memlab-analysis
memlab-analysis is a Runtime diagnostics & profiling skill for AI agents, published by a5c-ai in the babysitter repository on GitHub. Skillspace rates memlab-analysis D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Expert skill for JavaScript memory leak detection using Facebook MemLab. Configure MemLab scenarios, execute memory leak detection runs, analyze heap snapshots, identify detached DOM elements, find event listener leaks, and integrate with CI pipelines.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 1,548
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
What the scanner flagged
- over-broad allowed-tools ('*')
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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