harry0703/MoneyPrinterTurbo

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https://github.com/harry0703/MoneyPrinterTurbo.git · scanned 2026-05-31 19:52 UTC (4 days, 17 hours ago) · 10 languages

202 findings (82 legacy + 120 scanner) 11/13 scanners ran 75th percentile · Python · small (2-20K LoC) Scanner says 66 (higher by 14)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 17 hours ago · v2 · 142 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	100.0	0.25	25.00
`testing_score`	87.0	0.20	17.40
`documentation_score`	70.0	0.15	10.50
`practices_score`	42.0	0.15	6.30
`code_quality`	59.0	0.10	5.90
Overall		1.00	80.1

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 54 Medium 11 Low 53 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 82 9-layer 60 Crowd 0 Layer: Quality 89 Security 14 Cicd 4 Software 17 Hardware 3 Frontend 1 Api 14

Exclude dismissed / FP Exclude test files

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 69 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 [MINED111] Bare except continues silently: Bare `except:` (or `except Exception… app/utils/utils.py:221
medium [MINED111] Bare except continues silently: Bare `except:` (or `except Exception… app/services/llm.py:490
medium [MINED111] Bare except continues silently: Bare `except:` (or `except Exception… app/services/voice.py:1433
medium [MINED111] Bare except continues silently: Bare `except:` (or `except Exception… test/services/test_video.py:311
medium Public web service has no security.txt .well-known/security.txt
medium [SEC127] AI agent stub — TODO: implement / pass placeholder body: Function body… app/controllers/manager/base_manager.py:19
medium [COMP001] High cognitive complexity: Function `save_video` has cognitive comple… app/services/material.py:168
medium [COMP001] High cognitive complexity: Function `download_videos` has cognitive c… app/services/material.py:228
low [SEC132] String concat where the language has interpolation (AI style drift): S… main.py:8
low [COMP001] High cognitive complexity: Function `get_container_default_gateway_ip… app/config/config.py:65
info [MINED079] Off By One Slice: range(len(x)+1), arr[i+1:i+n+1], or while i<=len(a… app/services/subtitle.py:174
info [MINED067] Python Requests No Timeout: requests.get/post/etc. without timeout= … app/services/upload_post.py:80

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Legacy markers 2 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.

2 matching findings on this repo

low Legacy-named symbol `test_azure_tts_v1` in test/services/test_voice.py:82
low Legacy-named symbol `azure_tts_v2` in app/services/voice.py:1196

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Commented-out code 3 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/`.

3 matching findings on this repo

info Commented-code block (9 lines) in app/config/__init__.py:44
info Commented-code block (7 lines) in app/services/voice.py:1737
info Commented-code block (5 lines) in app/services/video.py:831

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Config drift 5 findings

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

5 matching findings on this repo

medium No CI/CD configuration found
high [MINED108] `self.assertEqual` used but never assigned in __init__: Method `test… test/services/test_video.py:182
high [MINED108] `self.original_app_config` used but never assigned in __init__: Meth… test/services/test_video.py:41
high [MINED108] `self.original_app_config` used but never assigned in __init__: Meth… test/services/test_video.py:37
info Commented-code block (9 lines) in app/config/__init__.py:44

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