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zigrivers/server-setup

https://github.com/zigrivers/server-setup · scanned 2026-06-16 04:41 UTC (1 month, 2 weeks ago)

4 raw signals (0 security + 4 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v1 · 4 actionable findings from 1 signal source. 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 0 High 0 Medium 1 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 4 Crowd 0 Layer: Quality 4

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Scan summary Repository scanned at 80.2/100 with 44.4% coverage. It contains 11 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 4 findings — concentrated in quality (4). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 4 of 4 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Agent instructions conf 1.00 Agent instructions exist but release-hardening basics are missing

AI-coder instruction files were found, but the repo is missing license, ci. Treat this as a contract gap: the agent is guided, but the generated output is not yet guarded by the controls that make it repeatable.

Repo hardeningGenerated repo pattern

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

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

Repo hardeningGenerated repo pattern

low System graph quality Agent instructions conf 1.00 Multiple root agent instruction files without precedence

The repo has multiple top-level AI-coder instruction files. Without precedence rules, different agents may follow different policies.

Governance

low System graph quality License conf 1.00 No license file detected

No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.

Repo hardeningGenerated repo pattern

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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