SKILLEMALL.ai

BF swiftui-performance-audit

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

ClawHub Agent Skills author: soponcd v1.0.0 MIT-0 2 files body ≈ 1 404 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/optimizing-swiftui-performance-instruments.md, references/understanding-improving-swiftui-performance.md, references/understanding-hangs-in-your-app.md

AnalyzerSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/optimizing-swiftui-performance-instruments.md, references/understanding-improving-swiftui-performance.md, references/understanding-hangs-in-your-app.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: swiftui-performance-audit (ClawHub)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/optimizing-swiftui-performance-instruments.md
  • warning missing-ref reference to a missing file: references/understanding-improving-swiftui-performance.md
  • warning missing-ref reference to a missing file: references/understanding-hangs-in-your-app.md
  • warning missing-ref reference to a missing file: references/demystify-swiftui-performance-wwdc23.md
  • note frontmatter-key unknown frontmatter key "domain"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/optimizing-swiftui-performance-instruments.md, references/understanding-improving-swiftui-performance.md, references/understanding-hangs-in-your-app.md
  • 0Tools and files. 4 referenced file(s) missing: references/optimizing-swiftui-performance-instruments.md, references/understanding-improving-swiftui-performance.md, references/understanding-hangs-in-your-app.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (swiftui-performance-audit) differs from the folder (timeflow-swiftui-performance-audit)
  • 70Failures and branches. 4 branches
  • 85Steps. 42 steps, 2 vague phrases
  • 100Execution cost. Instruction body is 1404 tokens
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 322: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: clean
This is a small instruction-only SwiftUI performance review skill with no executable payload or hidden authority.
LLM: benign (high) · VirusTotal: · 29 May 2026