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zndx/aegir

https://github.com/zndx/aegir · scanned 2026-06-16 04:42 UTC (1 month, 2 weeks ago)

11 raw signals (0 security + 11 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v1 · 11 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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Combined
79.0
/100
Security checks
79
0 findings
System graph
79
55.6% cov · 11 findings
Critical
0
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Agents
10
0 votes
Crowd
0
reported
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Severity: Critical 0 High 0 Medium 5 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 11 Crowd 0 Layer: Software 4 Security 1 Quality 6

All 50 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
set_seed software healthy train.py:66
get_cosine_schedule_with_warmup software healthy train.py:74
lr_lambda software dead train.py:76
__init__ software healthy train.py:87
__len__ software healthy train.py:93
__getitem__ software healthy train.py:96
collate_fn software dead train.py:108
_make_datasets software healthy train.py:136
_observed_num_classes software healthy train.py:186
make_model software healthy train.py:207
_accumulate_boundary software healthy train.py:266
_finalize_boundary software healthy train.py:271
_lab software healthy train.py:277
train_epoch software healthy train.py:289
evaluate software healthy train.py:401
main software healthy train.py:452
_weighted_ce software healthy train_pretrain.py:61
__init__ software healthy train_pretrain.py:574
__len__ software healthy train_pretrain.py:578
__getitem__ software healthy train_pretrain.py:581
lm_collate_fn software dead train_pretrain.py:154
make_pretrain_model software healthy train_pretrain.py:188
_accumulate software healthy train_pretrain.py:244
_finalize software healthy train_pretrain.py:249
train_epoch software healthy train_pretrain.py:255
evaluate software healthy train_pretrain.py:359
parse_args software healthy train_pretrain.py:436
_git_sha software healthy train_pretrain.py:484
main software healthy train_pretrain.py:496
lr_lambda software dead train_pretrain.py:653
test_causal_lm software healthy main.py:11
test_column_annotation software healthy main.py:45
main software healthy main.py:84

LabelLayerStatusPath
CLAUDE.md software healthy CLAUDE.md
train.py software healthy train.py
train_pretrain.py software healthy train_pretrain.py
EVIDENCE.md software healthy EVIDENCE.md
README.md software healthy README.md
pyproject.toml software healthy pyproject.toml
devenv.yaml software healthy devenv.yaml
main.py software healthy main.py
CLAUDE.md quality warning CLAUDE.md

LabelLayerStatusPath
SyntheticTableDataset software healthy train.py:84
ParquetByteDataset software healthy train_pretrain.py:106
_Subset software healthy train_pretrain.py:573

LabelLayerStatusPath
postgres data healthy README.md
sqlite data healthy README.md

LabelLayerStatusPath
zndx__aegir software healthy /data/fable5_failed_archive/zndx__aegir

LabelLayerStatusPath
gpu (detected) hardware healthy CLAUDE.md

LabelLayerStatusPath
vps::aws hardware healthy README.md
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