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liranfeder-tech/ai_council

https://github.com/liranfeder-tech/ai_council · scanned 2026-06-16 04:31 UTC (2 months ago)

23 raw signals (0 security + 23 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 21 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.

JSON
Combined
95.7
/100
Security checks
96
0 findings
System graph
96
55.6% cov · 21 findings
Critical
0
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Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 5 Low 12 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 21 Crowd 0 Layer: Software 6 Cicd 1 Quality 14
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Scan summary Repository scanned at 95.7/100 with 55.6% coverage. It contains 178 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 23 findings — concentrated in quality (16), software (6), cicd (1). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 17 of 21 actionable findings. 23 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 Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: license, ci, tests, operator-readme. 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 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 Placeholder conf 1.00 Placeholder or mock-heavy implementation detected
Found 16 placeholder/mock markers across 3 source files. This often means the repo looks complete while core flows still use generated scaffolding or fake data.
Mock dataIncompleteGenerated repo pattern
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 12 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
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: ai_factory.py:call_model_with_citations, ai_factory.py:call_model 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.
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 Docs conf 1.00 No README detected
No README file was found. Generated repos without README context are hard to operate, validate, or safely hand off.
ReadmeRepo hardeningGenerated repo pattern
low System graph software Dead code conf 1.00 Possibly dead Python function: check_usage_limit
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
history_manager.py:365
low System graph software Dead code conf 1.00 Possibly dead Python function: footer
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
report_generator.py:338
low System graph software Dead code conf 1.00 Possibly dead Python function: render_chip
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
app.py:1274
low System graph software Dead code conf 1.00 Possibly dead Python function: stage1_cb
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
app.py:2446
low System graph software Dead code conf 1.00 Possibly dead Python function: stage2_cb
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
app.py:2461
low System graph software Dead code conf 1.00 Possibly dead Python function: validate_api_key
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
ai_factory.py:347
low System graph quality Complexity conf 1.00 Very large file: app.py (2758 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
low System graph quality Complexity conf 1.00 Very large file: glossary.py (2027 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
low System graph quality Complexity conf 1.00 Very large file: logic_engine.py (1420 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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