ios-ettrace-performance

Capture and interpret iOS Simulator ETTrace profiles. Use when profiling launch or runtime latency, comparing traces, or finding CPU-heavy stacks.

Quality

100%

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Securityby

Low

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Quality

Content

100%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A polished, operational skill body that pairs executable commands with explicit validation checkpoints and routes detail into real helper scripts. It respects token budget while remaining fully actionable for a fragile multi-step profiling workflow.

Dimension	Reasoning	Score
Conciseness	The body is lean and command-driven, assuming Claude's competence; it does not pad with concepts Claude already knows, and its prose consists of non-obvious ETTrace operational gotchas that earn their tokens.	3 / 3
Actionability	Provides fully executable, copy-paste-ready bash with concrete flags and paths (brew install, xcodebuild archive, ettrace --simulator, dwarfdump) plus a real Bazel snippet, matching the 'fully executable' anchor.	3 / 3
Workflow Clarity	A clear 7-step core workflow is expanded into sequenced sections with explicit validation gates (symbolication gate, capture-marker and non-empty-summary checks) and feedback loops (rebuild for missing dSYMs, recapture if the analyzer rejects the JSON).	3 / 3
Progressive Disclosure	SKILL.md acts as the orchestrating overview while delegating concrete detail to real one-level-deep bundle scripts — scripts/collect_ios_dsyms.sh and scripts/analyze_flamegraph_json.py, both present and clearly signaled by path.	3 / 3
	Total	12 / 12 Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A concise, third-person description that clearly states concrete capabilities and an explicit 'Use when' trigger for a well-scoped iOS profiling niche. It avoids fluff and reads like the strong reference examples.

Dimension	Reasoning	Score
Specificity	Names multiple concrete actions tied to a specific tool — 'Capture and interpret iOS Simulator ETTrace profiles' — rather than vague language, matching the 'lists multiple specific concrete actions' anchor.	3 / 3
Completeness	Explicitly answers both 'what' (capture and interpret ETTrace profiles) and 'when' via a clear 'Use when...' trigger clause, so it is not capped at 2.	3 / 3
Trigger Term Quality	The 'Use when profiling launch or runtime latency, comparing traces, or finding CPU-heavy stacks' clause covers natural terms a user would actually say when needing this skill.	3 / 3
Distinctiveness Conflict Risk	The narrow iOS Simulator ETTrace niche with distinct triggers (ETTrace, profiling latency, CPU-heavy stacks) is unlikely to conflict with other skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: openai/plugins
Path: plugins/build-ios-apps/skills/ios-ettrace-performance/SKILL.md
Commit: 11c74d6

Reviewed: 17 days ago

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