cost-anomaly-detection
cost-anomaly-detection is a Cloud platforms skill for AI agents, published by kortix-ai in the suna repository on GitHub. Skillspace rates cost-anomaly-detection D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Daily reusable-session runbook for cloud-spend anomaly detection on AWS. Maintains a per-service/per-account spend baseline from Cost Explorer, flags spend that breaks out of that baseline, attributes the likely driver (a new resource, a traffic surge, a region), and alerts {{alert_channel}} with the delta. Read-only and alert-only — never modifies or deletes a resource or changes a budget.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 19,971
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
- Scope
- Vendor-specific: built around one product. Runbook for AWS Cost Explorer, a specific public platform.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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