https://github.com/chopratejas/headroom
· scanned 2026-06-02 20:56 UTC (2 days, 19 hours ago)
· 10 languages
1201 findings (321 legacy + 880 scanner) 11/13 scanners ran 88th percentile · Python · large (100-500K LoC) Scanner says 46 (higher by 42)
Last scanned 2 days, 19 hours ago · v2 · 761 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
| Component | Sub-score | Weight | Contribution |
|---|---|---|---|
structure_score |
60.0 | 0.15 | 9.00 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
100.0 | 0.20 | 20.00 |
documentation_score |
100.0 | 0.15 | 15.00 |
practices_score |
96.0 | 0.15 | 14.40 |
code_quality |
45.0 | 0.10 | 4.50 |
| Overall | 1.00 | 87.9 |
Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.
benchmarks/headroom_worst_case_benchmark.py:676
benchmarks/prefix_cache_benchmark.py:586
scripts/replay_codex_ws_load.py:263
scripts/repro_codex_replay.py:682
scripts/repro_codex_replay.py:300
scripts/smoke_issue_327.py:226
headroom/client.py:952
headroom/client.py:943
headroom/client.py:931
headroom/client.py:922
headroom/_version.py:43
headroom/onnx_runtime.py:50
.pre-commit-config.yaml:18
.pre-commit-config.yaml:10
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