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Scan timing: clone 3.11s · analysis 4.08s · 5.2 MB · GitHub API rate-limit (preflight)

TradingAgents

https://github.com/TauricResearch/TradingAgents · scanned 2026-06-01 04:00 UTC (4 days, 13 hours ago) · 10 languages

288 findings (151 legacy + 137 scanner) 57th percentile · Python · small (2-20K LoC) Scanner says 91 (lower by 19)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 13 hours ago · v4 · 186 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 49.8 0.25 12.45
testing_score 100.0 0.20 20.00
documentation_score 91.0 0.15 13.65
practices_score 54.0 0.15 8.10
code_quality 62.4 0.10 6.24
Overall 1.00 71.7
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all

Last 4 scans of this repo. Each new scan persists a full payload — historical comparison is exact, not lossy.

v1
May 16 16:35
v2
May 18 02:50
v3
May 31 03:56
v4
Jun 01 04:01
Diff: previous → latest scan
Score Δ
0.00
Gaps added
3
Gaps resolved
2
Edges changed
+69 / -5
New gaps in latest scan:
  • Commented-code block (5 lines) in tradingagents/dataflows/utils.py:10 info
  • Commented-code block (5 lines) in tradingagents/llm_clients/openai_client.py:151 info
  • 10 env vars used in code but missing from .env.example low
Gaps resolved since last scan:
  • Commented-code block (5 lines) in tradingagents/llm_clients/openai_client.py:145
  • 6 env vars used in code but missing from .env.example
v#IDStatusScoreGapsNodesCommitStarted
v scan_96bf9e2ea1ff ok 90.6 35 823 04f434e Jun 01 04:01
v scan_255f59724c5b ok 90.6 34 781 8a22594 May 31 03:56
v scan_59eccdf6c06c ok 90.5 34 675 61522e1 May 18 02:50
v scan_ac1455d09e7e ok 90.4 34 627 a5cb7cb v0.2.5 May 16 16:35
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