--- title: "pentest-ai vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xsteph-pentest-ai-vs-sickn33-antigravity-awesome-skills" tools: ["0xsteph-pentest-ai", "sickn33-antigravity-awesome-skills"] --- # pentest-ai vs agentic-awesome-skills *GraphCanon updated Aug 19, 2026* ## Verdict Pick pentest-ai if pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [pentest-ai](https://pentestai.xyz) reports 1.4k GitHub stars, 286 forks, and 2 open issues, last pushed Jul 5, 2026. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 45k stars, 6.6k forks, and 12 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [pentest-ai's repository](https://github.com/0xSteph/pentest-ai) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | Offensive-security MCP server with security tools and agents | Library of agentic skills for various AI agents | | Stars | 1,441 | 45,139 | | Forks | 286 | 6,610 | | Open issues | 2 | 12 | | Language | Python | Python | | Adopt for | Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 21d | 0d | | Open issues (now) | 2 | 12 | | Stars delta | Unknown | +1.5k (30d) | | Open issues delta | Unknown | +11 (30d) | | Full report | [trust report](/tools/0xsteph-pentest-ai/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: pentest-ai - **Adopt for:** Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT. ## Decision facts: agentic-awesome-skills - **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills. - **Requirements:** Min 2 GB RAM - **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. ## Choose when ### Choose pentest-ai if… - Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security. - pentest-ai ships Docker support for self-hosted deployment. - When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents. ### Choose agentic-awesome-skills if… - Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.. - Requirements: Min 2 GB RAM. - Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools. - - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ## When NOT to use pentest-ai - If your requirements do not include offensive-security capabilities or exploit chaining. - When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations. ## When NOT to use agentic-awesome-skills - - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ## Common questions ### What is the difference between pentest-ai and agentic-awesome-skills? pentest-ai: Offensive-security MCP server with security tools and agents. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose pentest-ai over agentic-awesome-skills? Choose pentest-ai over agentic-awesome-skills when Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security; pentest-ai ships Docker support for self-hosted deployment; When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents. ### When should I choose agentic-awesome-skills over pentest-ai? Choose agentic-awesome-skills over pentest-ai when Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### When should I avoid pentest-ai? If your requirements do not include offensive-security capabilities or exploit chaining. When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations. ### When should I avoid agentic-awesome-skills? - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ### Is pentest-ai or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (45,139 vs 1,441). Stars measure visibility, not whether either tool fits your constraints. ### Are pentest-ai and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (pentest-ai: MIT, agentic-awesome-skills: MIT). ### Where can I find alternatives to pentest-ai or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [pentest-ai alternatives](/tools/0xsteph-pentest-ai/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([pentest-ai markdown twin](/tools/0xsteph-pentest-ai/alternatives.md), [agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/0xsteph-pentest-ai-vs-sickn33-antigravity-awesome-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pentest-ai or agentic-awesome-skills? pentest-ai: Active. agentic-awesome-skills: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for pentest-ai and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pentest-ai trust report](/tools/0xsteph-pentest-ai/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=0xsteph-pentest-ai`](/api/graphcanon/graph?tool=0xsteph-pentest-ai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_