narrative-drift-monitor

narrative-drift-monitor is a Positioning & messaging skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates narrative-drift-monitor B (84/100) and it passed the safety scan; the rating is based on static analysis only.

Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘

Grade
B
Quality
84 / 100
Safety
Passed
GitHub stars
2,393

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.

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Our review

Architecture
94 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 1 collections
Scope
Portable: works in any project. General marketing narrative-drift-monitoring framework, bundled with own registry.

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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