memory-audit
memory-audit is an Embedded, IoT & robotics skill for AI agents, published by FastLED in the FastLED repository on GitHub. Skillspace rates memory-audit D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Audit embedded code for stack overflow risks, heap fragmentation, static allocation patterns, and memory leaks. Use when investigating OOM crashes, optimizing memory usage, or reviewing memory-critical code on constrained devices.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 7,450
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic embedded memory audit checklist, no repo specifics
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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