profiling-sct-code
profiling-sct-code is a Runtime diagnostics & profiling skill for AI agents, published by scylladb in the scylla-cluster-tests repository on GitHub. Skillspace rates profiling-sct-code D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Profile Python code in SCT to find CPU, memory, and concurrency bottlenecks using cProfile, scalene, memray, and py-spy. Use when a test or framework operation is unexpectedly slow, memory usage grows unbounded, you need to find which functions dominate CPU time, or you want to verify that an optimization actually improved performance. Covers profiling unit tests and full SCT test runs.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 73
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
- 82 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- AGPL-3.0
- 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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