oob-detection
oob-detection is a Runtime diagnostics & profiling skill for AI agents, published by ROCm in the FlyDSL repository on GitHub. Skillspace rates oob-detection D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Detect out-of-bounds memory accesses in CPU or GPU code using static interval analysis and runtime assertions/printfs. Use when investigating OOB, buffer overrun, invalid memory access, HIP/ROCm illegal address, CUDA illegal memory access, silent tensor corruption, or suspicious buffer_load/store address arithmetic.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 234
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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