--- title: "agent-skills-eval vs giskard-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/darkrishabh-agent-skills-eval-vs-giskard-ai-giskard-oss" tools: ["darkrishabh-agent-skills-eval", "giskard-ai-giskard-oss"] --- # agent-skills-eval vs giskard-oss *GraphCanon updated Aug 2, 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 giskard-oss if giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities. [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. [giskard-oss](https://docs.giskard.ai) has 5.7k stars, 511 forks, and 92 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [agent-skills-eval's repository](https://github.com/darkrishabh/agent-skills-eval) and [giskard-oss's repository](https://github.com/Giskard-AI/giskard-oss). | | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Tagline | A test runner for agentskills.io-style AI agent skills | Open-Source Evaluation & Testing library for LLM Agents | | Stars | 637 | 5,727 | | Forks | 36 | 511 | | Open issues | 11 | 92 | | Language | TypeScript | Python | | Adopt for | agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. | Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 13d | 0d | | Open issues (now) | 11 | 92 | | Owner type | User | Organization | | Full report | [trust report](/tools/darkrishabh-agent-skills-eval/trust.md) | [trust report](/tools/giskard-ai-giskard-oss/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: giskard-oss - **Requirements:** Requires Python 3.12+ - **Adopt for:** Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities. ## Choose when ### Choose agent-skills-eval if… - agent-skills-eval is primarily TypeScript; giskard-oss is Python. - License: agent-skills-eval is MIT, giskard-oss is Apache-2.0. - Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, ai-agents. - Also covers AI Agents. - When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances. ### Choose giskard-oss if… - giskard-oss is primarily Python; agent-skills-eval is TypeScript. - License: giskard-oss is Apache-2.0, agent-skills-eval is MIT. - Requirements: Requires Python 3.12+. - Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing. - Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios. ## 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 giskard-oss - Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents. - Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem. ## Common questions ### What is the difference between agent-skills-eval and giskard-oss? agent-skills-eval: A test runner for agentskills.io-style AI agent skills. giskard-oss: Open-Source Evaluation & Testing library for LLM Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-skills-eval over giskard-oss? Choose agent-skills-eval over giskard-oss when agent-skills-eval is primarily TypeScript; giskard-oss is Python; License: agent-skills-eval is MIT, giskard-oss is Apache-2.0; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, ai-agents; Also covers AI Agents; 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 giskard-oss over agent-skills-eval? Choose giskard-oss over agent-skills-eval when giskard-oss is primarily Python; agent-skills-eval is TypeScript; License: giskard-oss is Apache-2.0, agent-skills-eval is MIT; Requirements: Requires Python 3.12+; Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing; Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios. ### 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 giskard-oss? Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents. Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem. ### Is agent-skills-eval or giskard-oss more popular on GitHub? giskard-oss has more GitHub stars (5,727 vs 637). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-skills-eval and giskard-oss open source? Yes - both are open-source projects on GitHub (agent-skills-eval: MIT, giskard-oss: Apache-2.0). ### Where can I find alternatives to agent-skills-eval or giskard-oss? GraphCanon lists graph-backed alternatives at [agent-skills-eval alternatives](/tools/darkrishabh-agent-skills-eval/alternatives) and [giskard-oss alternatives](/tools/giskard-ai-giskard-oss/alternatives) ([agent-skills-eval markdown twin](/tools/darkrishabh-agent-skills-eval/alternatives.md), [giskard-oss markdown twin](/tools/giskard-ai-giskard-oss/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-giskard-ai-giskard-oss.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 giskard-oss? agent-skills-eval: Active. giskard-oss: 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 giskard-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-skills-eval trust report](/tools/darkrishabh-agent-skills-eval/trust); [giskard-oss trust report](/tools/giskard-ai-giskard-oss/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/_