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ryanjsieb30DFS/ryanjsieb30DFS-Analyzer

https://github.com/ryanjsieb30DFS/ryanjsieb30DFS-Analyzer · scanned 2026-06-15 23:58 UTC (2 months, 3 weeks ago)

19 raw signals (0 security + 19 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 19 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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66.7% cov · 19 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 6 Low 9 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 19 Crowd 0 Layer: Software 3 Frontend 1 Security 1 Cicd 1 Quality 13

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 84.6/100 with 66.7% coverage. It contains 315 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 19 findings — concentrated in quality (13), software (3), frontend (1). Risk profile is low: 0 critical, 0 high, 6 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 15 of 19 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 quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: .claude/settings.local.json

This agent instruction grants code or shell authority but does not state the verification gate that decides promotion. The recurring safe pattern is: LLM proposes; deterministic tests/build/security checks verify; only verified code promotes.

.claude/settings.local.json VerificationClaude instruction

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, ci, tests. 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 quality Production readiness conf 1.00 Composite production-readiness gap

Multiple low-cost hardening controls are missing together: license, ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.

Repo hardeningGenerated repo pattern

medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data

A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.

Mock dataCritical flowGenerated repo pattern

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 Debug conf 1.00 Debug logging residue appears in source files

Found 11 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 quality Tests conf 1.00 Low test-to-source ratio

2 tests / 17 src (ratio 0.12).

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

Functions with the same first-5-line body hash: src/dk_ids.py:clear_map, src/contests.py:clear_contests, src/sessions.py:clear 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 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 software Dead code conf 1.00 Possibly dead Python function: is_user_entry

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

src/autopsy.py:109

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

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

src/sim_data.py:106

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

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

src/slate_analysis.py:32

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 Complexity conf 1.00 Very large file: app.py (1441 lines)

Files with >800 lines often hide complexity hotspots and discourage tests.

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