container-resource-tuning
container-resource-tuning is a Containers & Kubernetes skill for AI agents, published by nixopus in the nixopus repository on GitHub. Skillspace rates container-resource-tuning D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Size container memory and CPU limits, diagnose OOM kills and CPU throttling, and recommend resource adjustments by ecosystem. Use when containers are being OOM-killed, running slowly, or when setting initial resource limits for a deployment.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,452
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
- 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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