Alert Severity Normalization
Alert Severity Normalization is an Observability & incident response skill for AI agents, published by wyre-technology in the msp-claude-plugins repository on GitHub. Skillspace rates Alert Severity Normalization 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.
A common Critical/High/Medium/Low normalized severity model for security alerts, incidents, and findings, with the judgment axes (confidence, mitigation state, blast radius) that place a record in a tier and the mapping from each vendor's native terminology — Huntress incident status, SentinelOne threat confidence, Blumira finding priority, CIPP alert queue severity, Blackpoint Cyber SOC severity, SaaS Alerts risk level — plus how to discover which security vendors are actually connected.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 45
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.
Our review
- Architecture
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- exfiltration language
Not checked yet
- Category is a classifier prediction; no model has read this skill 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.