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huangjunsen0406/py-xiaozhi

https://github.com/huangjunsen0406/py-xiaozhi · scanned 2026-05-15 09:54 UTC (3 weeks ago) · 10 languages

89 findings (23 legacy + 66 scanner) 58th percentile · Python · medium (20-100K LoC) Scanner says 90 (lower by 28)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 19 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
83.8
/100
Repobility
77
19 legacy
9-layer
90
88.9% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 84.5 0.25 21.12
testing_score 0.0 0.20 0.00
documentation_score 73.6 0.15 11.04
practices_score 80.0 0.15 12.00
code_quality 56.6 0.10 5.66
Overall 1.00 62.6
Calibrated penalty buckets (security_score): agent: 4.2 · threat: 11.3
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 10 Medium 6 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 19 9-layer 0 Crowd 0 Layer: Security 4 Quality 13 Software 2

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.

Fragile runtime 12 findings
What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.
Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.
How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.
Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).
12 matching findings on this repo
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … .claude/hooks/inject-subagent-context.py:183
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … .trellis/scripts/common/task_store.py:277
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … main.py:154
  • medium Agent auto-approve or skip-permissions mode is easy to enable .trellis/scripts/common/cli_adapter.py:344
  • medium Codex session log reader may expose prompts or tool-call content .claude/hooks/session-start.py:38
  • medium Duplicated implementation block across source files src/ui/gpio/manager.py:113
  • medium Duplicated implementation block across source files src/mcp/tools/app/scanner_mac.py:92
  • medium Duplicated implementation block across source files .trellis/scripts/common/paths.py:133
  • medium Duplicated implementation block across source files .claude/hooks/session-start.py:75
  • medium Duplicated implementation block across source files .claude/hooks/session-start.py:65
  • medium Duplicated implementation block across source files .claude/hooks/inject-workflow-state.py:36
  • low robots.txt does not advertise a sitemap documents/docs/guide/设备激活流程.md
View all fragile runtime findings →
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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