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.
Sign up free Scan another repo

shashank42/right-answers-rag

https://github.com/shashank42/right-answers-rag · scanned 2026-06-16 04:38 UTC (1 month, 3 weeks ago)

5 raw signals (0 security + 5 graph)

File as issue Image
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 3 weeks ago · v1 · 5 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
70.5
/100
Security checks
71
0 findings
System graph
71
66.7% cov · 5 findings
Critical
0
click to filter
Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 1 Medium 2 Low 2 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 5 Crowd 0 Layer: Security 1 Quality 4

All 34 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
.env.example software healthy .env.example
test-on-gpu.sh software healthy test-on-gpu.sh
CLAUDE.md software healthy CLAUDE.md
DESIGN.md software healthy DESIGN.md
ragas-on-gpu.sh software healthy ragas-on-gpu.sh
test-jepa-on-gpu.sh software healthy test-jepa-on-gpu.sh
ARCHITECTURAL_REVIEW.md software healthy ARCHITECTURAL_REVIEW.md
bench-results-finetuned-bge-m3.json software healthy bench-results-finetuned-bge-m3.json
PROGRESS.md software healthy PROGRESS.md
AUSTRALIAN_LEGAL_SOURCES.md software healthy AUSTRALIAN_LEGAL_SOURCES.md
IMPLEMENTATION.md software healthy IMPLEMENTATION.md
README.md software healthy README.md
test-bge-finetune-on-gpu.sh software healthy test-bge-finetune-on-gpu.sh
gameplan_grok.md software healthy gameplan_grok.md
docker-compose.yml software healthy docker-compose.yml
graph-diagnostic-on-gpu.sh software healthy graph-diagnostic-on-gpu.sh
deploy.sh software healthy deploy.sh
gameplan_gemini.md software healthy gameplan_gemini.md
POST_UPDATE.md software healthy POST_UPDATE.md
CLAUDE.md quality healthy CLAUDE.md

LabelLayerStatusPath
port:6333 network healthy test-on-gpu.sh
port:6334 network healthy test-on-gpu.sh
port:8417 network healthy deploy.sh
port:8080 network healthy deploy.sh

LabelLayerStatusPath
127.0.0.1 network healthy .env.example
20.118.226.175 network healthy .env.example

LabelLayerStatusPath
auth::CLAUDE.md security healthy CLAUDE.md
auth::README.md security healthy README.md

LabelLayerStatusPath
shashank42__right-answers-rag software healthy /data/fable5_failed_archive/shashank42__right-answers-rag

LabelLayerStatusPath
sqlite data healthy CLAUDE.md

LabelLayerStatusPath
nginx network healthy CLAUDE.md

LabelLayerStatusPath
qdrant hardware healthy docker-compose.yml

LabelLayerStatusPath
gpu (detected) hardware healthy .env.example

LabelLayerStatusPath
vps::azure hardware healthy .env.example
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/a661ae4a-7027-4af6-b3a0-8a49aebd625e/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/a661ae4a-7027-4af6-b3a0-8a49aebd625e/

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.