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

evandugas/TML4-Pipeline

https://github.com/evandugas/TML4-Pipeline · scanned 2026-06-16 04:22 UTC (2 months ago)

12 raw signals (0 security + 12 graph)

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

Complete repo analysis

Last scanned 2 months 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.

JSON
Combined
54.2
/100
Security checks
54
0 findings
System graph
54
22.2% cov · 12 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 0 Medium 2 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 12 Crowd 0 Layer: Software 8 Quality 4

All 32 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
generate software healthy sample_data.py:14
_fmt software healthy m6_report.py:29
build_table software healthy m6_report.py:35
to_pdf software dead m6_report.py:44
evaluate software healthy m5_evaluate.py:27
build_machine software healthy pipeline.py:29
train software healthy pipeline.py:54
save_machine software healthy pipeline.py:60
load_machine software healthy pipeline.py:65
identity software dead m3_feature_map.py:28
pca software dead m3_feature_map.py:33
random_forest software dead m4_ml.py:23
svm_rbf software dead m4_ml.py:27
gradient_boosting software dead m4_ml.py:32
load_arff software healthy convert_leukemia.py:28
identity software dead m2_preprocess.py:24
standardize software dead m2_preprocess.py:29
_split_xy software healthy m1_loader.py:25
from_file software healthy m1_loader.py:33
from_synthetic software healthy m1_loader.py:42

LabelLayerStatusPath
sample_data.py software healthy sample_data.py
m6_report.py software healthy m6_report.py
m5_evaluate.py software healthy m5_evaluate.py
pipeline.py software healthy pipeline.py
m3_feature_map.py software healthy m3_feature_map.py
README.md software healthy README.md
m4_ml.py software healthy m4_ml.py
app.py software healthy app.py
convert_leukemia.py software healthy convert_leukemia.py
m2_preprocess.py software healthy m2_preprocess.py
m1_loader.py software healthy m1_loader.py

LabelLayerStatusPath
evandugas__TML4-Pipeline software healthy /data/fable5_failed_archive/evandugas__TML4-Pipeline
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/a277ef8a-c905-44a5-aba1-e938bcf7d0ad/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/a277ef8a-c905-44a5-aba1-e938bcf7d0ad/

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.