orca-cloud-cost-optimizer
orca-cloud-cost-optimizer is a Cloud platforms skill for AI agents, published by orcasecurity in the orca-skills repository on GitHub. Skillspace rates orca-cloud-cost-optimizer D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Cloud cost optimization analysis using Orca Security asset data. Discovers all cloud assets (AWS, GCP, Azure) through Orca MCP tools, compares current configurations against cheaper alternatives using live public pricing, and produces a prioritized cost reduction report with exact asset evidence. Use when the user asks about cloud cost optimization, reducing cloud spend, rightsizing instances, saving money on cloud infrastructure, cost reduction opportunities, unused resources, oversized VMs, reserved instances, storage tiering, or wants to know what changes would lower their cloud bill.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 45
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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