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xqyww123/MLML

https://github.com/xqyww123/MLML · scanned 2026-06-16 04:41 UTC (1 month, 2 weeks ago)

14 raw signals (0 security + 14 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v1 · 14 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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33.3% cov · 14 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 5 Low 9 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 14 Crowd 0 Layer: Software 6 Security 1 Quality 7

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Scan summary Repository scanned at 53.2/100 with 33.3% coverage. It contains 31 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 14 findings — concentrated in quality (7), software (6), security (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 14 of 14 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 instructions exist but release-hardening basics are missing

AI-coder instruction files were found, but the repo is missing ci, tests, operator-readme. 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: 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 Integrity conf 1.00 Network/subprocess call without timeout or try/except — manage_data.py:133

`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 quality Tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 1 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

Coverage

low System graph quality Debug conf 1.00 Debug logging residue appears in source files

Found 41 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 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 software Dead code conf 1.00 Possibly dead Python function: cmd_add