Repository Analysis

blackcandy-org/blackcandy

A self hosted music streaming server

4.2 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of blackcandy-org/blackcandy, a Ruby project with 4,318 GitHub stars. SynthScan v2.0 examined 19,620 lines of code across 315 source files, recording 52 pattern matches distributed across 6 syntactic categories. The overall adjusted score of 4.2 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).

4.2
Adjusted Score
4.2
Raw Score
100%
Time Factor
2026-07-14
Last Push
4.3K
Stars
Ruby
Language
19.6K
Lines of Code
315
Files
52
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

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 1HIGH 2MEDIUM 7LOW 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 52 distinct pattern matches across 6 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.

Over-Commented Block25 hits · 25 pts
SeverityFileLineSnippetContext
LOW.rubocop.yml1# Omakase Ruby styling for RailsCOMMENT
LOWapp/views/pwa/service-worker.js1// Add a service worker for processing Web Push notifications:COMMENT
LOWapp/views/pwa/service-worker.js21// if (clients.openWindow) {COMMENT
LOWconfig/recurring.yml1# production:COMMENT
LOWconfig/storage.yml21# project: your_projectCOMMENT
LOWconfig/puma.rb1require_relative "../lib/puma/plugin/media_listener"COMMENT
LOWconfig/environments/test.rb1# The test environment is used exclusively to run your application'sCOMMENT
LOWconfig/initializers/content_security_policy.rb1# Be sure to restart your server when you modify this file.COMMENT
LOWconfig/initializers/content_security_policy.rb21# config.content_security_policy_nonce_directives = %w(script-src style-src)COMMENT
LOWconfig/initializers/pagy.rb1# frozen_string_literal: trueCOMMENT
LOWconfig/initializers/pagy.rb21# ExtrasCOMMENT
LOWconfig/initializers/pagy.rb41COMMENT
LOWconfig/initializers/pagy.rb61# See https://ddnexus.github.io/pagy/docs/extras/countlessCOMMENT
LOWconfig/initializers/pagy.rb81COMMENT
LOWconfig/initializers/pagy.rb101# Pagy::DEFAULT[:metadata] = %i[scaffold_url page prev next last] # exampleCOMMENT
LOWconfig/initializers/pagy.rb121# Bulma extra: Add nav, nav_js and combo_nav_js helpers and templates for Bulma paginationCOMMENT
LOWconfig/initializers/pagy.rb141# Pagy::DEFAULT[:gearbox_extra] = false # default trueCOMMENT
LOWconfig/initializers/pagy.rb161# Pagy::DEFAULT[:trim_extra] = false # default trueCOMMENT
LOWconfig/initializers/pagy.rb181# Rails.application.config.assets.paths << Pagy.root.join('javascripts')COMMENT
LOWconfig/initializers/pagy.rb201# { locale: 'es' })COMMENT
LOWconfig/initializers/inflections.rb1# Be sure to restart your server when you modify this file.COMMENT
LOWdb/schema.rb1# This file is auto-generated from the current state of the database. InsteadCOMMENT
LOWdb/seeds.rb1# This file should contain all the record creation needed to seed the database with its default values.COMMENT
LOWdb/cache_schema.rb1# This file is auto-generated from the current state of the database. InsteadCOMMENT
LOWdb/cable_schema.rb1# This file is auto-generated from the current state of the database. InsteadCOMMENT
Self-Referential Comments7 hits · 21 pts
SeverityFileLineSnippetContext
MEDIUMconfig/initializers/content_security_policy.rb3# Define an application-wide content security policy.COMMENT
MEDIUMdb/schema.rb1# This file is auto-generated from the current state of the database. InsteadCOMMENT
MEDIUMdb/schema.rb5# This file is the source Rails uses to define your schema when running `bin/railsCOMMENT
MEDIUMdb/cache_schema.rb1# This file is auto-generated from the current state of the database. InsteadCOMMENT
MEDIUMdb/cache_schema.rb5# This file is the source Rails uses to define your schema when running `bin/railsCOMMENT
MEDIUMdb/cable_schema.rb1# This file is auto-generated from the current state of the database. InsteadCOMMENT
MEDIUMdb/cable_schema.rb5# This file is the source Rails uses to define your schema when running `bin/railsCOMMENT
Fake / Example Data14 hits · 14 pts
SeverityFileLineSnippetContext
LOWtest/models/media_test.rb148 Setting.update(discogs_token: "fake_token")CODE
LOWtest/models/user_test.rb16 @user = User.create(email: "test@test.com", password: "foobar", theme: "auto")CODE
LOWtest/models/integrations/discogs_test.rb7 @discogs_client = Integrations::Discogs.new("fake_token")CODE
LOWtest/models/integrations/discogs_test.rb18 headers: { "Authorization" => "Discogs token=fake_token" },CODE
LOWtest/models/integrations/discogs_test.rb36 headers: { "Authorization" => "Discogs token=fake_token" },CODE
LOWtest/models/integrations/discogs_test.rb59 headers: { "Authorization" => "Discogs token=fake_token" },CODE
LOWtest/models/integrations/discogs_test.rb75 headers: { "Authorization" => "Discogs token=fake_token" },CODE
LOWtest/jobs/media_sync_job_test.rb68 Setting.update(discogs_token: "fake_token")CODE
LOWtest/jobs/media_sync_all_job_test.rb148 Setting.update(discogs_token: "fake_token")CODE
LOWtest/controllers/users_controller_test.rb28 post users_url, params: { user: { email: "test@test.com", password: "foobar" } }CODE
LOWtest/controllers/users_controller_test.rb73 post users_url, params: { user: { email: "test@test.com", password: "foobar" } }CODE
LOWtest/controllers/users_controller_test.rb180 post users_url, params: { user: { email: "test@test.com", password: "foobar" } }CODE
LOWdocs/api/sections/authentication.md19 "email": "user@example.com",CODE
LOWdocs/api/sections/authentication.md36 "email": "user@example.com",CODE
Magic Placeholder Names2 hits · 10 pts
SeverityFileLineSnippetContext
HIGHREADME.md91docker run -e DB_ADAPTER=postgresql -e DB_URL=postgresql://yourdatabaseurl ghcr.io/blackcandy-org/blackcandy:latestCODE
HIGHdocs/README_EDGE.md96docker run -e DB_ADAPTER=postgresql -e DB_URL=postgresql://yourdatabaseurl ghcr.io/blackcandy-org/blackcandy:latestCODE
Hallucination Indicators1 hit · 10 pts
SeverityFileLineSnippetContext
CRITICALapp/javascript/controllers/songs_controller.js52 event.detail.formSubmission.fetchRequest.body.append('current_song_id', currentSongId)CODE
Hyper-Verbose Identifiers3 hits · 3 pts
SeverityFileLineSnippetContext
LOWapp/models/media_file.rb80 def normalize_image_mime_type(mime_type)CODE
LOWapp/models/user.rb60 def add_album_to_recently_played(album)CODE
LOWlib/black_candy/configurable.rb68 def raise_config_validation_error(message)CODE