zms-review-tag-classification
zms-review-tag-classification is a Hardening & security compliance skill for AI agents, published by zscaler in the zscaler-mcp-server repository on GitHub. Skillspace rates zms-review-tag-classification D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Review Zscaler Microsegmentation (ZMS) tag classification, application discovery, and tag-to-resource-group mapping. Investigates tag namespaces (CUSTOM, EXTERNAL, ML), tag keys and values, application catalog entries, and how tags drive managed resource group membership. Use when an administrator asks: 'Show me our tag structure', 'What cloud tags are imported?', 'How are resource groups using tags?', 'What applications were discovered?', 'Review tag classification', or 'Are ML tags being used?'
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 41
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, so go by its current files.
Our review
- Architecture
- 96 / 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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