Plugins

Vision for text-only models: paste an image and the model switches to a Vision Toolkit variant for image Q&A, multi-image comparison, long-screenshot OCR, screenshot-to-UI reproduction, element grounding, and pixel diff. No API key by default — images are processed by the author-hosted free service, 100 per machine per day; configurable to your own provider.

HarmonyOS NEXT skill bundle for DeepSeek Harness with offline API references and DevEco, HDC, and emulator automation guidance.

Complete reverse-skill pack (85 SKILL.md) as a DeepSeek Harness Cordis plugin: reverse engineering, authorized pentesting and security-research skill router.

Red-team engagement mode: send one target organization name and a planner session runs a five-role execution team (recon, asset triage, vulnerability discovery, exploitation, internal pivot) at up to three concurrent agents, preflight-checking skills and resources and asking once for any missing key or VPS first, guided by a built-in first-run onboarding skill; scoring follows the merged intrusion scoring rules (8 categories / 25 points) with server-side caps, highest-privilege-wins and per-service dedup, and self-registered accounts never score; findings land in a local SQLite fact base with discovery timestamps, shown in a persistent right-side console of 12 tabs (asset mapping with a discovery timeline, agent roster, session/tunnel state, five-stage attack chain, scoring targets, a report that spells out how each score was obtained — actions, exact commands, credential provenance, tunnel build commands — a category-organised POC/EXP knowledge base and a skill library with per-skill usability verdicts); ships 23 native skills, 53 redteam_* tools and one-command self-update.

Quantitative R&D toolkit for DeepSeek Harness — 59 tools across six domains covering market data, indicators, factor evaluation, walk-forward ML validation, risk (VaR/CVaR/drawdown/Beta with Kupiec POF), options, bonds, FICC and fund simulation, with an end-to-end PDAT→PET research pipeline.

QA pipeline as 10 agent skills: requirement analysis, test strategy, case writing and review, E2E (Playwright) and API automation, exploratory, regression scope and bug analysis, backed by a shared knowledge base with format rules, risk model and schema validators.

PTES-based penetration testing plugin with Root-Orchestrator architecture for DeepSeek Harness.

OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.

Evaluation harness for DSH plugins: YAML cases drive real headless agent runs, assert on tool calls, args, results and token usage, with a baseline gate for CI regression.

DeepSeek Harness (dsh) plugin for stock analysis, screening, and strategy backtesting across A/HK/US/JP/KR/TW markets

Runs isolated install-and-smoke test drives for DSH plugins in throwaway profiles, returning structured pass/fail records and batch matrices without touching your real profile.

Make any project AI-agent-ready in one command. Adaptive tech stack detection (7 languages × 14 frameworks × 61 components), auto-generates AGENTS.md, docs skeleton, CI/CD, and testing infrastructure. 一句话让任何项目具备 AI 开发能力。

One repository that installs as both a Claude Code plugin and a DSH plugin: six engineering skills (research, architecture scouting, implementation orchestration, three-axis diff review, complexity audit, mutation testing) plus one agentforge tool dispatching five subagents.

Registers the MathWorks MATLAB/Simulink MCP server into a dsh profile, so agent sessions get mcp__matlab__* tools for running MATLAB code and reading, editing and testing Simulink models.

Let your AI agent see and operate a real Android phone: phone_look (vision + UI-tree fusion), tap/swipe/type, screenshot — over adb, for any MCP client.

Tested-curation lab for DSH plugins: every entry passes real install/static-scan gates in an isolated environment, with full logs and reproduction commands (Chinese-first).

Behavior-drift reports for DSH sessions: compares two session logs and reports tool-sequence alignment, tool mix, reasoning volume, timing, retries and file targets, with an optional CI threshold gate. Zero dependencies.

QA orchestrator plugin for DeepSeek Harness: an agent explores your app and leaves evidence, then the explored path replays deterministically. Drives the browser, macOS desktop, iOS and Android drivers.

TraceScope DeepSeek Harness plugin 鈥?embedded React Slot UI + same-origin APIs

Runs a thesis-antithesis-seal debate whose verdict is computed from real command exit codes and case counts, never from agent prose.

DSH RedTeam 模式：一句话拉起红队作战智能体（资产测绘 / 攻击链 / 得分目标 / 报告 / POC 知识库），含四个角色、13 个原生技能与常驻右侧控制台

Insurance actuary — runs real actuarial calculations (life & P&C reserve valuation under C-ROSS II BEL+RM, profit testing NBV/VNB/IRR, embedded value EV, pricing & loss-triangle reserving), not just explanations.

Docker-isolated real-host lifecycle tests for DSH plugins across install, boot, tool registration, update, uninstall, reinstall, and recovery, with structured evidence.

Independent browser acceptance testing for agent deliverables: JSON spec in, real-Chromium verdict out.