analyzing-cloud-storage-access-patterns
analyzing-cloud-storage-access-patterns is a Blue team & detection skill for AI agents, published by openshield-org in the openshield repository on GitHub. Skillspace rates analyzing-cloud-storage-access-patterns 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.
Detect abnormal access patterns in Azure Blob Storage by analyzing Storage Analytics and diagnostic logs. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetBlob spikes), and potential data exfiltration.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 54
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
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- mentions secrets in text
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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