Repository Analysis

elebumm/RedditVideoMakerBot

Create Reddit Videos with just✨ one command ✨

10.4 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of elebumm/RedditVideoMakerBot, a Python project with 12,514 GitHub stars. SynthScan v2.0 examined 5,932 lines of code across 61 source files, recording 48 pattern matches distributed across 10 syntactic categories. The overall adjusted score of 10.4 places this repository in the Low AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

10.4
Adjusted Score
10.4
Raw Score
100%
Time Factor
2026-07-20
Last Push
12.5K
Stars
Python
Language
5.9K
Lines of Code
61
Files
48
Pattern Hits
2026-08-02
Scan Date
0.00
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 0MEDIUM 6LOW 42

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 48 distinct pattern matches across 10 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. 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 diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Excessive Try-Catch Wrapping13 hits · 18 pts
SeverityFileLineSnippetContext
LOWmain.py126 except Exception as err:CODE
LOWvideo_creation/screenshot_downloader.py184 except Exception as e:CODE
LOWutils/ffmpeg_install.py61 except Exception as e:CODE
LOWutils/ffmpeg_install.py77 except Exception as e:CODE
LOWutils/ffmpeg_install.py137 except Exception as e:CODE
MEDIUMutils/ffmpeg_install.py8def ffmpeg_install_windows():CODE
MEDIUMutils/ffmpeg_install.py69def ffmpeg_install_linux():CODE
MEDIUMutils/ffmpeg_install.py87def ffmpeg_install_mac():CODE
LOWutils/settings.py115 except Exception as error:CODE
LOWutils/gui_utils.py50 except Exception:CODE
LOWTTS/openai_tts.py90 except Exception as e:CODE
MEDIUMTTS/streamlabs_polly.py64 print("Error occurred calling Streamlabs Polly")CODE
MEDIUMreddit/subreddit.py48 print("Something went wrong...")CODE
Redundant / Tautological Comments9 hits · 16 pts
SeverityFileLineSnippetContext
LOWinstall.sh49 # Check if homebrew is installedCOMMENT
LOWvideo_creation/screenshot_downloader.py124 # Check if the redesign optout cookie is setCOMMENT
LOWutils/ffmpeg_install.py16 # Check if ffmpeg.zip already existsCOMMENT
LOWutils/ffmpeg_install.py25 # Check if the extracted folder already existsCOMMENT
LOWutils/ffmpeg_install.py114 # Check if there's ffmpeg.exe in the current directoryCOMMENT
LOWutils/gui_utils.py163 # Check if the position is validCOMMENT
LOWutils/gui_utils.py183 # Check if the background doesn't already existCOMMENT
LOWutils/gui_utils.py187 # Check if key isn't already takenCOMMENT
LOWutils/gui_utils.py192 # Check if the YouTube URI isn't already used under different nameCOMMENT
Deep Nesting12 hits · 12 pts
SeverityFileLineSnippetContext
LOWvideo_creation/screenshot_downloader.py19CODE
LOWvideo_creation/final_video.py199CODE
LOWvideo_creation/final_video.py45CODE
LOWutils/console.py38CODE
LOWutils/ffmpeg_install.py8CODE
LOWutils/ffmpeg_install.py104CODE
LOWutils/subreddit.py19CODE
LOWutils/settings.py110CODE
LOWTTS/engine_wrapper.py69CODE
LOWTTS/engine_wrapper.py105CODE
LOWTTS/streamlabs_polly.py37CODE
LOWreddit/subreddit.py16CODE
Hyper-Verbose Identifiers4 hits · 4 pts
SeverityFileLineSnippetContext
LOWvideo_creation/screenshot_downloader.py19def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):CODE
LOWvideo_creation/background.py76def download_background_video(background_config: Tuple[str, str, str, Any]):CODE
LOWvideo_creation/background.py99def download_background_audio(background_config: Tuple[str, str, str]):CODE
LOWvideo_creation/voices.py54def get_case_insensitive_key_value(input_dict, key):CODE
Unused Imports4 hits · 4 pts
SeverityFileLineSnippetContext
LOWvideo_creation/screenshot_downloader.py4CODE
LOWvideo_creation/final_video.py21CODE
LOWutils/id.py4CODE
LOWutils/imagenarator.py2CODE
Self-Referential Comments1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMvideo_creation/background.py169# Create a tuple for downloads background (background_audio_options, background_video_options)COMMENT
Modern Structural Boilerplate2 hits · 2 pts
SeverityFileLineSnippetContext
LOWvideo_creation/screenshot_downloader.py16__all__ = ["get_screenshots_of_reddit_posts"]CODE
LOWTTS/TikTok.py11__all__ = ["TikTok", "TikTokTTSException"]CODE
AI Structural Patterns1 hit · 1 pts
SeverityFileLineSnippetContext
LOWutils/console.py38CODE
AI Slop Vocabulary1 hit · 1 pts
SeverityFileLineSnippetContext
LOWTTS/engine_wrapper.py99 else: # If the comment is not too long, just call the tts engineCODE
Over-Commented Block1 hit · 1 pts
SeverityFileLineSnippetContext
LOW.github/workflows/codeql-analysis.yml1COMMENT