Cloud Cost Optimization
Cloud Cost Optimization is a Cloud platforms skill for AI agents, published by wgpsec in the redc-template repository on GitHub. Skillspace rates Cloud Cost Optimization 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.
Strategies for minimizing cloud infrastructure costs in red team deployments. Use this skill whenever the user asks about pricing, budgets, cost estimates, instance sizing, spot instances, or resource cleanup. Also apply when the user is choosing instance types, discussing how long to keep infrastructure running, asking about billing alerts, or planning a deployment where cost is a concern — even if they don't explicitly mention "cost" or "budget". Proactively reference this skill when generating templates to suggest cost-saving alternatives.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 44
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.
Our review
- Architecture
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.