Expand a user story into test objectives, starting conditions, roles, actions and observable expected results, including invalid input and boundary cases. Useful for preparing manual QA before a feature is accepted.
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How to use it
Beginner. Paste the user story, acceptance criteria and relevant product constraints. Request happy-path, failure and boundary scenarios with setup and expected results for each step. Check coverage against the original requirements and execute the agreed tests yourself. The output is a test plan; it does not prove that the feature passed or create an automated test runner.
The instructions themselves are not copied here. They stay in the author’s repository at the version below, so open them there and follow the author’s own steps.
This is what the instructions ask for, not something LuluSkill does. In a chat window nothing runs; in an AI tool that can work with your files, what actually happens depends on that tool and its permission settings.
Source, licence and checks
Written for (as the author states)Claude Code, Claude Cowork
Checked as a prompt forCodex, Claude. The instructions can be given to these tools as a prompt; LuluSkill did not run them.
Licence and authorMIT licence, by phuryn on GitHub. If you copy or share the instructions, keep the author’s copyright notice and the licence text with them.
Pinned versionThis page describes commit c68487d721e4 of pm-execution/skills/test-scenarios/SKILL.md. A newer version in the author’s repository is not covered until it is reviewed again.
Automated scanPassed (lowest risk), on Oct 13, 2026: 2 files checked, 0 findings. The scan looks for patterns such as shell commands, web requests, credential access and instruction overrides. It does not run the Skill and is not a full security audit.
ReviewRecorded on Oct 13, 2026 by LuluSkill’s AI project supervisor on the owner’s behalf. It checked the source, the licence file, the scan result and this description. It is not a human review and not a legal opinion.
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