HKUDS/ViMax

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36 of your 50 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 26.98s · analysis 1.07s · 27.7 MB · GitHub API rate-limit (preflight)

https://github.com/HKUDS/ViMax.git · scanned 2026-05-20 00:19 UTC (2 weeks ago) · 10 languages

102 findings (50 legacy + 52 scanner) 11/13 scanners ran 43rd percentile · Python · small (2-20K LoC) Scanner says 98 (lower by 30)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks ago · v2 · 76 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`	75.0	0.15	11.25
`security_score`	100.0	0.25	25.00
`testing_score`	30.0	0.20	6.00
`documentation_score`	77.0	0.15	11.55
`practices_score`	42.0	0.15	6.30
`code_quality`	75.0	0.10	7.50
Overall		1.00	67.6

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 29 Medium 7 Low 20 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 50 9-layer 26 Crowd 0 Layer: Quality 58 Software 14 Api 1 Frontend 1 Security 1 Cicd 1

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 46 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 [MINED109] Mutable default argument in `generate_single_image` (list): `def gen… tools/image_generator_doubao_seedream_yunwu_api.py:25
medium [MINED109] Mutable default argument in `generate_single_image` (list): `def gen… tools/image_generator_nanobanana_google_api.py:29
medium [MINED109] Mutable default argument in `generate_single_image` (list): `def gen… tools/image_generator_nanobanana_yunwu_api.py:30
medium [MINED109] Mutable default argument in `generate_single_video` (list): `def gen… tools/video_generator_veo_yunwu_api.py:40
medium [COMP001] High cognitive complexity: Function `generate_single_image` has cogni… tools/image_generator_nanobanana_google_api.py:29
medium [COMP001] High cognitive complexity: Function `construct_camera_tree` has cogni… agents/camera_image_generator.py:121
low Duplicated implementation block across source files pipelines/script2video_pipeline.py:37
low Duplicated implementation block across source files agents/script_planner.py:158
low Duplicated implementation block across source files agents/global_information_planner.py:97
low [COMP001] High cognitive complexity: Function `generate_character_portraits` ha… pipelines/idea2video_pipeline.py:74
info [MINED067] Python Requests No Timeout: requests.get/post/etc. without timeout= … utils/video.py:11
info [MINED067] Python Requests No Timeout: requests.get/post/etc. without timeout= … utils/image.py:15

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Commented-out code 4 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/`.

4 matching findings on this repo

info Commented-code block (11 lines) in pipelines/script2video_pipeline.py:75
info Commented-code block (7 lines) in interfaces/shot_description.py:40
info Commented-code block (7 lines) in agents/storyboard_artist.py:128
info Commented-code block (21 lines) in agents/global_information_planner.py:280

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Config drift 1 finding

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.

1 matching finding on this repo

medium No CI/CD configuration found

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