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ViktorAlm/AlmRecorder

https://github.com/ViktorAlm/AlmRecorder · scanned 2026-06-16 00:50 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.

JSON
Combined
86.9
/100
Security checks
87
0 findings
System graph
87
77.8% cov · 14 findings
Critical
0
click to filter
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 6 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 14 Crowd 0 Layer: Software 2 Frontend 1 Security 1 Cicd 1 Quality 9
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Scan summary Repository scanned at 86.9/100 with 77.8% coverage. It contains 374 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 16 findings — concentrated in quality (9), software (4), 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 12 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 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 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 Integrity conf 1.00 Network/subprocess call without timeout or try/except — Scripts/convert_pyannote_authenticated.py:150
`subprocess.run(...)` here lacks both a `timeout=` arg and an enclosing try/except. This is exactly the class of bug that took down our git-clone earlier (HTTP/2 stream cancel surfaced as a fatal). Add a `timeout=` and wrap in try/except, or use a wrapper that retries.
runtime safetyRobustness
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
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 6 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
low System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.
Repo hardeningGenerated repo pattern
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 226 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 Integrity conf 1.00 Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: Scripts/convert_pyannote_authenticated.py:main, Scripts/convert_pyannote_to_coreml.py:main 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 software Dead code conf 1.00 Possibly dead Python function: download_preconverted_model
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
Scripts/convert_pyannote_to_coreml.py:174
low System graph software Dead code conf 1.00 3 occurrences Possibly dead Python function: forward
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
3 files, 3 locations
Scripts/convert_pyannote_authenticated.py:75
Scripts/convert_pyannote_simple.py:54
Scripts/export_pyannote_weights.py:58
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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