DeepSeek model harness with focused agents, commands, and skills for swarm-backed reasoning workflows
Plugin ruflo-deepseek-harness from marketplace ruflo in ruvnet/ruflo. Commands read from the repo's manifest — today.
deepseek-chatOne-shot chat completion against DeepSeek's `deepseek-chat` model. Use for non-reasoning tasks such as summarization, extraction or quick classification. Reads DEEPSEEK_API_KEY; returns status:degraded when the key is missing or the API is unreachable.
deepseek-reasonReasoning completion against DeepSeek's `deepseek-reasoner` (R1), returning the chain of thought apart from the answer. Use when a task needs step-by-step reasoning from DeepSeek. Reads DEEPSEEK_API_KEY; returns status:degraded when unset or unreachable.
/ruflo-deepseek-harness:ruflo-deepseek-harnessDeepSeek harness integration — chat and reasoning-mode completions via the OpenAI-compatible DeepSeek API, wrapped as ruflo skills with graceful degradation (ADR-150 pattern)
deepseek-architectDeepSeek harness architect for ruflo. Surfaces DeepSeek's chat and reasoning models via skills; enforces the ADR-150 removability contract (this plugin as optional augmentation, never a required runtime dep); routes between deepseek-chat and deepseek-reasoner based on task shape
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends
5 skills · 2 commands · 9 agents
MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint
13 skills · 1 command · 1 agent · hooks
Visual workflow automation with templates, orchestration, and lifecycle management
5 skills · 8 commands · 3 agents
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
2 skills · 2 commands · 2 agents · 1 MCP server
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
hooks
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
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