https://github.com/PlanExeOrg/PlanExe
· scanned 2026-05-15 20:53 UTC (2 weeks, 6 days ago)
· 10 languages
223 findings (53 legacy + 170 scanner) 48th percentile · Python · medium (20-100K LoC) Scanner says 59 (higher by 2)
Last scanned 2 weeks, 6 days ago · v1 · 48 findings from 1 source. 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 |
40.0 | 0.15 | 6.00 |
security_score |
45.0 | 0.25 | 11.25 |
testing_score |
79.0 | 0.20 | 15.80 |
documentation_score |
72.0 | 0.15 | 10.80 |
practices_score |
75.0 | 0.15 | 11.25 |
code_quality |
59.0 | 0.10 | 5.90 |
| Overall | 1.00 | 61.0 |
web: 1.6 ·
agent: 1.1 ·
docker: 70.4 ·
threat: 27.4
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.
.well-known/security.txt
worker_plan/app.py:388
mcp_cloud/middleware.py:238
database_worker/server.py:29
worker_plan/worker_plan_internal/assume/physical_…:138
worker_plan/worker_plan_internal/assume/make_assu…:197
worker_plan/worker_plan_internal/assume/identify_…:144
worker_plan/worker_plan_internal/assume/identify_…:154
worker_plan/worker_plan_internal/assume/identify_…:150
worker_plan/worker_plan_internal/assume/distill_a…:160
mcp_cloud/handlers.py:31
experiments/run_stream_chat_structured_output2.py:59
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