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embedaudit

Embedding / vector-store drift and poisoning audit

updated 2d agogithub ↗
75fair
▣ Overview
PyPICILicense: COCL 1.0Suite
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
0
0.0
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
75.0
⚿ Capabilities & Risk Explainer
fs readfs writenetworksecrets
◆ Risk level: medium
fs read + fs write + network + secrets — requires access to credentials or environment secrets.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/cognis-digital/embedaudit
📈 Score historylast 8 snapshots
6/20/20267/21/2026 · 8 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues1
license✓ present
readme length19256 chars
last publish7d ago
last commit2d ago
last updated16d ago
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embedaudit — MCP Score: 75/100 | MCPScore | Timeahead