- 📁 assets/
- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
Analyze Linux kernel vulnerabilities from KASAN/UBSAN/BUG crash logs or CVE descriptions. Performs full root cause analysis, exploitability assessment, patch development, and verification. Use this skill whenever the user provides a kernel crash log, KASAN report, kernel panic trace, syzbot report, or asks to analyze/patch a kernel vulnerability. Also trigger when the user mentions kernel CVEs, kernel exploit analysis, kernel bug triage, or wants to understand if a kernel bug is exploitable. Even if the user just pastes a raw stack trace from dmesg, this skill applies. --- # Kernel Vulnerability Analyzer A comprehensive skill for analyzing Linux kernel vulnerabilities — from crash log triage through root cause analysis, exploitability assessment, patch development, and verified fix delivery. This skill is designed around a **hive-mode subagent architecture**: break the analysis into parallel workstreams, plan before executing, and coordinate results across agents. ## Core Workflow Overview The analysis follows seven phases. Each phase builds on the previous, but many sub-tasks within a phase can run in parallel via subagents. ```
- 📁 agents/
- 📁 examples/
- 📁 references/
- 📄 README.md
- 📄 SKILL.md
面向 GPT-5.4 等强模型的轻量 spec-driven / checkpoint-driven coding skill。用于高输入、高频、多轮的代码与 agentic coding 任务,默认短输出、中文沟通、模型自行分解任务;常驻只保留最小 spec、先复述理解、执行前 checkpoint、批准后执行、执行后回写五类关键约束。
- 📁 actions/
- 📁 assets/
- 📁 benchmarks/
- 📄 .gitignore
- 📄 .gitmodules
- 📄 DESIGN_unified_actions.md
GUI automation via visual perception. Screenshot → detect → click → verify. Use when asked to operate a desktop app, interact with a VM, or complete an OSWorld benchmark task.
How to design, structure, and validate custom Copilot agents for this workspace.
- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
创建和修改 Agent 的指南。当用户想要创建新的 Agent 或修改现有 Agent 时使用此 Skill。Agent 是定义 AI 角色、行为准则和工作流程的 Markdown 文件,存放在 marketplace 的 atoms/agents 目录下。
Set up and launch an autonomous AI research project with Limina. TRIGGER when: user types /limina, says 'start a limina project', 'set up a research project', 'I want to research X autonomously', 'create a research agent', 'autonomous research', 'start a new research mission', or asks to investigate/research a hard technical problem systematically with experiments and evidence. Also triggers on 'limina' mentioned as a tool to use. DO NOT TRIGGER for: general coding questions, simple research lookups, or tasks that don't need structured multi-session research.
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications.
- 📁 .claude-plugin/
- 📁 skills/
- 📄 .gitignore
- 📄 claw-wallet
- 📄 claw-wallet.cmd
A multi-chain wallet skill for AI agents, with local sandbox signing, secure PIN handling, and configurable risk controls.
Create new Agent Skills following the agentskills.io specification. Use when the user wants to create, scaffold, or design a new skill for AI agents. Handles SKILL.md generation, directory structure setup, and validation.
- 📄 checklist.md
- 📄 examples.md
- 📄 security-checklist.md
Review standards for code-reviewer agent. Auto-loaded via agent frontmatter when code-reviewer runs (Phase 4). Covers: severity classification (BLOCKER/MAJOR/MINOR/NIT), decision matrix (APPROVED/APPROVED_WITH_COMMENTS/CHANGES_REQUESTED), auto-escalation rules, grep search patterns for automated checks.
Peer-driven onchain reputation layer for AI agents enabling kudos across reliability, speed, accuracy, creativity, and security categories.
- 📄 CLAUDE.md
- 📄 README.md
- 📄 SKILL.md
Online supermarket automation. Login, search products, add to cart/wishlists, magicorder from past orders. Supports Shufersal, Keshet Teamim, Rami Levy, and Tiv Taam. Usage: /superme login <vendor>, /superme search <product>, /superme add <#>, /superme magicorder, /superme lists, /superme cart, /superme help