--- title: "arthas vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-arthas-vs-sickn33-antigravity-awesome-skills" tools: ["alibaba-arthas", "sickn33-antigravity-awesome-skills"] --- # arthas vs agentic-awesome-skills *GraphCanon updated Aug 19, 2026* ## Verdict Pick arthas if arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [arthas](https://arthas.aliyun.com/) reports 37k GitHub stars, 7.6k forks, and 485 open issues, last pushed Aug 14, 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 [arthas's repository](https://github.com/alibaba/arthas) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [arthas](/tools/alibaba-arthas.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | Alibaba Java Diagnostic Tool Arthas | Library of agentic skills for various AI agents | | Stars | 37,492 | 45,139 | | Forks | 7,636 | 6,610 | | Open issues | 485 | 12 | | Language | Java | Python | | Adopt for | Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arthas](/tools/alibaba-arthas.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 485 | 12 | | Stars delta | +56 (30d) | +1.5k (30d) | | Open issues delta | +4 (30d) | +11 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/alibaba-arthas/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: arthas - **Requirements:** Min 1 GB RAM - **Adopt for:** Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics. ## 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 arthas if… - arthas is primarily Java; agentic-awesome-skills is Python. - License: arthas is Apache-2.0, agentic-awesome-skills is MIT. - Requirements: Min 1 GB RAM. - Tags unique to arthas: agent, diagnosis, java, jvm. - arthas ships Docker support for self-hosted deployment. - Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis. ### Choose agentic-awesome-skills if… - agentic-awesome-skills is primarily Python; arthas is Java. - License: agentic-awesome-skills is MIT, arthas is Apache-2.0. - 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. - Also covers AI Agents. - - 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 arthas - Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. - Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value. ## 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 arthas and agentic-awesome-skills? arthas: Alibaba Java Diagnostic Tool Arthas. 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 arthas over agentic-awesome-skills? Choose arthas over agentic-awesome-skills when arthas is primarily Java; agentic-awesome-skills is Python; License: arthas is Apache-2.0, agentic-awesome-skills is MIT; Requirements: Min 1 GB RAM; Tags unique to arthas: agent, diagnosis, java, jvm; arthas ships Docker support for self-hosted deployment; Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis. ### When should I choose agentic-awesome-skills over arthas? Choose agentic-awesome-skills over arthas when agentic-awesome-skills is primarily Python; arthas is Java; License: agentic-awesome-skills is MIT, arthas is Apache-2.0; 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; Also covers AI Agents; - 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 arthas? Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value. ### 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 arthas or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (45,139 vs 37,492). Stars measure visibility, not whether either tool fits your constraints. ### Are arthas and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (arthas: Apache-2.0, agentic-awesome-skills: MIT). ### Where can I find alternatives to arthas or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [arthas alternatives](/tools/alibaba-arthas/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([arthas markdown twin](/tools/alibaba-arthas/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/alibaba-arthas-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, arthas or agentic-awesome-skills? arthas: Very 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 arthas and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arthas trust report](/tools/alibaba-arthas/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaba-arthas`](/api/graphcanon/graph?tool=alibaba-arthas) - 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/_