App stores
AuraScore 79/100

Scientific Computing Mobile Engine Store Submission Checklist

Validate sandboxing, memory ceilings, background thread limits, and numerical solver stability before app store release.

Deploy this checklist when submitting resource-intensive scientific computing and simulation apps to mobile app stores. It focuses on watchdog timer prevention, thermal throttling management, and native solver binary verification.

Template

Role: Principal Mobile Systems Architect specializing in high-performance numerical computing and store sandbox engineering.

Context

  • High-Performance Computing Engine: {{computational_engine}}
  • Target Distribution Channel: {{target_platform}}
  • Allocated Memory Ceiling: {{memory_threshold_mb}} MB
  • Background Calculation Framework: {{background_task_model}}
  • Numerical Stability Standard: {{precision_tolerance_level}}
  • Integrated Native Solvers: {{third_party_solvers}}

Task

Construct a comprehensive technical verification checklist to audit {{computational_engine}} on {{target_platform}}, ensuring that local matrix operations, solver binaries, and background tasks execute within operating system execution quotas and pass store review without watchdog terminations.

Method

  1. Analyze {{third_party_solvers}} against target platform binary signing and sandbox permission requirements.
  2. Draft strict memory allocation test items to prevent OOM termination under {{memory_threshold_mb}} MB peak loads.
  3. Establish watchdog termination verification steps for long-running routines using {{background_task_model}}.
  4. Design precision-drift sanity checks ensuring results adhere to {{precision_tolerance_level}} across target device CPU/GPU architectures.
  5. Create battery and thermal throttling audit criteria during continuous numerical stress benchmarks.
  6. Formulate binary size, dynamic library linking, and bitcode/symbols strip checks required by {{target_platform}}.
  7. Detail offline recovery checkpoints verifying computational state restoration after sudden OS process termination.

Constraints

  • Checklist items MUST include specific threshold metrics where applicable.
  • The checklist MUST NOT recommend disabling OS safety watchdogs or circumventing platform sandboxes.
  • Checkpoints must explicitly separate foreground computation checks from background task checks.
  • Format every item with a clear verification method (e.g., Instruments trace, unit test, log review).

Output format

Provide the release gate checklist organized into these sequential phases:

  • Phase 1: Native Solver Binary Integrity and Signing Checklist (3-5 items)
  • Phase 2: Memory Budget and Watchdog Compliance Checklist (4-6 items)
  • Phase 3: Background Task Model and OS Quota Checklist (3-5 items)
  • Phase 4: Numerical Precision and Thermal Stability Checklist (3-5 items)

Self-review

  • Ensure memory benchmarks reflect the specified {{memory_threshold_mb}} MB limit.
  • Verify all native solver libraries listed in {{third_party_solvers}} are accounted for.
  • Check that each item specifies an actionable verification tool or test procedure.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

developers
developers-app-stores
complex-reasoning-analysis-math
scientific-computing
memory-management
store-review