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SayantaniNath/Databricks_Session_02

https://github.com/SayantaniNath/Databricks_Session_02 · scanned 2026-06-16 00:03 UTC (2 months, 3 weeks ago)

8 raw signals (0 security + 8 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 8 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Scan summary Repository scanned at 82.7/100 with 44.4% coverage. It contains 25 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 8 findings — concentrated in software (3), quality (3), frontend (1). Risk profile is low: 0 critical, 0 high, 2 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 6 of 8 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph cicd CI/CD security 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.
CI/CD securityCoverage
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 1 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
low System graph software Dead code conf 1.00 Possibly dead Python function: top_k_frequent
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
interview_prep/neetcode_practice.py:81
low System graph software Dead code conf 1.00 Possibly dead Python function: top_k_frequent_bucket
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
interview_prep/neetcode_practice.py:104
low System graph software Dead code conf 1.00 Possibly dead Python function: top_k_frequent_counter
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
interview_prep/neetcode_practice.py:94
low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence
The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.
Git historyGenerated repo pattern
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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