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koala73/worldmonitor

https://github.com/koala73/worldmonitor · scanned 2026-07-23 19:36 UTC (4 days, 19 hours ago)

245 raw signals (0 security + 245 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 19 hours ago · v9 · last Δ +3.2 (diff) · 241 actionable findings from 1 signal source. 4 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 241 findings

Severity distribution — click a segment to filter

Active filters: layer: hardware × excluding tests × Reset all

Severity: Critical 1 High 29 Medium 50 Low 150 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 241 Crowd 0 Layer: Software 11 Frontend 32 Security 69 Network 3 Hardware 2 Cicd 3 Quality 103 Dependencies 16 Api 2

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 62.6/100 with 100.0% coverage. It contains 19841 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 245 findings — concentrated in quality (103), security (69), frontend (32). Risk profile is high: 1 critical, 29 high, 55 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 2 of 241 actionable findings. 245 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph hardware Security conf 1.00 Dockerfile runs as root: consumer-prices-core/Dockerfile

No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.

Container

medium System graph hardware Security conf 1.00 Dockerfile runs as root: docker/Dockerfile

No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.

Container

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

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