Standards Drift Detection
Standards Drift Detection is a Hardening & security compliance skill for AI agents, published by wyre-technology in the msp-claude-plugins repository on GitHub. Skillspace rates Standards Drift Detection D (56/100) and it passed the safety scan; the rating is based on static analysis only.
Detecting configuration drift against an established baseline: CIPP standards checks and Best Practice Analyser results, Liongard change detections and inspection timelines, the three conditions that make a diff real drift rather than noise, the signals that separate intentional or authorized change from unauthorized weakening (ticket correlation, reversion pattern, direction of change), and the priority order for ranking several drift findings at once.
- Grade
- D
- Quality
- 56 / 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
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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