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tharunkshathriya/holdline-ai

https://github.com/tharunkshathriya/holdline-ai · scanned 2026-06-16 00:33 UTC (2 months, 2 weeks ago)

12 raw signals (0 security + 12 graph)

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Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 12 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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66.7% cov · 12 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 5 Low 4 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 12 Crowd 0 Layer: Frontend 2 Security 1 Cicd 1 Quality 8

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 92.1/100 with 66.7% coverage. It contains 68 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 12 findings — concentrated in quality (8), frontend (2), security (1). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 9 of 12 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 Production readiness conf 1.00 Composite production-readiness gap

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

Repo hardeningGenerated repo pattern

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 security Coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.

auth

medium System graph cicd CI/CD security conf 1.00 No CI/CD pipelines detected

No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.

CI/CD securityCoverage

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

1 test file(s) for 13 source file(s) (ratio 0.08). Consider adding integration or unit tests for critical paths.

Coverage

low System graph quality Debug conf 1.00 Debug logging residue appears in source files

Found 6 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.

CleanupRepo hardeningGenerated repo pattern

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

low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence

The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.

Git historyGenerated repo pattern

low System graph frontend Frontend quality conf 1.00 Stray `console.log` in TS/JS — scripts/test-policy.ts:61

Replace with the toast helper, an error boundary, or remove. `console.warn` / `console.error` are acceptable. Why: Hygiene — easy to leak debug output. Rule id: fq.console-leak

Fq console leak

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