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vornicx/Midas

https://github.com/vornicx/Midas · scanned 2026-06-16 00:52 UTC (2 months, 1 week ago)

32 raw signals (8 security + 24 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 25 actionable findings from 2 signal sources. 20 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
99.3
/100
Security checks
99
7 findings
System graph
99
77.8% cov · 18 findings
Critical
2
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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 2 High 3 Medium 3 Low 12 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 7 System graph 18 Crowd 0 Layer: Quality 18 Security 1 Software 5 Frontend 1
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Scan summary Repository scanned at 99.3/100 with 77.8% coverage. It contains 709 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 24 findings — concentrated in quality (18), software (5), frontend (1). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 20 of 25 actionable findings. 45 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.

critical Security checks quality Practices conf 0.82 3 occurrences Foundry mined mock as real or placeholder: vornicx/Midas
Graph query export: Mock, sample, placeholder, or self-attested behavior treated as real Query id: mock_as_real_or_placeholder Query type: motif_query Intent: Hard negatives for fake completeness and missing real data paths. Motif: mock_as_real_or_placeholder Training usage: hard_negative Graph gol…
3 occurrences
repo-level (3 hits)
critical Security checks security auth conf 0.78 Foundry mined security auth guardrail gaps: vornicx/Midas
Graph query export: Security/auth changes without enough guardrails Query id: security_auth_guardrail_gaps Query type: motif_query Intent: Assumption-check security/auth examples requiring stronger tests or CI. Motif: security_auth_without_guardrails Training usage: assumption_check Graph gold labe…
high Security checks quality Practices conf 0.84 3 occurrences Foundry mined bad chains: vornicx/Midas
Comment chain pattern product: bad_chains Repo: vornicx/Midas Thread: vornicx/Midas#9 Outcome: self_attested_unverified Thread label: thread_has_human_issue_and_fix_context Source graph label: source_artifact_without_verification_graph Reasons: source_graph_has_real_artifacts, link_quality_weak_sup…
3 occurrences
repo-level (3 hits)
high Security checks quality Practices conf 0.80 Foundry mined docs only runtime fix: vornicx/Midas
Graph query export: Docs-only response to runtime or integration issue Query id: docs_only_runtime_fix Query type: motif_query Intent: Assumption-check examples where docs or claims are not enough proof. Motif: docs_only_runtime_fix Training usage: assumption_check Graph gold label: weak_supervisio…
high Security checks quality Quality conf 0.76 Foundry mined schema ui api mismatch: vornicx/Midas
Graph query export: Schema, UI, and API mismatch Query id: schema_ui_api_mismatch Query type: motif_query Intent: Assumption-check examples for data-path consistency across layers. Motif: schema_ui_api_mismatch Training usage: assumption_check Graph gold label: weak_supervision_needs_review Repo: v…
medium Security checks quality Practices conf 0.62 10 occurrences Foundry mined assumption checks: vornicx/Midas
Comment chain pattern product: assumption_checks Repo: vornicx/Midas Thread: vornicx/Midas#8 Outcome: claimed_resolved_unverified Thread label: thread_has_human_issue_and_fix_context Source graph label: source_artifact_without_verification_graph Reasons: source_graph_has_real_artifacts, link_qualit…
10 occurrences
repo-level (10 hits)
medium Security checks quality maintenance conf 0.70 2 occurrences Foundry mined blueprint gap alignment: vornicx/Midas
Graph query export: Human feedback aligned with blueprint or architecture gaps Query id: blueprint_gap_alignment Query type: motif_query Intent: Curriculum-gap examples connecting issue threads to helicopter-view gaps. Motif: blueprint_gap_alignment Training usage: curriculum_gap Graph gold label: …
2 occurrences
repo-level (2 hits)
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
low System graph quality Integrity conf 1.00 23 env vars used in code but missing from .env.example
Drift between code and config docs. The first few: `JUDGE_MODEL`, `JUDGE_PROVIDER`, `MEM0_LLM_PROVIDER`, `MEM0_MODEL`, `MIDAS_CACHE_ROOT`, `MIDAS_DEMO_EMBEDDER`, `MIDAS_EMBED_CACHE`, `MIDAS_MCP_ACTOR` + 15 more. 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 115 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 6 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: midas/mcp_server.py:maintain, midas/mcp_server.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.
6 occurrences
repo-level (6 hits)
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 3 places
Functions with the same first-5-line body hash: midas/distill.py:distill, midas/distill.py:distill, midas/distill.py:distill 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 Integrity conf 1.00 2 occurrences Near-duplicate function bodies in 5 places
Functions with the same first-5-line body hash: midas/embeddings.py:embed, midas/embeddings.py:embed, midas/embeddings.py:embed, midas/embeddings.py:embed 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 …
2 occurrences
repo-level (2 hits)
duplicatesduplication
low System graph software Dead code conf 1.00 Possibly dead Python function: abatch
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
midas/integrations/langgraph_store.py:78
low System graph software Dead code conf 1.00 Possibly dead Python function: category_breakdown_table
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval/runner.py:312
low System graph software Dead code conf 1.00 Possibly dead Python function: decide
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
midas/guard.py:107
low System graph software Dead code conf 1.00 Possibly dead Python function: recall_confidence
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
midas/memory.py:764
low System graph software Dead code conf 1.00 Possibly dead Python function: work
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval/multiday.py:147
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: midas/memory.py (1417 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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