aviruthiamsa-ard/CSI-300-ML-Based-Index-Enhancement-Strategy

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aviruthiamsa-ard/CSI-300-ML-Based-Index-Enhancement-Strategy

https://github.com/aviruthiamsa-ard/CSI-300-ML-Based-Index-Enhancement-Strategy.git · scanned 2026-05-26 07:33 UTC (1 week, 3 days ago) · 10 languages

19 findings (5 legacy + 14 scanner) 11/13 scanners ran 74th percentile · Python · tiny (<2K LoC) Scanner says 87 (lower by 16)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 3 days ago · v2 · 12 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	40.0	0.15	6.00
`security_score`	100.0	0.25	25.00
`testing_score`	70.0	0.20	14.00
`documentation_score`	54.0	0.15	8.10
`practices_score`	70.0	0.15	10.50
`code_quality`	80.0	0.10	8.00
Overall		1.00	71.6

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 1 Medium 4 Low 4 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 5 9-layer 7 Crowd 0 Layer: Quality 6 Software 2 Api 1 Frontend 1 Security 1 Cicd 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 87.1/100 with 66.7% coverage. It contains 19 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 7 findings — concentrated in software (2), api (1), frontend (1). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 9 of 12 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

low Legacy quality quality conf 1.00 ✓ Repobility [MINED001] Bare Except Pass: except: pass or except Exception: pass — silently swallows everything including KeyboardInterrupt and bugs.

Review and fix per the pattern semantics. See CWE-755 / for context.

scratch_generate_charts.py:20 qualitylegacy

medium Legacy quality error_handling conf 1.00 [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides bugs. Even in cleanup code, log at DEBUG level.

Log the error: `except Exception: logger.debug('cleanup failed', exc_info=True)`. Or handle specific exception types.

scratch_generate_charts.py:20 error_handlinglegacy

high Legacy quality quality conf 1.00 ✓ Repobility [MINED111] Bare except continues silently: Bare `except:` (or `except Exception:`) that runs code without re-raising or logging the exception. Hides real failures and makes bugs hard to diagnose.

Either narrow the exception type, log the exception with `logger.exception(...)`, or re-raise after handling.

ml_enhanced_multi_factor_strategy/strategy3.py:268 qualitylegacy

medium 9-layer security coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). Either auth lives in custom code, in a separate service, or is missing.

coverageauth

medium 9-layer cicd coverage 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.

coverage

medium 9-layer quality tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 6 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

testscoverage

low Legacy quality documentation No LICENSE file

Add a LICENSE file to your repository. Use choosealicense.com to pick the right license (MIT for permissive, Apache 2.0 for patent protection, GPL for copyleft).

documentationlegacy

low 9-layer software dead-code-candidate conf 1.00 File has no detected symbols: scratch_generate_charts.py

Source file with no class/function declarations — possible config, dead code, or scratch file.

dead-code-candidate

low 9-layer software dead-code conf 1.00 Possibly dead Python function: objective

No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.

ml_enhanced_multi_factor_strategy/strategy3.py:385 dead-code

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