Edit videos with coding agents
This report summarizes scanner evidence for browser-use/video-use, a Python project with 28,581 GitHub stars. SynthScan examined 6,486 lines of code across 31 source files, recording 50 pattern matches distributed across 6 syntactic categories. The legacy adjusted pattern signal is 11.1 (Moderate pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 40 finding(s).
Are imports declared and package/API names verified? 6 finding(s).
Are wrappers, guards, and repeated structures necessary? 23 finding(s).
Which changes need focused human review? 50 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 50 distinct pattern matches across 6 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | skills/manim-video/SKILL.md | 133 | ### Step 1: Plan (plan.md) | COMMENT |
| LOW | skills/manim-video/SKILL.md | 137 | ### Step 2: Code (script.py) | COMMENT |
| LOW⚡ | skills/manim-video/SKILL.md | 166 | ### Step 3: Render | COMMENT |
| LOW⚡ | skills/manim-video/SKILL.md | 173 | ### Step 4: Stitch | COMMENT |
| LOW⚡ | skills/manim-video/SKILL.md | 183 | ### Step 5: Review | COMMENT |
| LOW | …ls/manim-video/references/animation-design-thinking.md | 26 | ### Step 1: Write the narration first | COMMENT |
| LOW | …ls/manim-video/references/animation-design-thinking.md | 35 | ### Step 2: Identify visual beats | COMMENT |
| LOW | …ls/manim-video/references/animation-design-thinking.md | 48 | ### Step 3: Choose the right tool per beat | COMMENT |
| LOW⚡ | skills/manim-video/references/updaters-and-trackers.md | 33 | # Step 1: Create tracker | COMMENT |
| LOW⚡ | skills/manim-video/references/updaters-and-trackers.md | 36 | # Step 2: Create dependent objects | COMMENT |
| LOW⚡ | skills/manim-video/references/updaters-and-trackers.md | 46 | # Step 3: Animate the tracker — everything follows | COMMENT |
| LOW⚡ | skills/manim-video/references/paper-explainer.md | 115 | # Step 2: Show naive approach (fully connected = O(n²) everything) | COMMENT |
| LOW⚡ | skills/manim-video/references/paper-explainer.md | 116 | # Step 3: Show it breaks (information overload, no selectivity) | COMMENT |
| LOW⚡ | skills/manim-video/references/paper-explainer.md | 118 | # Step 5: Show attention equation — Q, K, V now mean something | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | tests/test_render_captions.py | 40 | def test_pause_splits_across_words(self): | CODE |
| LOW⚡ | tests/test_render_captions.py | 45 | def test_no_multiword_cue_flashes(self): | CODE |
| LOW⚡ | tests/test_render_captions.py | 51 | def test_punctuation_still_breaks(self): | CODE |
| LOW | tests/test_render_captions.py | 63 | def test_output_timeline_cues(self): | CODE |
| LOW⚡ | tests/test_render_orientation.py | 29 | def test_native_portrait_dimensions(self): | CODE |
| LOW⚡ | tests/test_render_orientation.py | 32 | def test_native_landscape_dimensions(self): | CODE |
| LOW⚡ | tests/test_render_orientation.py | 35 | def test_side_data_rotation_turns_coded_landscape_into_portrait(self): | CODE |
| LOW⚡ | tests/test_render_orientation.py | 43 | def test_plain_rotation_tag_without_side_data_is_ignored(self): | CODE |
| LOW⚡ | tests/test_render_orientation.py | 47 | def test_rotation_can_turn_coded_portrait_into_landscape(self): | CODE |
| LOW⚡ | tests/test_render_orientation.py | 55 | def test_invalid_probe_output_falls_back_to_landscape(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 21 | def test_accepts_integer_decimal_and_rational_rates(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 31 | def test_canonical_rates_are_idempotent(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 37 | def test_rejects_invalid_or_non_positive_rates(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 62 | def test_prefers_average_rate(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 67 | def test_falls_back_to_nominal_rate(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 72 | def test_returns_none_for_unusable_probe_output(self): | CODE |
| LOW⚡ | tests/test_render_fps.py | 77 | def test_returns_none_when_ffprobe_fails(self): | CODE |
| LOW | tests/test_render_fps.py | 94 | def test_multi_source_render_resolves_one_rate_from_first_source(self): | CODE |
| LOW | tests/test_render_fps.py | 108 | def test_explicit_rate_skips_probe_and_applies_to_every_segment(self): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | helpers/pack_transcripts.py | 16 | CODE | |
| LOW | helpers/render.py | 22 | CODE | |
| LOW | helpers/transcribe_batch.py | 15 | CODE | |
| LOW | helpers/timeline_view.py | 21 | CODE | |
| LOW | helpers/transcribe.py | 16 | CODE | |
| LOW | helpers/grade.py | 28 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | helpers/pack_transcripts.py | 38 | CODE | |
| LOW | helpers/pack_transcripts.py | 137 | CODE | |
| LOW | helpers/render.py | 215 | CODE | |
| LOW | helpers/transcribe.py | 36 | CODE | |
| LOW | helpers/grade.py | 78 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | helpers/render.py | 34 | except Exception: | CODE |
| LOW | helpers/transcribe_batch.py | 112 | except Exception as e: | CODE |
| LOW | helpers/timeline_view.py | 168 | except Exception: | CODE |
| LOW | helpers/grade.py | 204 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | helpers/render.py | 41 | COMMENT | |
| LOW | helpers/render.py | 101 | if not Path(maybe_path).is_absolute(): | COMMENT |