ios-memgraph-leaks

Capture and inspect iOS leaks and memgraphs. Use when debugging leaked objects, retain cycles, memory growth, or before/after leak evidence.

Quality

100%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

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 well-structured, actionable skill body: executable capture/summarize commands, a sequenced workflow with a recapture verify-loop, lean root-cause rules, and a clear proof-reporting checklist. Bundle scripts referenced in the body are real and appropriately externalized.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes Claude's competence — it never explains what a memgraph or a retain cycle is — and every section (Capture, Summarize, Root Cause Rules, Report) earns its place, matching the 'lean and efficient' anchor rather than the score-2 'could be tightened' case.	3 / 3
Actionability	Provides copy-paste-ready bash with real script paths (scripts/capture_sim_memgraph.sh, scripts/summarize_memgraph_leaks.py), real flags (--udid, --bundle-id, --trace-limit), and real leaks commands (--traceTree, --groupByType), matching the 'fully executable code/commands' anchor.	3 / 3
Workflow Clarity	A 6-step Core Workflow with an explicit feedback loop ('Make the smallest root-cause patch, then recapture the same flow') and a proof/report step requiring before/after evidence, matching the 'clear sequence with explicit validation steps; feedback loops' anchor rather than the score-2 'checkpoints missing' case.	3 / 3
Progressive Disclosure	SKILL.md is an organized overview (Core Workflow, Capture, Summarize, Root Cause Rules, Report) with heavy lifting split into verified one-level-deep bundle scripts in ./scripts/ and a single peer-skill pointer, matching the 'clear overview with well-signaled one-level-deep references' anchor.	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 states concrete capabilities and provides an explicit 'Use when' trigger with natural debugging vocabulary. It clearly answers what the skill does and when to invoke it, with low conflict risk against other skills.

Dimension	Reasoning	Score
Specificity	Names concrete actions ('Capture and inspect') on a specific domain ('iOS leaks and memgraphs'), matching the 'lists multiple specific concrete actions' anchor rather than the score-2 'some actions, not comprehensive' anchor.	3 / 3
Completeness	Explicitly answers both what ('Capture and inspect iOS leaks and memgraphs') and when via an explicit 'Use when debugging...' clause, the score-3 anchor; it is not the score-2 case where the trigger is only implied.	3 / 3
Trigger Term Quality	Covers natural developer-facing terms ('leaked objects, retain cycles, memory growth, before/after leak evidence') that a user debugging memory issues would actually say, satisfying the 'good coverage of natural terms' anchor.	3 / 3
Distinctiveness Conflict Risk	A clear niche (iOS leaks and memgraphs) with distinct triggers unlikely to fire for unrelated skills, matching the 'clear niche with distinct triggers' anchor rather than the score-2 'could still overlap' case.	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-memgraph-leaks/SKILL.md
Commit: 11c74d6

Reviewed: 17 days ago

Table of Contents

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