Repository Analysis

yihong0618/GitHubPoster

Make everything a GitHub svg poster and Skyline!

2.4 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of yihong0618/GitHubPoster, a Python project with 1,851 GitHub stars. SynthScan v2.0 examined 35,182 lines of code across 68 source files, recording 53 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 2.4 places this repository in the Likely human-written 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).

2.4
Adjusted Score
2.4
Raw Score
100%
Time Factor
2026-07-14
Last Push
1.9K
Stars
Python
Language
35.2K
Lines of Code
68
Files
53
Pattern Hits
2026-07-14
Scan Date
0.06
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 4MEDIUM 6LOW 43

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 53 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.

Cross-Language Confusion4 hits · 28 pts
SeverityFileLineSnippetContext
HIGHgithub_poster/circluar_drawer.py112 path.push(CODE
HIGHgithub_poster/circluar_drawer.py177 path.push("l", (r2 - r1) * sin_a1, (r1 - r2) * cos_a1)CODE
HIGHgithub_poster/circluar_drawer.py178 path.push(f"a{r2},{r2} 0 0,0 {r2 * (sin_a2 - sin_a1)},{r2 * (cos_a1 - cos_a2)}")CODE
HIGHgithub_poster/circluar_drawer.py179 path.push("l", (r1 - r2) * sin_a2, (r2 - r1) * cos_a2)CODE
Excessive Try-Catch Wrapping22 hits · 27 pts
SeverityFileLineSnippetContext
LOWgithub_poster/html_parser/github_parser.py45 except Exception:CODE
LOWgithub_poster/loader/todoist_loader.py56 except Exception as e:CODE
LOWgithub_poster/loader/leetcode_loader.py62 except Exception:CODE
LOWgithub_poster/loader/github_loader.py39 except Exception as e:CODE
LOWgithub_poster/loader/nrc_loader.py51 except Exception as e:CODE
LOWgithub_poster/loader/nrc_loader.py94 except Exception as e:CODE
MEDIUMgithub_poster/loader/nrc_loader.py39def _get_access(self):CODE
MEDIUMgithub_poster/loader/nrc_loader.py84def make_track_dict(self):CODE
LOWgithub_poster/loader/neodb_loader.py72 except Exception as e:CODE
LOWgithub_poster/loader/duolingo_loader.py61 except Exception:CODE
LOWgithub_poster/loader/strava_loader.py72 except Exception:CODE
MEDIUMgithub_poster/loader/strava_loader.py28def try_import_deps(cls):CODE
LOWgithub_poster/loader/garmin_loader.py56 except Exception as e: # try twiceCODE
MEDIUMgithub_poster/loader/garmin_loader.py22def try_import_deps(cls):CODE
LOWgithub_poster/loader/shanbay_loader.py74 except Exception:CODE
LOWgithub_poster/loader/cichang_loader.py83 except Exception:CODE
LOWgithub_poster/loader/openlanguage_loader.py88 except Exception:CODE
LOWgithub_poster/loader/gitlab_loader.py72 except Exception as e:CODE
LOWgithub_poster/loader/gitlab_loader.py91 except Exception:CODE
MEDIUMgithub_poster/loader/gitlab_loader.py58def make_latest_date_dict(self):CODE
LOWgithub_poster/loader/gpx_loader.py66 except Exception as e:CODE
LOWgithub_poster/loader/ns_loader.py88 except Exception:CODE
Hyper-Verbose Identifiers9 hits · 9 pts
SeverityFileLineSnippetContext
LOWgithub_poster/html_parser/kindle_parser.py5def parse_kindle_text_to_list(text):CODE
LOWgithub_poster/html_parser/jike_parse.py39def find_count_dict_by_type_in_html(text, count_type):CODE
LOWgithub_poster/loader/apple_health_loader.py85 def _load_apple_health_history(self):CODE
LOWgithub_poster/loader/apple_health_loader.py93 def _write_apple_health_history(self):CODE
LOWgithub_poster/loader/todoist_loader.py69 def todoist_completed_activity(self, page, limit, offset):CODE
LOWgithub_poster/loader/bilibili_loader.py47 def _writeback_bilibili_history(self):CODE
LOWgithub_poster/loader/wakatime_loader.py47 def _writeback_wakatime_history(self):CODE
LOWtests/test_strava_loader.py45def test_strava_loader_retries_server_fault(monkeypatch, fake_stravalib):CODE
LOWtests/test_strava_loader.py69def test_strava_loader_does_not_retry_client_fault(monkeypatch, fake_stravalib):CODE
Unused Imports8 hits · 8 pts
SeverityFileLineSnippetContext
LOWgithub_poster/html_parser/__init__.py1CODE
LOWgithub_poster/html_parser/__init__.py2CODE
LOWgithub_poster/html_parser/__init__.py3CODE
LOWgithub_poster/skyline/__init__.py1CODE
LOWgithub_poster/loader/garmin_loader.py24CODE
LOWgithub_poster/loader/from_github_issue_loader.py18CODE
LOWgithub_poster/loader/wakatime_loader.py4CODE
LOWgithub_poster/loader/wakatime_loader.py9CODE
AI Slop Vocabulary4 hits · 6 pts
SeverityFileLineSnippetContext
LOWgithub_poster/loader/duolingo_loader.py62 # just pass for nowCOMMENT
LOWgithub_poster/loader/cichang_loader.py84 # just pass for nowCOMMENT
LOWgithub_poster/loader/gitlab_loader.py92 # what fucking things happened just passCOMMENT
LOWgithub_poster/loader/ns_loader.py89 # just pass for nowCOMMENT
Deep Nesting5 hits · 5 pts
SeverityFileLineSnippetContext
LOWgithub_poster/drawer.py143CODE
LOWgithub_poster/html_parser/github_parser.py36CODE
LOWgithub_poster/html_parser/jike_parse.py39CODE
LOWgithub_poster/loader/bbdc_loader.py106CODE
LOWgithub_poster/loader/chatgpt_loader.py39CODE
Slop Phrases1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMgithub_poster/skyline/config.py1# you can change skyline config from hereCOMMENT