Repository Analysis

FujiwaraChoki/MoneyPrinterV2

Automate the process of making money online.

22.0 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of FujiwaraChoki/MoneyPrinterV2, a Python project with 31,212 GitHub stars. SynthScan v2.0 examined 5,057 lines of code across 38 source files, recording 96 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 22.0 places this repository in the Moderate 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).

22.0
Adjusted Score
22.0
Raw Score
100%
Time Factor
2026-06-14
Last Push
31.2K
Stars
Python
Language
5.1K
Lines of Code
38
Files
96
Pattern Hits
2026-07-14
Scan Date
0.03
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

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

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 1MEDIUM 7LOW 88

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 96 distinct pattern matches across 7 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.

Unused Imports29 hits · 29 pts
SeverityFileLineSnippetContext
LOWtests/test_cron_post_bridge.py5CODE
LOWscripts/preflight_local.py106CODE
LOWsrc/cron.py4CODE
LOWsrc/utils.py7CODE
LOWsrc/utils.py8CODE
LOWsrc/main.py4CODE
LOWsrc/main.py5CODE
LOWsrc/main.py6CODE
LOWsrc/main.py7CODE
LOWsrc/main.py8CODE
LOWsrc/main.py10CODE
LOWsrc/classes/YouTube.py9CODE
LOWsrc/classes/YouTube.py10CODE
LOWsrc/classes/YouTube.py13CODE
LOWsrc/classes/YouTube.py14CODE
LOWsrc/classes/YouTube.py16CODE
LOWsrc/classes/YouTube.py18CODE
LOWsrc/classes/YouTube.py20CODE
LOWsrc/classes/Outreach.py14CODE
LOWsrc/classes/Outreach.py15CODE
LOWsrc/classes/Outreach.py16CODE
LOWsrc/classes/AFM.py5CODE
LOWsrc/classes/AFM.py6CODE
LOWsrc/classes/AFM.py7CODE
LOWsrc/classes/AFM.py10CODE
LOWsrc/classes/Twitter.py7CODE
LOWsrc/classes/Twitter.py8CODE
LOWsrc/classes/Twitter.py9CODE
LOWsrc/classes/Twitter.py14CODE
Hyper-Verbose Identifiers27 hits · 26 pts
SeverityFileLineSnippetContext
LOWtests/test_post_bridge_integration.py20 def test_resolve_social_account_ids_interactive_prompts_for_ambiguous_accounts(self) -> None:CODE
LOWtests/test_post_bridge_integration.py40 def test_resolve_social_account_ids_skips_non_interactive_when_multiple_accounts_exist(self) -> None:CODE
LOWtests/test_post_bridge_integration.py58 def test_cron_mode_skips_when_auto_crosspost_is_disabled(CODE
LOWtests/test_post_bridge_integration.py83 def test_interactive_crosspost_uploads_and_posts(CODE
LOWtests/test_post_bridge_integration.py118 def test_account_ids_work_without_platform_filters(CODE
LOWtests/test_cron_post_bridge.py49 def test_crosspost_does_not_run_when_youtube_upload_fails(CODE
LOWtests/test_post_bridge_client.py31 def test_list_social_accounts_follows_pagination(self, _sleep_mock) -> None:CODE
LOWtests/test_post_bridge_client.py83 def test_create_post_retries_after_rate_limit(self, sleep_mock) -> None:CODE
LOWtests/test_post_bridge_client.py101 def test_upload_media_does_not_forward_api_bearer_token_to_signed_upload_url(self) -> None:CODE
LOWtests/test_post_bridge_client.py130 def test_request_rewinds_streamed_upload_body_before_retry(self, sleep_mock) -> None:CODE
LOWtests/test_config.py23 def test_missing_platforms_uses_defaults(self) -> None:CODE
LOWtests/test_config.py32 def test_invalid_or_empty_platforms_do_not_expand_to_defaults(self) -> None:CODE
LOWtests/test_config.py49 def test_non_list_platforms_fail_closed(self) -> None:CODE
LOWtests/test_config.py66 def test_non_object_post_bridge_config_falls_back_to_defaults(self) -> None:CODE
