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Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.
Passed 13 of 21 test cases with the skill, and 5 of 21 without it.
and 16 more in the full report
9 fixed5 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are modifying our microservice payment handler across CreditBalance.ts, CreditTransaction.ts, and usage-sync.ts to support negative balance overrides. Please analyze this change against potential implementation risks and code failure paths. Produce a structured matrix surfacing specific edge cases with real code context, displaying columns for dimension, scenario, severity, and anticipated behavior. List which dimensions were skipped with brief explanations, and finish with a total count categorized by severity impact.
| Checked | Without skill | With skill |
|---|---|---|
| The response selects Deep mode based on touching billing logic across three files. | Missed | Passed |
| The scenario table header matches | # | Dimension | Scenario | Severity | Expected Behavior |. | Missed | Passed |
| The summary section includes total scenario counts for Critical, High, Medium, and Low severities. | Passed | Passed |
The instructions your model reads when the skill loads.
Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Decompose any feature or code path across 12 dimensions to surface edge cases, risks, and test targets before implementation begins.
Choose a mode before generating scenarios. Default is Simple unless a trigger condition applies.
Generates edge cases from the plan description, checklist item, or approach text provided in the prompt. No subagent spawned.
Use when:
Spawns a research subagent to read the actual source before generating scenarios. Scenarios reference real variable names, real function signatures, and real failure modes visible in the code rather than hypothetical ones.
Trigger conditions (any one):
HIGH_RISKDeep mode subagent steps:
The orchestrator then generates scenarios using the research output.
test cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.