Checklist Before Merging Runtime Updates

1. Fuzzer Execution Stability

   • All fuzz test suites run without panics or unexpected aborts.

   • Runtime weight limits are respected under high-frequency fuzzed actions.

   • No out-of-memory errors or infinite loops triggered during fuzzing.

2. Edge-Case Handling

   • NFT metadata and payloads of extreme length or unusual characters are processed or rejected gracefully.

   • Listings with zero, maximum, or overflow-prone price values are handled safely.

   • Time-bound fields (like listing duration) validate lower/upper edge boundaries correctly.

3. State Integrity

   • Marketplace storage remains consistent across randomized sequences (e.g., no orphaned NFTs or mismatched ownership).

   • No unauthorized listings or purchases are accepted from unprivileged accounts.

4. Concurrency & Race Conditions

   • Simulated concurrent marketplace operations (e.g., simultaneous buy/delist) do not create inconsistent states.

   • Ensure no duplicate bids, double purchases, or timing-related transaction issues.

5. Security & Logic Validation

   • Integer overflow/underflow is fully prevented (including price and balance calculations).

   • Bids and purchases behave consistently across randomized input sequences.

   • Any token ID reuse is detected and blocked.

6. Test Coverage Metrics

   • All key extrinsics (mint, list, buy, delist, transfer, bid) are fuzzed with randomized inputs.

   • Hook logic (on_initialize, on_finalize) has been indirectly exercised during fuzz tests.

7. Logs & Observability

   • Logs (if enabled during fuzzing) do not reveal sensitive data or spam with redundant outputs.

   • Any detected failures are reproducible using the failing input snapshot or seed.

8. Documentation & Code Review

   • All fuzzer utilities and test functions are documented with purpose and expected outcomes.

   • Code reviewed by at least one team member not involved in the original fuzz logic implementation.