LOWsrc/config.py176def get_google_maps_scraper_zip_url() -> str:CODE
LOWsrc/config.py186def get_google_maps_scraper_niche() -> str:CODE
LOWsrc/config.py206def get_outreach_message_subject() -> str:CODE
LOWsrc/config.py216def get_outreach_message_body_file() -> str:CODE
LOWsrc/config.py328def get_script_sentence_length() -> int:CODE
LOWsrc/post_bridge_integration.py14def resolve_social_account_ids(CODE
LOWsrc/post_bridge_integration.py105def build_platform_configurations(title: str) -> dict:CODE
LOWsrc/post_bridge_integration.py126def maybe_crosspost_youtube_short(CODE
LOWsrc/utils.py13def close_running_selenium_instances() -> None:CODE
LOWsrc/classes/YouTube.py392 def generate_script_to_speech(self, tts_instance: TTS) -> str:STRING
LOWsrc/classes/YouTube.py465 def generate_subtitles_assemblyai(self, audio_path: str) -> str:STRING
LOWsrc/classes/YouTube.py505 def generate_subtitles_local_whisper(self, audio_path: str) -> str:STRING
LOWsrc/classes/AFM.py91 def scrape_product_information(self) -> None:CODE
Self-Referential Comments7 hits · 19 pts
SeverityFileLineSnippetContext
MEDIUMsrc/cache.py76 # Create the cache fileCOMMENT
MEDIUMsrc/cache.py152 # Create the cache fileCOMMENT
MEDIUMsrc/classes/YouTube.py863 # Create the cache fileSTRING
MEDIUMsrc/classes/Outreach.py180 # Define a regular expression pattern to match email addressesCOMMENT
MEDIUMsrc/classes/Outreach.py246 # Create a yagmail SMTP client outside the loopCOMMENT
MEDIUMsrc/classes/AFM.py160 # Initialize the Twitter classCOMMENT
MEDIUMsrc/classes/Twitter.py151 # Create the cache fileCOMMENT
Excessive Try-Catch Wrapping17 hits · 16 pts
SeverityFileLineSnippetContext
LOWscripts/setup_local.sh80except Exception:CODE
LOWscripts/preflight_local.py30 except Exception as exc:CODE
LOWscripts/preflight_local.py81 except Exception as exc:CODE
LOWscripts/preflight_local.py109 except Exception as exc:CODE
LOWsrc/utils.py31 except Exception as e:CODE
LOWsrc/utils.py119 except Exception as err:CODE
LOWsrc/utils.py133 except Exception as e:CODE
LOWsrc/utils.py157 except Exception as e:CODE
LOWsrc/main.py464 except Exception as e:CODE
LOWsrc/classes/YouTube.py274 except Exception:STRING
LOWsrc/classes/YouTube.py375 except Exception as e:STRING
LOWsrc/classes/YouTube.py628 except Exception as e:STRING
LOWsrc/classes/Outreach.py60 except Exception as e:CODE
LOWsrc/classes/Outreach.py143 except Exception as e:CODE
LOWsrc/classes/Outreach.py291 except Exception as err:CODE
LOWsrc/classes/Twitter.py107 except Exception:CODE
LOWsrc/classes/Twitter.py128 except Exception:CODE
Deep Nesting10 hits · 10 pts
SeverityFileLineSnippetContext
LOWsrc/config.py343CODE
LOWsrc/cron.py13CODE
LOWsrc/utils.py65CODE
LOWsrc/main.py21CODE
LOWsrc/classes/YouTube.py224CODE
LOWsrc/classes/YouTube.py319CODE
LOWsrc/classes/YouTube.py552CODE
LOWsrc/classes/Outreach.py199CODE
LOWsrc/classes/PostBridge.py259CODE
LOWsrc/classes/Twitter.py143CODE
Redundant / Tautological Comments5 hits · 8 pts
SeverityFileLineSnippetContext
LOWscripts/upload_video.sh25# Check if the id is in the listCOMMENT
LOWsrc/classes/Outreach.py31 # Check if go is installedCOMMENT
LOWsrc/classes/Outreach.py56 # Check if go is installedCOMMENT
LOWsrc/classes/Outreach.py206 # Check if go is installedCOMMENT
LOWsrc/classes/Outreach.py257 # Check if the item"s website is validCOMMENT
Docstring Block Structure1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHsrc/cache.py44 Gets the cache path for a supported account provider. Args: provider (str): The provider name ("twitteSTRING