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mj94ai/label-studio-custom

https://github.com/mj94ai/label-studio-custom · scanned 2026-06-16 02:55 UTC (2 months ago)

52 raw signals (38 security + 14 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v2 · 21 actionable findings from 2 signal sources. 143 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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88.9% cov · 13 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 2 High 4 Medium 6 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 8 System graph 13 Crowd 0 Layer: Quality 12 Security 3 Software 1 Hardware 3 Frontend 1 Cicd 1

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 80.6/100 with 88.9% coverage. It contains 56 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 14 findings — concentrated in quality (5), hardware (4), security (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 19 of 21 actionable findings. 164 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 11 occurrences Foundry mined mock as real or placeholder: mj94ai/label-studio-custom

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…

11 occurrences

repo-level (11 hits)

critical Security checks security auth conf 0.78 3 occurrences Foundry mined security auth guardrail gaps: mj94ai/label-studio-custom

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…

3 occurrences

repo-level (3 hits)

high Security checks quality Practices conf 0.84 7 occurrences Foundry mined bad chains: mj94ai/label-studio-custom

Comment chain pattern product: bad_chains Repo: mj94ai/label-studio-custom Thread: mj94ai/label-studio-custom#35 Outcome: not_resolved_or_not_observed Thread label: thread_has_human_issue_without_fix_context Source graph label: source_backed_multi_signal_graph Reasons: source_graph_has_real_artifac…

7 occurrences

repo-level (7 hits)

high Security checks quality Practices conf 0.80 Foundry mined docs only runtime fix: mj94ai/label-studio-custom

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 29 occurrences Foundry mined schema ui api mismatch: mj94ai/label-studio-custom

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: needs_more_evidence Repo: mj94ai/labe…

29 occurrences

repo-level (29 hits)

high Security checks quality Testing conf 0.78 26 occurrences Foundry mined test ci gap after feedback: mj94ai/label-studio-custom

Graph query export: Feedback exposes missing tests or CI Query id: test_ci_gap_after_feedback Query type: motif_query Intent: Hard negatives for feedback/fix chains without adequate guardrails. Motif: test_ci_gap_after_feedback Training usage: hard_negative Graph gold label: weak_supervision_needs_…

26 occurrences

repo-level (26 hits)

medium Security checks quality Practices conf 0.62 68 occurrences Foundry mined assumption checks: mj94ai/label-studio-custom

Comment chain pattern product: assumption_checks Repo: mj94ai/label-studio-custom Thread: mj94ai/label-studio-custom#93 Outcome: ambiguous_needs_more_evidence Thread label: thread_needs_classification Source graph label: source_backed_multi_signal_graph Reasons: source_graph_has_real_artifacts, sou…

68 occurrences

repo-level (68 hits)

medium Security checks quality Practices conf 0.70 5 occurrences Foundry mined unresolved feedback: mj94ai/label-studio-custom

Graph query export: Human feedback without linked fix evidence Query id: unresolved_feedback Query type: motif_query Intent: Negative/unresolved examples that should not be hallucinated into fixes. Motif: unlinked_feedback_needs_evidence Training usage: negative_or_unresolved Graph gold label: need…

5 occurrences

repo-level (5 hits)

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, 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 security security conf 1.00 Insecure pattern 'cors_wildcard' in cors_server.py:8

Found a known-risky pattern (cors_wildcard). Review and replace if possible.

cors_server.py:8 Cors wildcard

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

low System graph quality Production readiness conf 1.00 Composite production-readiness gap

Multiple low-cost hardening controls are missing together: ci, operator-readme. 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 hardware Coverage conf 1.00 Containers defined but no K8s/orchestration manifest found

Repo has Dockerfiles/compose but no Kubernetes/Nomad manifests. If the target deployment is K8s, the manifests may live in a separate ops repo.

Deployment

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

Found 40 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 hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: node:22-slim

Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.

Dockerfile:2 containersPinned dependencies

low System graph hardware Supply chain conf 1.00 2 occurrences Docker base image is tag-pinned but not digest-pinned: python:3.12-slim

Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.

lines 34, 54

Dockerfile:34, 54 (2 hits)

containersPinned dependencies

low System graph software Dead code conf 1.00 Possibly dead Python function: do_OPTIONS

No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.

cors_server.py:13

low System graph quality Docs conf 1.00 README lacks setup or run instructions

A README exists, but it does not contain common install/setup/run markers. This matches a frequent generated-code pattern: UI is present, operational handoff is thin.

ReadmeRepo hardeningGenerated repo pattern

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