gke-ai-troubleshooting-tpu-connection-failure-vbar-oom
gke-ai-troubleshooting-tpu-connection-failure-vbar-oom is a System & environment troubleshooting skill for AI agents, published by GoogleCloudPlatform in the gke-mcp repository on GitHub. Skillspace rates gke-ai-troubleshooting-tpu-connection-failure-vbar-oom C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnose and prevent `vbar_control_agent` segfaults and OOMs caused by race conditions during TPU device resets and frequent metrics collection (e.g. every 3s). Use when TPU slice initialization fails or `vbar_control_agent` crashes on TPU v6e nodes.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 161
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Apache-2.0
- 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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