@aiready/deps
v0.1.10
Published
AI-Readiness: Dependency Health & Cutoff Skew
Readme
@aiready/deps
AIReady Spoke: Analyzes dependency health and calculates AI training-cutoff skew.
Overview
The Dependency Health analyzer evaluates your package.json to compute timeline skews against AI knowledge cutoff dates.
🏛️ Architecture
🎯 USER
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🎛️ @aiready/cli (orchestrator)
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[PAT] [CTX] [CON] [AMP] [DEP] [DOC] [SIG] [AGT] [TST]
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🏢 @aiready/core
Legend:
PAT = pattern-detect CTX = context-analyzer
CON = consistency AMP = change-amplification
DEP = deps-health ★ DOC = doc-drift
SIG = ai-signal-clarity AGT = agent-grounding
TST = testability ★ = YOU ARE HEREFeatures
- Deprecated Detection: Identifies usage of long-deprecated packages.
- Training-Cutoff Skew: Measures your stack's timeline against standard AI knowledge cutoff dates.
Installation
pnpm add @aiready/depsUsage
aiready scan . --tools deps-healthLicense
MIT
