Plugins

Vision-Aufgaben für reine Textmodelle: intentionsbewusste Bild-Q&A, OCR für lange Screenshots, UI-Reproduktion, Grounding und Pixel-Diff.

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

Vollständiges Reverse-Skill-Paket (85 SKILL.md) als DeepSeek-Harness-Cordis-Plugin: Skill-Router für Reverse Engineering, autorisiertes Pentesting und Security-Forschung.

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

Macht jedes Projekt mit einem Befehl KI-Agent-fähig. Adaptive Tech-Stack-Erkennung (7 Sprachen × 14 Frameworks × 61 Komponenten), generiert automatisch AGENTS.md, ein Doku-Grundgerüst, CI/CD und Test-Infrastruktur.

Quantitative R&D toolkit for DeepSeek Harness — 46 tools across six domains covering market data, indicators, factor evaluation, walk-forward ML validation, risk, options, bonds and fund simulation, with an end-to-end research pipeline.

Evaluierungs-Harness für DSH-Plugins: YAML-Fälle steuern echte Headless-Agent-Läufe, prüfen Tool-Aufrufe, Argumente, Ergebnisse und Token-Nutzung, mit einem Baseline-Gate gegen CI-Regressionen.

Automatisierte Unit-Test-Generierung: ein `/testgen`-Befehl und ein generate_tests-Tool, die Tests erstellen, ausführen und reparieren, bis sie bestehen (LLM plus Offline-Template-Generatoren; vitest/jest/mocha/node:test).

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).

Contract regression harness for plugin authors: a scripted LLM adapter drives the real pipeline in isolated child processes with session-event assertions (load/contract/behavior/fault layers); zero API key, CI-ready.

Test-stability tools: repeatedly run vitest/jest/pytest/node:test suites, classify flaky cases, keep history and maintain a quarantine manifest.

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

Strukturiertes Test-Runner-Tool (test_run): erkennt Vitest/Jest/pytest/node:test automatisch, führt Tests aus und wertet Fehlerzusammenfassungen für das Modell aus.

DeepSee: Vision für DeepSeek Harness, Multi-Modell-Routing und visuelle Gemini-Selbstprüfungen vor der Auslieferung

WeChat Mini Program automated testing for DeepSeek Harness (dsh): selector-addressed actions, build-freshness gates, geometry-first assertions that work on text-only models, and screenshot image blocks on vision routes. 微信小程序自动化测试 dsh 插件：选择器寻址、构建新鲜度门、面向纯文

Lion-Skills — a developer-focused agent skill suite (in Chinese) as a DeepSeek Harness plugin: 11 workflow skills for code review, debugging, testing, naming, spec writing, and more.

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.

Bundles an engineering-methodology skill library as one Cordis plugin: 14 Agent Skills (planning, testing, debugging, review, delivery) registered on ctx.skills for DeepSeek Harness.

Headless-browser verification tools so the agent opens the page it just built, reads the rendered DOM and computed styles, checks the console, and screenshots the result; ships a frontend-verify skill.

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

Human-in-the-loop tools (`human_task` / `human_task_ready_check`): pause the agent until the user performs a real-world action or returns an observation (GUI operation, game testing, visual verification, hardware checks), gated by session consent and an AFK presence check, returning a structured JSON result via a web task dialog.