Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.
Sign up free Scan another repo

TACS-UCSC/gust2

https://github.com/TACS-UCSC/gust2 · scanned 2026-06-16 00:28 UTC (2 months, 2 weeks ago)

67 raw signals (0 security + 67 graph)

File as issue Image
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 61 actionable findings from 1 signal source. 6 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
72.8
/100
Security checks
73
0 findings
System graph
73
77.8% cov · 61 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 21 Low 33 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 61 Crowd 0 Layer: Software 15 Network 16 Frontend 1 Security 1 Cicd 1 Quality 27

All 355 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
label_to_params_M software healthy plot_scaling_tempopt.py:53
temp_from_token software healthy plot_scaling_tempopt.py:60
parse_run_name software healthy plot_scaling_tempopt.py:66
fetch software healthy plot_scaling_tempopt.py:84
_panel_lines software healthy plot_scaling_tempopt.py:134
fig_metric_vs_params software healthy plot_scaling_tempopt.py:168
fig_best_temperature software healthy plot_scaling_tempopt.py:186
write_csv software healthy plot_scaling_tempopt.py:213
main software healthy plot_scaling_tempopt.py:224
parse_args software healthy train_nsp.py:51
create_paired_dataloader software healthy train_nsp.py:118
_cast_to_half software healthy train_nsp.py:151
cast software dead train_nsp.py:153
make_compute_loss software healthy train_nsp.py:165
compute_loss software dead train_nsp.py:223
per_sample_forward software dead train_nsp.py:295
make_train_step software healthy train_nsp.py:400
step software healthy train_nsp.py:408
loss_and_grad software healthy train_nsp.py:411
save_checkpoint software healthy train_nsp.py:448
main software healthy train_nsp.py:473
parse_args software healthy train.py:23
plot_reconstruction software healthy train.py:70
plot_codebook_usage software healthy train.py:84
save_checkpoint software healthy train.py:101
load_ema_state software healthy train.py:136
_cast_to_half software healthy train.py:148
cast software dead train.py:150
compute_loss_and_grad software healthy train.py:161
train_step software healthy train.py:170
main software healthy train.py:188
fwd_single software dead train.py:417
load_cfg software healthy analyze_logits_aligned.py:53
build_rows software healthy analyze_logits_aligned.py:58
main software healthy analyze_logits_aligned.py:101
bicubic_resize software healthy vq.py:10
quantize software healthy vq.py:18
__init__ software healthy vq.py:62
__call__ software healthy vq.py:76
init_ema_state software healthy vq.py:127
ema_update software healthy vq.py:139
vqvae_loss software dead vq.py:202
forward_single software dead vq.py:266
vqvae_loss_simple software healthy vq.py:250
fetch_forecast software healthy plot_scaling_forecast.py:44
load_lt_csv software healthy plot_scaling_forecast.py:105
fl software healthy plot_scaling_forecast.py:111
fig_overlay software healthy plot_scaling_forecast.py:130
fig_per_family software healthy plot_scaling_forecast.py:179
write_csv software healthy plot_scaling_forecast.py:246

