running-stabilization-loop
running-stabilization-loop is a Build, CI & test failure triage skill for AI agents, published by mysticaltech in the terraform-hcloud-kube-hetzner repository on GitHub. Skillspace rates running-stabilization-loop F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Use after major refactors or risky infrastructure changes to run iterative stabilization loops in kube-test: clean state, run the v3 matrix (k3s/rke2, autoscaler, leapmicro/microos, multi-arch), proactively debug failures over SSH/journalctl, apply fixes, retest until green, then validate upgrade paths from the latest tag to current staging.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 3,880
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.
Our review
- Architecture
- 87 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- accesses sensitive system files
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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