--- title: "agent-skills-eval vs humanbound" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/darkrishabh-agent-skills-eval-vs-humanbound-humanbound" tools: ["darkrishabh-agent-skills-eval", "humanbound-humanbound"] --- # agent-skills-eval vs humanbound *GraphCanon updated Aug 9, 2026* ## Verdict Pick agent-skills-eval if agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript; pick humanbound if humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats. [agent-skills-eval](https://darkrishabh.github.io/agent-skills-eval/) reports 637 GitHub stars, 36 forks, and 11 open issues, last pushed Jul 15, 2026. [humanbound](https://docs.humanbound.ai/) has 118 stars, 13 forks, and 10 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [agent-skills-eval's repository](https://github.com/darkrishabh/agent-skills-eval) and [humanbound's repository](https://github.com/humanbound/humanbound). | | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [humanbound](/tools/humanbound-humanbound.md) | | --- | --- | --- | | Tagline | A test runner for agentskills.io-style AI agent skills | Adversarial Testing Engine and SDK for AI Agents | | Stars | 637 | 118 | | Forks | 36 | 13 | | Open issues | 11 | 10 | | Language | TypeScript | Python | | Adopt for | agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. | humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [humanbound](/tools/humanbound-humanbound.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 13d | 3d | | Open issues (now) | 11 | 10 | | Owner type | User | Organization | | Full report | [trust report](/tools/darkrishabh-agent-skills-eval/trust.md) | [trust report](/tools/humanbound-humanbound/trust.md) | ## Decision facts: agent-skills-eval - **Adopt for:** agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. ## Decision facts: humanbound - **Adopt for:** humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats. ## Choose when ### Choose agent-skills-eval if… - agent-skills-eval is primarily TypeScript; humanbound is Python. - License: agent-skills-eval is MIT, humanbound is Other. - Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli. - When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances. ### Choose humanbound if… - humanbound is primarily Python; agent-skills-eval is TypeScript. - License: humanbound is Other, agent-skills-eval is MIT. - Tags unique to humanbound: adversarial-testing, agentic-ai, llm security, multimodal-ai. - When you need to test your AI agent's resilience against prompt injection attacks, utilize humanbound’s specialized features tailored for this purpose ## When NOT to use agent-skills-eval - This tool may not be suitable if you are using a different AI agent development framework outside of agentskills.io, as it specializes in evaluating skills based on this particular framework. - If your project does not use TypeScript and avoiding transpiler overhead is a priority, then opting for another evaluation tool that supports your primary language might be more beneficial. ## When NOT to use humanbound - Avoid using humanbound if your project does not involve AI agents or is not concerned about adversarial robustness since the tool's functionality might be overly specific - Do not use humanbound in environments where an open-source solution is restricted, particularly considering its licensing and trademark policies ## Common questions ### What is the difference between agent-skills-eval and humanbound? agent-skills-eval: A test runner for agentskills.io-style AI agent skills. humanbound: Adversarial Testing Engine and SDK for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-skills-eval over humanbound? Choose agent-skills-eval over humanbound when agent-skills-eval is primarily TypeScript; humanbound is Python; License: agent-skills-eval is MIT, humanbound is Other; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli; When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances. ### When should I choose humanbound over agent-skills-eval? Choose humanbound over agent-skills-eval when humanbound is primarily Python; agent-skills-eval is TypeScript; License: humanbound is Other, agent-skills-eval is MIT; Tags unique to humanbound: adversarial-testing, agentic-ai, llm security, multimodal-ai; When you need to test your AI agent's resilience against prompt injection attacks, utilize humanbound’s specialized features tailored for this purpose. ### When should I avoid agent-skills-eval? This tool may not be suitable if you are using a different AI agent development framework outside of agentskills.io, as it specializes in evaluating skills based on this particular framework. If your project does not use TypeScript and avoiding transpiler overhead is a priority, then opting for another evaluation tool that supports your primary language might be more beneficial. ### When should I avoid humanbound? Avoid using humanbound if your project does not involve AI agents or is not concerned about adversarial robustness since the tool's functionality might be overly specific Do not use humanbound in environments where an open-source solution is restricted, particularly considering its licensing and trademark policies ### Is agent-skills-eval or humanbound more popular on GitHub? agent-skills-eval has more GitHub stars (637 vs 118). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-skills-eval and humanbound open source? Yes - both are open-source projects on GitHub (agent-skills-eval: MIT, humanbound: Other). ### Where can I find alternatives to agent-skills-eval or humanbound? GraphCanon lists graph-backed alternatives at [agent-skills-eval alternatives](/tools/darkrishabh-agent-skills-eval/alternatives) and [humanbound alternatives](/tools/humanbound-humanbound/alternatives) ([agent-skills-eval markdown twin](/tools/darkrishabh-agent-skills-eval/alternatives.md), [humanbound markdown twin](/tools/humanbound-humanbound/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/darkrishabh-agent-skills-eval-vs-humanbound-humanbound.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-skills-eval or humanbound? agent-skills-eval: Active. humanbound: 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 agent-skills-eval and humanbound? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-skills-eval trust report](/tools/darkrishabh-agent-skills-eval/trust); [humanbound trust report](/tools/humanbound-humanbound/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=darkrishabh-agent-skills-eval`](/api/graphcanon/graph?tool=darkrishabh-agent-skills-eval) - 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/_