Repository Analysis

academicpages/academicpages.github.io

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

5.4 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of academicpages/academicpages.github.io, a SCSS project with 17,294 GitHub stars. SynthScan v2.0 examined 13,874 lines of code across 159 source files, recording 35 pattern matches distributed across 10 syntactic categories. The overall adjusted score of 5.4 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).

5.4
Adjusted Score
5.4
Raw Score
100%
Time Factor
2026-06-25
Last Push
17.3K
Stars
SCSS
Language
13.9K
Lines of Code
159
Files
35
Pattern Hits
2026-07-14
Scan Date
0.01
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 1HIGH 0MEDIUM 13LOW 21

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 35 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.

Decorative Section Separators9 hits · 27 pts
SeverityFileLineSnippetContext
MEDIUM_data/ui-text.yml4# -----------------COMMENT
MEDIUM_data/ui-text.yml53# --------------COMMENT
MEDIUM_data/ui-text.yml98# -----------------COMMENT
MEDIUM_data/ui-text.yml145# -----------------COMMENT
MEDIUM_data/ui-text.yml188# -----------------COMMENT
MEDIUM_data/ui-text.yml233# -----------------COMMENT
MEDIUM_data/ui-text.yml276# -----------------COMMENT
MEDIUM_data/ui-text.yml319# -----------------COMMENT
MEDIUM_data/ui-text.yml362# --------------COMMENT
Hallucination Indicators1 hit · 10 pts
SeverityFileLineSnippetContext
CRITICALassets/js/main.min.js1((e,t)=>{"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(e.docCODE
Redundant / Tautological Comments5 hits · 10 pts
SeverityFileLineSnippetContext
LOWtalkmap.py29 # Read the fileCOMMENT
LOWmarkdown_generator/publications.py67 # Write the fileCOMMENT
LOWscripts/update_cv_json.sh14# Check if the Python script existsCOMMENT
LOWscripts/update_cv_json.sh21# Check if the markdown CV existsCOMMENT
LOWscripts/update_cv_json.sh31# Check if the conversion was successfulCOMMENT
Excessive Try-Catch Wrapping3 hits · 8 pts
SeverityFileLineSnippetContext
MEDIUMtalkmap.py48 print(f"Error: geocode failed on input {location} with message {ex}")CODE
MEDIUMtalkmap.py50 print(f"Error: geocode timed out on input {location} with message {ex}")CODE
LOWtalkmap.py51 except Exception as ex:CODE
Fake / Example Data7 hits · 7 pts
SeverityFileLineSnippetContext
LOW_config.yml33 email : "none@example.org"CODE
LOW_posts/2013-08-14-blog-post-2.md11This is a sample blog post. Lorem ipsum I can't remember the rest of lorem ipsum and don't have an internet connection rCODE
LOW_posts/2015-08-14-blog-post-4.md11This is a sample blog post. Lorem ipsum I can't remember the rest of lorem ipsum and don't have an internet connection rCODE
LOW_posts/2014-08-14-blog-post-3.md11This is a sample blog post. Lorem ipsum I can't remember the rest of lorem ipsum and don't have an internet connection rCODE
LOW_posts/2012-08-14-blog-post-1.md11This is a sample blog post. Lorem ipsum I can't remember the rest of lorem ipsum and don't have an internet connection rCODE
LOW_drafts/post-draft.md11Monocle ipsum dolor sit amet handsome pariatur aliqua, hub remarkable irure commodo classic deserunt bespoke. Sunt commoCODE
LOW_data/cv.json4 "email": "none@example.org",CODE
Over-Commented Block5 hits · 5 pts
SeverityFileLineSnippetContext
LOW_config.yml341 type: liquidCOMMENT
LOWmarkdown_generator/pubsFromBib.py1#!/usr/bin/env pythonCOMMENT
LOWmarkdown_generator/publications.py1# Publications markdown generator for AcademicPagesCOMMENT
LOWmarkdown_generator/talks.py1#!/usr/bin/env pythonCOMMENT
LOW_data/ui-text.yml361# Another localeCOMMENT
Self-Referential Comments1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMscripts/cv_markdown_to_json.py378 # Create the JSON structureCOMMENT
Slop Phrases1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUM_data/navigation.yml3# Changing the order here will adjust the order and you can also add additionalCOMMENT
Unused Imports2 hits · 2 pts
SeverityFileLineSnippetContext
LOWmarkdown_generator/pubsFromBib.py20CODE
LOWmarkdown_generator/pubsFromBib.py22CODE
Deep Nesting1 hit · 1 pts
SeverityFileLineSnippetContext
LOWscripts/cv_markdown_to_json.py190CODE