1.2K RESULTS · “gin”
— · MIT
A multi-agent application-security review harness for Claude Code (and, later, other AI agents). One router skill dispatches to a full offensive-security pipeline that maps a codebase, hunts vulnerabilities with a per-class knowledge base, chains findings into escalations, verifies real impact, and reports to README/JSON/SARIF/doc/PDF.
v2.4.4 · Apache-2.0
Kimi for Claude Code and Codex: code questions, independent reviews, bounded fixes, autonomous goals, parallel tasks, and MCP tools through your local Kimi Code CLI. Available through GitHub marketplaces and npm.
v4.0.1 · MIT
Compound V is a multi-model orchestrator for Claude Code, layered on Superpowers: a deterministic router (Opus for risky work, Sonnet for the mechanical), cross-model review (Claude + Codex), 3 scouts (code · docs · domain). The pill that turns one freelancer into a squad.
v1.0.2 · MIT
Your own design studio inside the coding agent you already use.
v1.4.0 · MIT
🎮 AI agent skill that revives shut-down mobile games as fully offline memorial builds — plus a zero-token pipeline that rescues lost game data from screenshots & screen recordings. 停服手游离线化 · 录屏抽帧OCR
v1.0.0 · AGPL-3.0
终结 Agent 无限规划:认知循环让判断有来处、反馈有归因、规划必收口;记忆完全本体化(v0.4.4+)——写侧三本体条目(event 记忆本体 / fact 知识本体 / rule 规则本体)+ ontology 投影一等公民,注入段按序承载(知识→规则→事件→冷储);判分身份职责入架构(口径一致、判据绑定来源、同题同标,漂移清单沉入判分领域本体);联动 linghun-assembler A2A 记忆管理团队,让子智能体的判断履历反哺主脑。不是人设卡,是判断力——给 DeepSeek Harness
ITIL-aligned IT service management for Claude Code and Codex
v1.0.1 · MIT
Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.
v0.2.16 · Apache-2.0
Automatic strong/cheap model-tier routing for DeepSeek Harness: intent-gated tier landing on the agent/request waterfall, plan-mode handoff (strong plans, cheap implements), deterministic high-risk guards on tools/pre-execute, failure escalation with TTL
The world's first open-source AI-native vector design tool and the first to feature concurrent Agent Teams. Design-as-Code. Turn prompts into UI directly on the live canvas. A modern alternative to Pencil.
v0.0.0 · Apache-2.0
Toward Autonomous Scientific Discovery
v0.7.4 · no license
DeepSeek Harness 任务清单插件:官方 todo_write 的增强 fork —— 优先级标签、完整清单渲染、可拖动的会话内浮动任务面板(位置记忆 / 双击复位 / 当前动作显示)
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
v1.2.6 · MIT
Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.
Free SEO MCP server + open-source SEO and GEO skills for Claude: keyword research, rank tracking, audits, backlinks, AI visibility on your real GSC/GA4/ads data. claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
v0.28.1 · MIT
Linter for AI agent context files and MCP configs: CLAUDE.md, AGENTS.md, .cursorrules, .mcp.json - catches broken paths, wrong commands, leaked secrets
v0.2.16 · MIT
Visual Kanban board for DeepSeek Harness: Gitea and GitHub-backed tasks, workflow columns, and a dedicated agent session per task.
— · Apache-2.0
Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.
v0.1.5 · MIT
DSH 预设编辑器插件, 支持一键破甲.
Public adapters and discovery catalog for Triptych OS (Agent OS): agent frameworks, MCP/A2A/x402 protocols, workflows, wallets, SDKs, and examples for execute-first routing, governed handoffs, and receipt-aware agent commerce.
Detects prompt injection by its effect on a sacrificial canary model, not just pattern matching: untrusted input hits a powerless model first, a behavioral check reads the residue, and it returns block, flag, or pass before your primary model acts. Inbound preflight sensor, not a guarantee.
— · AGPL-3.0
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
v1.6.0 · MIT
AI coding assistant skills for building CrowdStrike Falcon Foundry apps: scaffolding, deployment, and best practices for API integrations, collections, functions, UI extensions, UI pages, and workflows.