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icohangar-ops/metacomp-visionx-dashboard

https://github.com/icohangar-ops/metacomp-visionx-dashboard · scanned 2026-06-16 04:27 UTC (2 months ago)

5 raw signals (0 security + 5 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 4 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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44.4% cov · 4 findings

Severity distribution — click a segment to filter

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Severity: Critical 1 High 0 Medium 1 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 4 Crowd 0 Layer: Frontend 1 Security 1 Quality 2

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 60.6/100 with 44.4% coverage. It contains 15 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 5 findings — concentrated in security (2), quality (2), frontend (1). Risk profile is high: 2 critical, 0 high, 1 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 3 of 4 actionable findings. 5 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.

critical System graph security Secrets conf 1.00 2 occurrences Possible secret in README.md

Detected pattern matching generic_api_key. Rotate the credential and move to a secret manager.

lines 177, 182

README.md:177, 182 (2 hits)

medium System graph quality Tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 3 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

Coverage

low System graph quality Production readiness conf 1.00 Composite production-readiness gap

Multiple low-cost hardening controls are missing together: ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.

Repo hardeningGenerated repo pattern

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