Alternatives
Products that do what Anthropic Cybersecurity Skills does
753 cyber skills for AI agents via MITRE-mapped YAML.
- 1
- 2
- 3
- 4
- 5
- 6WP
Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…
Jun 2026 · argusred.com
- 7TP
Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…
Feb 2026 · mnemom.ai
- 8
13,000+ MCP servers, skills & plugins for AI coding agents
Jul 2026 · codexmarketplaces.com
- 9
- 10
- 11
- 12JA
A few months ago I stumbled on obra's superpowers repository https://github.com/obra/superpowers. I really liked the approach and idea that you enforce discipline for your agent through a skill-based workflow. Even though coding agents (copilot included) have become a lot better at natively handling complex tasks, they still wander off and lose track of things. I really liked how superpowers fixed this and how it enabled long-running sessions without the agent losing its "focus". So I decided to build a Copilot tailored skill suite around the core idea of superpowers. I…
May 2026 · github.com
- 13
Discover 172K+ AI agent skills for Claude, Codex & Copilot
Feb 2026 · skills.palebluedot.live
- 14
- 15
- 16
10 evidence-first workflows for AI coding agents
Jul 2026 · ai-agent-skills-pack.vercel.app
- 17
- 18OS
We built an open-source library of 125 GTM (go-to-market) skills that plug into AI coding agents like Claude Code, Codex, and Cursor. With these skills an AI agent can automatically: - Find ICP leads from conference speakers, LinkedIn activity, or job boards - Generate personalized cold email sequences - Monitor competitor blogs, pricing pages, and hiring signals - Generate programmatic SEO pages from keyword lists - Track where your brand appears in ChatGPT, Perplexity, and Claude answers --- How skills work Each skill is a structured markdown file containing instructions, scripts, and tool…
Mar 2026 · github.com
- 19
- 20
- 21PT
Hi HN, I'm Matt, founder of MCPJam. We're building open source dev tools for MCP server builders. There’s been a lot of debate around skills vs MCP. From what I see, there’s a growing trend of people using skills paired with MCP servers. Skills teach the agent how to use the MCP server tools and guide the agent to completing complex workflows. We’re also seeing Anthropic encourage the use of Skills + MCP in their products. Anthropic recently launched the connectors marketplace. A good example of this is the Figma connector + skills. The Figma skill teaches the agent how to use the Figma MCP…
Jan 2026 · mcpjam.com
- 22CS
I built a collection of professional slash commands for Anthropic's Claude Code that provide structured workflows for common software development tasks. These commands are directly inspired by and adapted from Anthropic's own claude-code-best-practices (https://www.anthropic.com/engineering/claude-code-best-practices) documentation, translating their recommendations into executable workflows. The suite includes commands for: • Comprehensive code reviews with security and performance analysis • End-to-end feature development with planning, implementation, and testing •…
2025 · github.com
- 23AS
I started this project because I believe MCP has the potential to transform how AI models interact with external resources, but the ecosystem is still very fragmented. There's no central place to discover and compare all the server implementations available, which makes adoption and experimentation harder for developers. I initially built the GitHub repo awesome-mcp-servers (https://github.com/punkpeye/awesome-mcp-servers/), and it's been amazing to see the community contribute to it. Now, I'm taking it further with a directory that automates many tasks—introspecting…
2024 · glama.ai
- 24OS
Hello HN, I’ve been building AI agents lately and ran into a common "Context Bloat" problem. When an agent has 20+ skills, stuffing every system prompt, reference doc, and tool definition into a single request quickly hits token limits and degrades model performance (the "lost in the middle" problem). To solve this, I built OpenSkills, an open-source SDK that implements a Progressive Disclosure Architecture for agent skills. The Core Concept: Instead of loading everything upfront, OpenSkills splits a skill into three layers: Layer 1 (Metadata): Light-weight tags and triggers (always loaded…
Jan 2026
Ranked by how close each launch is in meaning, then by votes. Refine with a description →