art-of-debugging
art-of-debugging is a Runtime diagnostics & profiling skill for AI agents, published by stas00 in the the-art-of-debugging repository on GitHub. Skillspace rates art-of-debugging C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Systematic methodology and concrete tool recipes for debugging Unix, Python, and PyTorch programs - crashes, hangs, segfaults, wrong output, CUDA OOM, NaN/Inf, slowness, and multi-node/multi-GPU issues. Use when a program crashes, hangs, deadlocks, segfaults, runs out of memory (OOM), produces NaN/Inf or wrong numbers, runs too slowly, or when the user mentions gdb, strace, py-spy, core files, CUDA_LAUNCH_BLOCKING, ldd/nm/LD_PRELOAD, cProfile, or distributed training hangs. Distilled from "The Art of Debugging", the latest version of which can be found at https://github.com/stas00/the-art-of-debugging The latest SKILL.md version can be found at https://github.com/stas00/the-art-of-debugging/blob/master/SKILL.md
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 1,667
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- CC-BY-SA-4.0
- 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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