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techlawyer19/citation-reality-check

https://github.com/techlawyer19/citation-reality-check · scanned 2026-06-16 00:31 UTC (2 months, 2 weeks ago)

15 raw signals (6 security + 9 graph)

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Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 15 actionable findings from 2 signal sources. 4 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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66.7% cov · 9 findings

Severity distribution — click a segment to filter

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Severity: Critical 1 High 2 Medium 5 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 6 System graph 9 Crowd 0 Layer: Quality 11 Security 2 Frontend 1 Cicd 1

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 97.8/100 with 66.7% coverage. It contains 96 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 9 findings — concentrated in quality (6), frontend (1), security (1). Risk profile is low: 0 critical, 0 high, 2 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 11 of 15 actionable findings. 19 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.

critical Security checks security auth conf 0.78 Foundry mined security auth guardrail gaps: techlawyer19/citation-reality-check

Graph query export: Security/auth changes without enough guardrails Query id: security_auth_guardrail_gaps Query type: motif_query Intent: Assumption-check security/auth examples requiring stronger tests or CI. Motif: security_auth_without_guardrails Training usage: assumption_check Graph gold labe…

high Security checks quality Practices conf 0.80 Foundry mined docs only runtime fix: techlawyer19/citation-reality-check

Graph query export: Docs-only response to runtime or integration issue Query id: docs_only_runtime_fix Query type: motif_query Intent: Assumption-check examples where docs or claims are not enough proof. Motif: docs_only_runtime_fix Training usage: assumption_check Graph gold label: supported_by_ve…

high Security checks quality Quality conf 0.76 Foundry mined schema ui api mismatch: techlawyer19/citation-reality-check

Graph query export: Schema, UI, and API mismatch Query id: schema_ui_api_mismatch Query type: motif_query Intent: Assumption-check examples for data-path consistency across layers. Motif: schema_ui_api_mismatch Training usage: assumption_check Graph gold label: supported_by_verification_signal Repo…

medium Security checks quality Practices conf 0.62 5 occurrences Foundry mined assumption checks: techlawyer19/citation-reality-check

Comment chain pattern product: assumption_checks Repo: techlawyer19/citation-reality-check Thread: techlawyer19/citation-reality-check#7 Outcome: claimed_resolved_unverified Thread label: thread_has_human_issue_and_fix_context Source graph label: source_backed_multi_signal_graph Reasons: source_gra…

5 occurrences

repo-level (5 hits)

medium Security checks quality maintenance conf 0.70 Foundry mined blueprint gap alignment: techlawyer19/citation-reality-check

Graph query export: Human feedback aligned with blueprint or architecture gaps Query id: blueprint_gap_alignment Query type: motif_query Intent: Curriculum-gap examples connecting issue threads to helicopter-view gaps. Motif: blueprint_gap_alignment Training usage: curriculum_gap Graph gold label: …

medium Security checks quality Practices conf 0.70 Foundry mined unresolved feedback: techlawyer19/citation-reality-check

Graph query export: Human feedback without linked fix evidence Query id: unresolved_feedback Query type: motif_query Intent: Negative/unresolved examples that should not be hallucinated into fixes. Motif: unlinked_feedback_needs_evidence Training usage: negative_or_unresolved Graph gold label: need…

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

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

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

Functions with the same first-5-line body hash: app.py:extract_citation_rows_from_sources, app.py:extract_citation_rows 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 separate.

duplicatesduplication

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

low System graph quality Integrity conf 1.00 Stub function `raise_for_status` (body is just `pass`/`return`) — test_app.py:30

Likely an AI scaffold that was never filled in. Remove or implement.

Empty handlerDead code

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