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

LabelLayerStatusPath
plot_scaling_tempopt.py software healthy plot_scaling_tempopt.py
train_nsp.py software healthy train_nsp.py
train.py software healthy train.py
analyze_logits_aligned.py software healthy analyze_logits_aligned.py
vq.py software healthy vq.py
plot_scaling_forecast.py software healthy plot_scaling_forecast.py
diagnostics_common.py software healthy diagnostics_common.py
analyze_position_ood.py software healthy analyze_position_ood.py
eval_single_step.py software healthy eval_single_step.py
tokenizer.py software healthy tokenizer.py
analyze_best.py software healthy analyze_best.py
CLAUDE.md software healthy CLAUDE.md
analyze_rollout.py software healthy analyze_rollout.py
multitraj_snapshot_grid.py software healthy multitraj_snapshot_grid.py
vit_ae.py software healthy vit_ae.py
plot_scaling_bridges.py software healthy plot_scaling_bridges.py
rollout_nsp.py software healthy rollout_nsp.py
nsp_model.py software healthy nsp_model.py
generate_snapshots.py software healthy generate_snapshots.py
multitraj_survival.py software healthy multitraj_survival.py
visualize_diagnostics.py software healthy visualize_diagnostics.py
plot_scaling.py software healthy plot_scaling.py
requirements.txt software healthy requirements.txt
analyze_forecast.py software healthy analyze_forecast.py
analyze_logits.py software healthy analyze_logits.py
dataloader.py software healthy dataloader.py
sweep_sampling_analysis.sh software healthy scripts/bridges/sweep_sampling_analysis.sh
profile_nsp_memory.py software healthy scripts/bridges/profile_nsp_memory.py
train_single.sh software healthy scripts/bridges/train_single.sh
sweep_codebook.sh software healthy scripts/bridges/sweep_codebook.sh
sweep_rollout.sh software healthy scripts/bridges/sweep_rollout.sh
sweep_dynamics.sh software healthy scripts/bridges/sweep_dynamics.sh
profile_nsp_memory_mock.py software healthy scripts/bridges/profile_nsp_memory_mock.py
sweep_snapshots.sh software healthy scripts/bridges/sweep_snapshots.sh
tokenize_val.sh software healthy scripts/bridges/tokenize_val.sh
sweep_scaling_tempopt_n128.sh software healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
tokenize_all.sh software healthy scripts/bridges/tokenize_all.sh
sweep_temp_rollout.sh software healthy scripts/bridges/sweep_temp_rollout.sh
sweep_sampling_rollout.sh software healthy scripts/bridges/sweep_sampling_rollout.sh
sweep_scaling_forecast.sh software healthy scripts/bridges/sweep_scaling_forecast.sh
sweep_scales.sh software healthy scripts/bridges/sweep_scales.sh
sweep_rollout_scaling.sh software healthy scripts/bridges/sweep_rollout_scaling.sh
submit_visualize.sh software healthy scripts/bridges/submit_visualize.sh
sweep_rollout_train.sh software healthy scripts/bridges/sweep_rollout_train.sh
analyze_best.sh software healthy scripts/bridges/analyze_best.sh
sweep_analysis.sh software healthy scripts/bridges/sweep_analysis.sh
sweep_robust_scaling.sh software healthy scripts/bridges/sweep_robust_scaling.sh
sweep_diagnostics_temp.sh software healthy scripts/bridges/sweep_diagnostics_temp.sh
sweep_nsp_chain.sh software healthy scripts/bridges/sweep_nsp_chain.sh
sweep_nsp.sh software healthy scripts/bridges/sweep_nsp.sh

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

LabelLayerStatusPath
port:12 network healthy scripts/bridges/sweep_codebook.sh
port:30 network healthy scripts/bridges/sweep_snapshots.sh
port:45 network healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
port:1024 network healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
port:16 network healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
port:640 network healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
port:10 network healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
port:768 network healthy scripts/bridges/sweep_scaling_tempopt_n128.sh
port:341 network healthy scripts/bridges/sweep_scales.sh
port:24 network healthy scripts/bridges/sweep_scales.sh
port:917 network healthy scripts/bridges/sweep_scales.sh
port:32 network healthy scripts/bridges/sweep_scales.sh
port:1941 network healthy scripts/bridges/sweep_scales.sh
port:18 network healthy scripts/bridges/sweep_diagnostics_temp.sh
port:25 network healthy scripts/bridges/sweep_diagnostics_temp.sh
port:34 network healthy scripts/bridges/sweep_diagnostics_temp.sh
port:73 network healthy scripts/bridges/sweep_diagnostics_temp.sh
port:02 network healthy scripts/derecho/sweep_sampling_posmask.sh
port:04 network healthy scripts/derecho/tokenize_all.sh

LabelLayerStatusPath
MultiScaleVQ software healthy vq.py:51
EMAState software healthy vq.py:121
VQVAETokenizer software healthy tokenizer.py:152
EncoderStem software healthy vit_ae.py:18
DecoderStem software healthy vit_ae.py:43
ViTBlock software healthy vit_ae.py:102
Transformer software healthy vit_ae.py:162
Encoder software healthy vit_ae.py:182
Decoder software healthy vit_ae.py:211
NSPConfig software healthy nsp_model.py:28
NSPEmbedding software healthy nsp_model.py:226
NSPBlock software healthy nsp_model.py:277
NSPModel software healthy nsp_model.py:364
ExpansionHeads software healthy nsp_model.py:419
VQVAEDataset software healthy dataloader.py:8
PeakRSSMonitor software healthy scripts/bridges/profile_nsp_memory.py:47
PeakRSSMonitor software healthy scripts/bridges/profile_nsp_memory_mock.py:48

LabelLayerStatusPath
scripts software healthy scripts
bridges software healthy scripts/bridges
derecho software healthy scripts/derecho

LabelLayerStatusPath
repobility-clone-0slgcv99 software healthy /tmp/repobility-clone-0slgcv99

LabelLayerStatusPath
0.9.0.1 network healthy requirements.txt

LabelLayerStatusPath
gpu (detected) hardware healthy diagnostics_common.py
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
For AI agents + API integrations
Email me when this repo regresses
Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.
API access

This page is publicly accessible at: https://repobility.com/scan/6e7bdcee-4133-4202-9ff2-47f9629e7136/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/6e7bdcee-4133-4202-9ff2-47f9629e7136/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.