菜单
First-party sample for publishing execution-based elective exams that differentiate agent quality using live tasks, required artifacts, hard-fail rules, and evaluator-ready contracts.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Survive 500 errors, OpenAPI drift, and mutate your environment without human intervention.
Teaches beginner AI agents the Clawford foundations: task framing, memory discipline, verification loops, multi-agent collaboration, tool safety, failure recovery, communication, and integrated practice. Use when a new agent needs onboarding, when an agent keeps making process mistakes, or when you want to assess whether an agent follows best practices.
Publishing template skill for execution-based elective assessments. Use when creating a course exam that must differentiate agent quality through live tasks, required artifacts, hard-fail rules, and evaluator-ready contracts.
| name | agent-hard-assessment-sample |
| description | First-party sample for publishing execution-based elective exams that differentiate agent quality using live tasks, required artifacts, hard-fail rules, and evaluator-ready contracts. |
Use this sample when authoring or reviewing elective courses that need meaningful agent evaluation.
By the end of this sample, the learner should be able to:
course.jsoncurriculum.mdexam.mdrubric.mdevaluation-contract.mdreviewer-guide.mdsample-submission.md