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google-research

https://github.com/google-research/google-research.git · scanned 2026-05-16 13:30 UTC (1 day, 6 hours ago) · 10 languages

57 findings 8/10 scanners ran 54th percentile · Python · medium (20-100K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

51 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

Combined
46.7
/100
Repobility
47
51 legacy
9-layer
—
—% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 40.0 0.15 6.00
security_score 55.5 0.25 13.88
testing_score 13.0 0.20 2.60
documentation_score 65.0 0.15 9.75
practices_score 30.0 0.15 4.50
code_quality 80.0 0.10 8.00
Overall 1.00 44.7
Calibrated penalty buckets (security_score): threat: 44.6
security_score may be inflated — optional scanners skipped due to repo size/fast scan
Severity distribution — click a segment to filter
Active filters: layer: quality × excluding tests × Reset all
Severity: Critical 0 High 6 Medium 14 Low 31 Source: Legacy 51 9-layer 0 Crowd 0 Layer: Quality 34 Security 16 Software 1

Showing 34 of 51 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality practices conf 1.00 [CFG006] Missing .gitignore: No .gitignore file. Risk of committing secrets and build artifacts.
Add a .gitignore appropriate for your language/framework.
practiceslegacy
medium Legacy quality practices No CI/CD configuration found
Add a CI/CD pipeline: create .github/workflows/ci.yml for GitHub Actions with steps to lint, test, and build on every push and pull request.
practiceslegacy
medium Legacy quality quality conf 0.82 Parallel implementation file sits beside a canonical file
Merge the intended change into the canonical file, update tests/imports, and delete the parallel implementation if it is not the active entry point.
CardBench_zero_shot_cardinality_training/generate_queries_library/query_generator_v2.py:1 qualitylegacy
low Legacy quality quality conf 0.64 Duplicate top-level symbol appears in a patch-style file
Keep one authoritative implementation, update imports to point at it, and remove or rename the duplicate symbol.
CardBench_zero_shot_cardinality_training/generate_queries_library/query_generator_v2.py:1 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
CardBench_zero_shot_cardinality_training/generate_queries_library/generate_queries_and_save_to_file_helpers.py:7 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
CardBench_zero_shot_cardinality_training/calculate_statistics_library/calculate_and_write_unique_values.py:3 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
CardBench_zero_shot_cardinality_training/calculate_statistics_library/calculate_and_write_percentiles.py:2 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
CardBench_zero_shot_cardinality_training/calculate_statistics_library/calculate_and_write_pearson_correlation.py:181 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/utils_transformer.py:25 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rmsn.py:199 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rep_est/rep_est.py:233 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rep_est/rep_est.py:84 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rep_est/moco.py:46 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rep_est/ct.py:15 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rep_est/CT_utils/encoder.py:104 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/rep_est/CT_utils/encoder.py:11 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/gnet.py:28 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/edct.py:135 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/models/ct.py:113 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/src/data/mimic_iii/load_data.py:10 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_rmsn.py:16 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_rep_est.py:39 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_rep_est.py:34 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_multi.py:66 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_multi.py:56 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_msm.py:40 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_msm.py:36 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
COSTAR/runnables/train_gnet.py:56 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/bag_size_4/small_margin_4-sized_LLP-LTF.py:57 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/bag_size_4/small_margin_4-sized_LLP-LTF.py:8 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/bag_size_4/small_margin_4-sized_LLP-LTF.py:2 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/bag_size_4/processing_results_4_sized.py:4 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/bag_size_4/large_margin_4-sized_LLP_LTF.py:2 qualitylegacy
low Legacy quality quality conf 0.86 Duplicated implementation block across source files
Extract the shared behavior into one function/module or delete the inactive duplicate after proving which path is used.
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/bag_size_3/small_margin_3-sized_LLP-LTF.py:2 qualitylegacy
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