures from a declarative spec, and convert a formula or SVG into an image ready to embed in a document.

dsh (DeepSeek Harness) plugins for project-level persistent context: session archive with a mechanical index, memory consolidation (CONTEXT.md + MEMORY.md), low-frequency skill autolearn, and automatic handoff.

A DSH plugin that turns a completed conversation into a reusable, validated DSH Skill bundle.

Runtime observability and plugin operations panel for DeepSeek Harness: shows the profile plugin tree, real Loader fiber state, capabilities/dependencies/compatibility, current-session plugin activity and upstream source/version checks, with one-click enable/disable/update/uninstall plus a standalone startup-failure diagnostics page that works while DSH is not running.

A DeepSeek Harness bundle of 14 obra/superpowers engineering skills with a native agent preset, automatic session bootstrap, and Windows sandbox compatibility.

Resume screening plugin for HR in DeepSeek Harness: ingest up to 100k Word/PDF/Excel resumes into one searchable library with skills / coarse categories / ingest time, auto-ingest & de-dupe new resumes, then screen by plain-language criteria — rule pre-filter in the database plus LLM fine-judge on the shortlisted few, CSV export.

Polaris Memory: local-first project memory plugin for DeepSeek Harness. Uses per-project .dsh-memory.json; provides memory_read/recall/write/update/delete tools, /memory command and settings UI, with tiered injection (resident user profile + scene-triggered memories with P1/P2/P3 importance), semantic recall (IDF + synonym layer), and a hard-guard mechanism for bottom-line memories (detect deny-semantics -> authorize -> block AI deletion; user can confirm-override).

Skill dossier + work report for DSH: browse, search and archive each skill (direction, scope, boundaries, scenarios), review or delete it, and roll daily briefs into daily, weekly and monthly reports.

会话注入门控：给 DeepSeek Harness (dsh) 加一个会话级上下文裁剪闸门，按会话取消/恢复插件贡献的 skill、tool、系统提示词段落——3 条影子通道、5 条本地路由、零依赖零配置。Per-session injection gate for DeepSeek Harness (dsh): trim skills, tools and prompt sections per session. Zero-config, zero dependencies.

Skill recommender for DeepSeek Harness: browse local Codex/Claude/DSH session records, derive a user profile, and recommend suitable open-source skills with a tunable weighted match index (higher index = higher-relevance only). Tools + Web settings panel.

WPS / 金山文档 cloud-docs integration for DeepSeek Harness: official SkillHub MCP (https://mcp-center.wps.cn/skill_hub/mcp), custom browser authorization (auth-guide + exchange-poll token), WPS cloud-doc tools under mcp__wps__*, wps_status/wps_oauth_start/wps

Explicit minimal-solution coding guidance for DeepSeek Harness. Registers six load-on-request Ponytail skills and a localized Settings page.

受控自进化 AI Agent 框架：CQRS 读写分离、子代理自主进化、人类锁定根分类的 Agent 错误自愈路由表（DSH 插件生态 bundle 包）

DeepSeek Harness dashboard: per-session statistics (tokens, timing, tool and skill calls) as a dedicated Statistics view tab. Compatible with dsh v0.1.2-alpha.1 ~ rc.1 (see README).

Decides whether Python code is original or a derivative work: reports the longest identical expression span against an upstream tree, an exemption rationale per finding, and a risk list. Pure stdlib `ast` analysis — offline, no model calls.

PowerContext for DeepSeek Harness: WorkBuddy-style project memory and inspectable handoff workflows - bounded context recall before each model step, 19 pc_* tools for memory, handoff, experience and skills, with a Windows server watchdog for resident operation.

NPM-installable DSH Web plugin for safely loading and managing skills across DSH and common local Agents.

Capture selected DSH, local MCP, or native WebMCP calls as reviewed, parameterized routines, expose typed tools, and replay with fresh approval.

OMC-style multi-agent orchestration for DeepSeek Harness: 29 omd-* skills and 12 /omd-* slash commands over the plan-execute-review-verify pipeline and team/autopilot/ralph modes.

Auto-injects user-chosen skills into every DSH session, per prompt or once at session start, with a settings page, a composer indicator, and log-deduplicated session-start stamps; verified against DSH 0.1.3 source.