Audit embedded code for stack overflows, heap fragmentation, and memory leaks.
npx skills add https://github.com/FastLED/FastLED --skill memory-audit-fastled
Please help me install this Agent Skill. Skill: memory-audit Source: https://github.com/FastLED/FastLED/tree/main/.claude/skills/memory-audit Command: npx skills add https://github.com/FastLED/FastLED --skill memory-audit-fastled
Memory safety is critical on resource-constrained embedded systems. Without careful analysis, stack overflows, heap fragmentation, and static allocation mismatches can cause crashes or OOM. This skill provides a structured audit workflow to identify risks and offer concrete mitigations.
Audit a memory-heavy module by applying memory-audit to identify stack usage, heap behavior, and static allocation risks and propose fixes.
High-intent search queries and answers about installing and using this skill.
To audit embedded memory safety, analyze stack usage, heap allocations, and static data patterns to identify stack overflows, heap fragmentation, and memory leaks, then apply actionable mitigations. This structured workflow reviews constrained device codebases for critical memory risks.
Heap fragmentation and stack overflows on ESP32 and Cortex-M devices stem from unconstrained dynamic allocations and unchecked recursive function calls. Analyzing platform-specific memory layouts and static allocation patterns exposes these out-of-memory risks.
Integrate memory audits into CI checks by applying the review workflow to validate memory usage across stack, heap, and static data before releases. This generates actionable remediation guidance to prevent OOM crashes on AVR and ESP32 platforms.
Yes, the memory audit supports ESP32 platforms by providing platform-aware recommendations for PSRAM usage, memory layout, and allocation patterns. It evaluates platform-specific memory constraints to prevent static allocation mismatches and crashes.
The best way to review static allocation patterns is performing a structured memory breakdown of stack, heap, and static data. This identifies static allocation mismatches and memory leaks on constrained devices, yielding concrete mitigations for OOM risks.
grasbergDesign and optimize firmware for resource-constrained embedded devices.
CrazyDubyaDetect N+1 queries, memory leaks, and inefficient loops in code.
smart-swimmingpoolOptimize ESP32 pool-controller firmware memory usage and reduce heap fragmentation.
SuperlendDetect timing-based leaks in cryptographic implementations using dudect and Timecop.
