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AIEngineering26/promptvm-cli

https://github.com/AIEngineering26/promptvm-cli · scanned 2026-06-17 01:11 UTC (1 month, 2 weeks ago)

5 raw signals (0 security + 5 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -12.1 (diff) · 5 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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55.6% cov · 5 findings

Severity distribution — click a segment to filter

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Severity: Critical 1 High 0 Medium 4 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 5 Crowd 0 Layer: Security 1 Cicd 1 Quality 3

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 64.6/100 with 55.6% coverage. It contains 177 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 5 findings — concentrated in quality (3), security (1), cicd (1). Risk profile is high: 1 critical, 0 high, 4 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 4 of 5 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 tests. 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

medium System graph quality Tests conf 1.00 CI is configured but no tests are detected

A CI pipeline exists, but the scan found no test files to gate. Opus labeled this generated-code pattern as config theater: release machinery exists, but it has little behavioral signal.

CI/CDConfig theaterRepo hardening

medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data

A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.

Mock dataCritical flowGenerated repo pattern

medium System graph cicd CI/CD security conf 1.00 GitHub Actions workflow grants broad write permissions

CI tokens with write permissions increase blast radius when an action, dependency, or PR workflow is compromised. Prefer job-level least-privilege permissions.

.github/workflows/release.yml CI/CD securitySupply chainGithub actions

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