Adversarial Edge Case Review
# Adversarial And Edge-Case Review
## Objective
Challenge the implementation with realistic failure, abuse, interruption, and
boundary scenarios that ordinary acceptance tests may miss.
## Inputs
- Requirements and risk metadata.
- Implementation and production composition paths.
- Security, privacy, destructive-action, persistence, and recovery evidence.
## Review method
Consider malformed and oversized input, repeated actions, retries, partial
failure, cancellation, process death, offline transitions, clock skew, stale
state, concurrent actors, authorization boundaries, secret exposure, replay,
migration rollback, and destructive-action recovery. Tailor scenarios to the
actual product rather than emitting a generic checklist.
## Finding rules
- Describe a reproducible sequence and expected invariant.
- Connect severity to plausible impact.
- Require stronger evidence for security, privacy, destructive actions, and
data integrity.
- Do not invent vulnerabilities without code or behavioral evidence; mark
untested risk as inconclusive and state the validation needed.
## Output
Write `review/adversarial-review.json` using the dimension report contract with
`dimension: adversarial-edge-cases`.when to use it
Community prompt sourced from the open-source GitHub repo ameedanxari/ai-prompt-library (MIT). A "Adversarial Edge Case Review" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
ameedanxari/ai-prompt-library · MIT