Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.

onjoroge1/BetGeniusAI

https://github.com/onjoroge1/BetGeniusAI · scanned 2026-06-16 04:36 UTC (1 month, 3 weeks ago)

68 raw signals (0 security + 68 graph)

File as issue Image

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 3 weeks ago · v1 · 51 actionable findings from 1 signal source. 17 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON

77.8% cov · 51 findings

Severity distribution — click a segment to filter

Active filters: severity: medium × excluding tests × Reset all

Severity: Critical 5 High 0 Medium 7 Low 37 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 51 Crowd 0 Layer: Software 17 Security 8 Quality 26

Exclude dismissed / FP Exclude test files

Corpus Intelligence Cross-corpus context (cohort percentile, top patterns, fix plan) is shown only on repositories you own. Sign up and connect your repo to view it.

Scan summary Repository scanned at 81.5/100 with 77.8% coverage. It contains 2203 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 68 findings — concentrated in quality (43), software (17), security (8). Risk profile is high: 5 critical, 0 high, 7 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 7 of 51 actionable findings. 68 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 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 security conf 1.00 Insecure pattern 'cors_wildcard' in main.py:284

Found a known-risky pattern (cors_wildcard). Review and replace if possible.

main.py:284 Cors wildcard

medium System graph security security conf 1.00 Insecure pattern 'cors_wildcard' in main_backup_20250731_183736.py:39

Found a known-risky pattern (cors_wildcard). Review and replace if possible.

main_backup_20250731_183736.py:39 Cors wildcard

medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in clv_frontend_demo.html:456

Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.

clv_frontend_demo.html:456 Direct innerhtml assignment

medium System graph quality Integrity conf 1.00 Network/subprocess call without timeout or try/except — run_training.py:62

`subprocess.Popen(...)` here lacks both a `timeout=` arg and an enclosing try/except. This is exactly the class of bug that took down our git-clone earlier (HTTP/2 stream cancel surfaced as a fatal). Add a `timeout=` and wrap in try/except, or use a wrapper that retries.

runtime safetyRobustness

medium System graph quality Placeholder conf 1.00 Placeholder or mock-heavy implementation detected

Found 12 placeholder/mock markers across 11 source files. This often means the repo looks complete while core flows still use generated scaffolding or fake data.

Mock dataIncompleteGenerated repo pattern

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

14 test file(s) for 158 source file(s) (ratio 0.09). Consider adding integration or unit tests for critical paths.

Coverage

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

For AI agents + API integrations

Email me when this repo regresses

Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.

API access

This page is publicly accessible at: https://repobility.com/scan/797f7558-a1f1-4942-89e5-f12eff97cc8d/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/797f7558-a1f1-4942-89e5-f12eff97cc8d/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.