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hi-godot/godot-ai

https://github.com/hi-godot/godot-ai · scanned 2026-05-16 13:30 UTC (1 day, 6 hours ago) · 10 languages

48 findings (1 legacy + 47 scanner) 99th percentile · Python · medium (20-100K LoC) Scanner says 91 (lower by 4)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 days, 5 hours ago · v1 · 48 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
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 100.0 0.15 15.00
security_score 99.0 0.25 24.75
testing_score 100.0 0.20 20.00
documentation_score 73.0 0.15 10.95
practices_score 65.0 0.15 9.75
code_quality 69.0 0.10 6.90
Overall 1.00 87.3
Calibrated penalty buckets (security_score): agent: 1.1
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 6 Low 34 Source: Legacy 1 9-layer 47 Crowd 0 Layer: Software 9 Api 1 Frontend 1 Cicd 12 Quality 25

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.

Legacy markers 5 findings
What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.
Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.
How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.
Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.
5 matching findings on this repo
  • low Legacy-named symbol `plugin_old` in tests/integration/test_websocket.py:511
  • low Legacy-named symbol `main_copy` in tests/integration/test_mcp_tools.py:230
  • low Legacy-named symbol `update_backup` in tests/unit/test_editor_state_mixed_state…
  • low Legacy-named symbol `player_backup` in tests/unit/test_telemetry_decorator.py:82
  • low Legacy-named symbol `update_backup` in tests/unit/test_audit_data_loss_safeguar…
View all legacy markers findings →
Commented-out code 6 findings
What it is: Lines of source that were intentionally disabled but never deleted.
Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.
How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.
Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.
6 matching findings on this repo
  • info Commented-code block (6 lines) in tests/integration/test_mcp_tools.py:3317
  • info Commented-code block (12 lines) in tests/integration/_self_update_fixture.py:237
  • info Commented-code block (5 lines) in tests/unit/test_editor_focus_refocus.py:647
  • info Commented-code block (5 lines) in tests/unit/test_dock_cli_timeout.py:120
  • info Commented-code block (5 lines) in src/godot_ai/handlers/_readiness.py:21
  • info Commented-code block (5 lines) in src/godot_ai/handlers/node.py:10
View all commented-out code findings →
{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
For AI agents + API integrations
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