Atlas / Skills / hoangnguyen0403 / Ios Performance

Ios PerformanceSAFE

skills/hoangnguyen0403/ios-performance

A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
575
01

Overview

A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages

Read from source at commit 6f5be687a268OBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: ios-performance
description: Profile and optimize iOS apps with Instruments, memory management, and rendering techniques. Use when profiling iOS apps with Instruments or optimizing memory and rendering.
metadata:
  triggers:
    files:
    - '**/*.swift'
    keywords:
    - Instruments
    - Allocations
    - Leaks
    - dequeueReusableCell
    - ios performance
    - swift performance
    - optimize ios
    - time profiler
    - frame drops
    - main thread
    - slow scroll
---
# iOS Performance

## **Priority: P0 (CRITICAL)**

## Implementation Workflow

1. **Profile with Instruments** — Regularly use Allocations and Leaks to detect memory issues. Use Time Profiler for CPU stalls.
2. **Reuse cells** — Always use `dequeueReusableCell` and keep `cellForRowAt` lightweight.
3. **Cache images** — Use `SDWebImage` or `Kingfisher` for remote assets. `AsyncImage` lacks caching for lists.
4. **Offload to background** — Move parsing, encryption, and heavy computation off Main thread using GCD or Tasks.
5. **Enable strict warnings** — Set `SWIFT_TREAT_WARNINGS_AS_ERRORS` in Release builds.
6. **Run static analysis** — Use Xcode's "Analyze" (Product > Analyze) to catch logic errors.

See [background processing and cell reuse examples](references/implementation.md)

## Anti-Patterns

- **No Main-thread Processing**: Offload parsing/processing to background using `Task.detached` or GCD
- **No Manual Cache Clears**: Let system handle low-memory via `applicationDidReceiveMemoryWarning`
- **No Retain Cycles**: Use Leaks instrument frequently during development

## References

- [Profiling & Optimization](references/implementation.md)
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 6f5be687a268full audit observations/trust-audit/skill/hoangnguyen0403__ios-performance.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-146f5be687a268SAFEB89first audit
05

Questions

What does the Ios Performance skill do?

A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages

Is Ios Performance safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Ios Performance access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (6f5be687a268), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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