scope-drift-detection-user

scope-drift-detection-user is a Blue team & detection skill for AI agents, published by SCStelz in the security-investigator repository on GitHub. Skillspace rates scope-drift-detection-user F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Use this skill when asked to detect scope drift, behavioral expansion, or gradual privilege/access creep in user accounts. Triggers on keywords like "user drift", "user behavioral change", "user scope drift", "user baseline deviation", "user access expansion", or when investigating whether a user account has gradually expanded beyond its established behavioral baseline. This skill builds a 90-day behavioral baseline for both interactive and non-interactive sign-ins, compares with 7-day recent activity, computes weighted Drift Scores (7 dimensions for interactive, 6 for non-interactive), and correlates with SecurityAlert, AuditLogs, Identity Protection, custom anomaly tables, CloudAppEvents (cloud app activity drift), and EmailEvents (email pattern drift).

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
230

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
62 / 100
Maturity
Basic: a single SKILL.md
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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