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RyanAlberts/ai-native-business-apps

https://github.com/RyanAlberts/ai-native-business-apps · scanned 2026-06-15 23:57 UTC (2 months, 3 weeks ago)

30 raw signals (0 security + 30 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 27 actionable findings from 1 signal source. 3 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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Scan summary Repository scanned at 79.9/100 with 66.7% coverage. It contains 610 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 30 findings — concentrated in quality (24), cicd (3), software (2). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 16 of 27 actionable findings. 30 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 authority lacks a verifier contract: .claude/settings.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.json VerificationClaude instruction
medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: .cursorrules
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.
.cursorrules VerificationCursor rule
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 quality Placeholder conf 1.00 Placeholder or mock-heavy implementation detected
Found 69 placeholder/mock markers across 23 source files. This often means the repo looks complete while core flows still use generated scaffolding or fake data.
Mock dataIncompleteGenerated repo pattern
low System graph quality Integrity conf 1.00 7 env vars used in code but missing from .env.example
Drift between code and config docs. The first few: `ALLOW_API_KEY`, `ANTHROPIC_API_KEY`, `GOOGLE_API_KEY`, `KEEL_COMPANY`, `KEEL_PERMISSION_MODE`, `OPENAI_API_KEY`, `XAI_API_KEY`. Add them (with a placeholder/comment) to .env.example so onboarding doesn't break.
config drift
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 55 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 cicd CI/CD security conf 1.00 3 occurrences GitHub Action is tag-pinned rather than SHA-pinned
actions/setup-python@v5 can move without a code change in this repo. Pin third-party actions to a reviewed 40-character commit SHA.
lines 22, 43, 68
.github/workflows/ci.yml:22, 43, 68 (3 hits)
CI/CD securitySupply chainGithub actions
low System graph quality Tests conf 1.00 Low test-to-source ratio
13 tests / 104 src (ratio 0.12).
low System graph quality Agent instructions conf 1.00 Multiple root agent instruction files without precedence
The repo has multiple top-level AI-coder instruction files. Without precedence rules, different agents may follow different policies.
Governance
low System graph quality Integrity conf 1.00 2 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: core/artifacts.py:write, core/artifacts.py:write 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.
2 occurrences
repo-level (2 hits)
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 6 places
Functions with the same first-5-line body hash: starter_business_agents/bank_insurance_agent/tools.py:all_tools, starter_business_agents/loan_application_agent/tools.py:all_tools, advanced_business_agents/multi_agent_apps/supplier_sourcing_team/tools.py:all_tools, advanced_business_agents/multi_age…
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 7 places
Functions with the same first-5-line body hash: core/llm/openai.py:complete, core/llm/codex.py:complete, core/llm/gemini.py:complete, core/llm/xai.py:complete This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document …
duplicatesduplication
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `test_dict_input_passes_through_as_copy` in core/tests/test_parse_tool_args.py:53
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: run_text
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
advanced_business_agents/multi_agent_apps/trademark_search_team/agent.py:124
low System graph software Dead code conf 1.00 Possibly dead Python function: run_text
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
advanced_business_agents/multi_agent_apps/business_plan_implementation_manager/agent.py:77
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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