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turcinvBenemeat/personal-rag

https://github.com/turcinvBenemeat/personal-rag · scanned 2026-06-16 00:43 UTC (2 months, 1 week ago)

16 raw signals (0 security + 16 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 14 actionable findings from 1 signal source. 2 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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88.9% cov · 14 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 3 Low 8 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 14 Crowd 0 Layer: Software 1 Hardware 3 Frontend 1 Security 1 Quality 8

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 81.3/100 with 88.9% coverage. It contains 241 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 16 findings — concentrated in quality (10), hardware (3), software (1). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 11 of 14 actionable findings. 16 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Agent instructions conf 1.00 Agent instructions exist but release-hardening basics are missing

AI-coder instruction files were found, but the repo is missing license. Treat this as a contract gap: the agent is guided, but the generated output is not yet guarded by the controls that make it repeatable.

Repo hardeningGenerated repo pattern

medium System graph hardware Security conf 1.00 Dockerfile runs as root: Dockerfile

No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.

Container

medium System graph security Coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.

auth

low System graph hardware Coverage conf 1.00 Containers defined but no K8s/orchestration manifest found

Repo has Dockerfiles/compose but no Kubernetes/Nomad manifests. If the target deployment is K8s, the manifests may live in a separate ops repo.

Deployment

low System graph quality Debug conf 1.00 Debug logging residue appears in source files

Found 67 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.

CleanupRepo hardeningGenerated repo pattern

low System graph hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: python:3.10-slim

Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.

Dockerfile:6 containersPinned dependencies

low System graph quality Integrity conf 1.00 3 occurrences Near-duplicate function bodies in 2 places

Functions with the same first-5-line body hash: src/extractor/build_index_documents.py:to_int, src/extractor/build_obsidian_notes.py:to_int This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separat…

3 occurrences

repo-level (3 hits)

duplicatesduplication

low System graph quality License conf 1.00 No license file detected

No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.

Repo hardeningGenerated repo pattern

low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `my_book_v2` in tests/test_extractors.py:152

Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.

old markerDead code

low System graph software Dead code conf 1.00 Possibly dead Python function: emit

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

src/rag/utils.py:120

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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