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Scan timing: clone 5.77s · analysis 17.06s · 7.4 MB · GitHub preflight 406ms

rasbt/LLMs-from-scratch

https://github.com/rasbt/LLMs-from-scratch · scanned 2026-06-05 06:49 UTC (6 days, 1 hour ago) · 10 languages

600 raw signals (262 security + 338 graph) 43rd percentile · Python · medium (20-100K LoC) System graph score 77 (lower by 17)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 6 days, 1 hour ago · v2 · 242 actionable findings from 2 signal sources. 189 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
65.4
/100
Security checks
54
121 findings
System graph
77
88.9% cov · 121 findings
Critical
3
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 16.0 0.25 4.00
testing_score 97.0 0.20 19.40
documentation_score 65.0 0.15 9.75
practices_score 77.0 0.15 11.55
code_quality 28.0 0.10 2.80
Overall 1.00 60.2
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 3 High 93 Medium 34 Low 55 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 121 System graph 121 Crowd 0 Layer: Software 69 Cicd 6 Security 57 Quality 104 Api 1 Hardware 4 Frontend 1

Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.

#1
Insecure pattern 'eval_used' in ch06/04_user_interface/app.py:59
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/04_user_interface/app.py:59
#2
Insecure pattern 'eval_used' in ch06/03_bonus_imdb-classification/train_gpt.py:83
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/03_bonus_imdb-classification/train_gpt.py:83
#3
Insecure pattern 'eval_used' in ch06/03_bonus_imdb-classification/train_gpt_muon.py:83
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/03_bonus_imdb-classification/train_gpt_muon.py:83
#4
Insecure pattern 'eval_used' in ch06/03_bonus_imdb-classification/train_bert_hf.py:102
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/03_bonus_imdb-classification/train_bert_hf.py:102
#5
Insecure pattern 'eval_used' in ch06/03_bonus_imdb-classification/train_bert_hf_spam.py:199
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/03_bonus_imdb-classification/train_bert_hf_spam.py:199
#6
Insecure pattern 'eval_used' in ch06/01_main-chapter-code/gpt_class_finetune.py:127
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/01_main-chapter-code/gpt_class_finetune.py:127
#7
Insecure pattern 'eval_used' in ch06/02_bonus_additional-experiments/additional_experiments.py:193
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch06/02_bonus_additional-experiments/additional_experiments.py:193
#8
Insecure pattern 'eval_used' in ch04/05_mla/gpt_with_kv_mha.py:255
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch04/05_mla/gpt_with_kv_mha.py:255
#9
Insecure pattern 'eval_used' in ch04/05_mla/gpt_with_kv_mla.py:263
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch04/05_mla/gpt_with_kv_mla.py:263
#10
Insecure pattern 'eval_used' in ch04/04_gqa/gpt_with_kv_mha.py:255
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
ch04/04_gqa/gpt_with_kv_mha.py:255

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