scenario-design
scenario-design is a Test strategy & case design skill for AI agents, published by BlackBeltTechnology in the pi-agent-dashboard repository on GitHub. Skillspace rates scenario-design C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Draft real-life test SCENARIOS (not smoke tests) from a change/feature spec (OpenSpec optional). Derives edge-case, performance, frontend-quirk, and error-handling scenarios using ISTQB design techniques, routes each to your project's test levels, and writes a standalone test-plan.md catalog. When a scenario's (input · trigger · observable) triple cannot be filled from the spec, the spec has a gap — the skill emits decision-forcing clarification questions and (in proposal/design stage) STOPS to ask. Use when the user says "design test scenarios", "what should we test for this change", "the tasks are just smoke tests", "build a test plan", "find edge cases", "is this spec testable", or before writing the ## Tests / ## Validate sections of a tasks.md.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 193
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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