Repository Analysis

6dylan6/jdpro

4.0 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of 6dylan6/jdpro, a JavaScript project with 4,440 GitHub stars. SynthScan v2.0 examined 22,872 lines of code across 155 source files, recording 76 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 4.0 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).

4.0
Adjusted Score
4.0
Raw Score
100%
Time Factor
2026-07-12
Last Push
4.4K
Stars
JavaScript
Language
22.9K
Lines of Code
155
Files
76
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 0HIGH 2MEDIUM 7LOW 67

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 76 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.

Excessive Try-Catch Wrapping39 hits · 46 pts
SeverityFileLineSnippetContext
LOWjd_beans_7days.py82 except Exception as e:CODE
LOWjd_beans_7days.py113 except Exception:CODE
LOWjd_beans_7days.py223 except Exception as e:CODE
LOWjd_beans_7days.py242 except Exception as e:CODE
LOWjd_beans_7days.py263 except Exception as e:CODE
LOWjd_beans_7days.py279 except Exception as e:CODE
MEDIUMjd_beans_7days.py185def get_beans_7days(ck):CODE
MEDIUMjd_beans_7days.py228def get_total_beans(ck):CODE
MEDIUMjd_beans_7days.py246def get_bean_data(i,ck):CODE
MEDIUMjd_beans_7days.py266def query():CODE
LOWjd_wskey.py32except Exception as e:CODE
LOWjd_wskey.py39except Exception as err:CODE
LOWjd_wskey.py152 except Exception as err:CODE
LOWjd_wskey.py163 except Exception as err:CODE
LOWjd_wskey.py195 except Exception as err:CODE
LOWjd_wskey.py216 except Exception as err:CODE
LOWjd_wskey.py223 except Exception as err:CODE
LOWjd_wskey.py266 except Exception as err:CODE
LOWjd_wskey.py353 except Exception as err:CODE
LOWjd_wskey.py361 except Exception as err:CODE
LOWjd_wskey.py402 except Exception as err:CODE
LOWjd_wskey.py431 except Exception as err:CODE
LOWjd_wskey.py446 except Exception as err:CODE
LOWjd_wskey.py487 except Exception as err:CODE
LOWjd_wskey.py502 except Exception as err: # 捕捉异常CODE
LOWjd_wsck.py76 except Exception as e:CODE
LOWjd_wsck.py260 except Exception as e2:CODE
LOWjd_wsck.py287 except Exception as error:CODE
LOWjd_wsck.py323 except Exception as error:CODE
LOWjd_wsck.py341 except Exception as error:CODE
LOWsendNotify.py200 except Exception as e:CODE
LOWsendNotify.py257 except Exception as e:CODE
LOWsendNotify.py332 except Exception as e:CODE
MEDIUMsendNotify.py169def telegram_bot(title, content):CODE
MEDIUMsendNotify.py237def pushplus_bot(title, content):CODE
MEDIUMsendNotify.py304def wecom_app(title, content):CODE
LOWjd_taskop.py49 except Exception:CODE
LOWjd_taskop.py63 except Exception:CODE
LOWjd_taskop.py190 except Exception:CODE
Over-Commented Block19 hits · 19 pts
SeverityFileLineSnippetContext
LOWsendNotify.js21const exec = require('child_process').exec;COMMENT
LOWsendNotify.js41//(环境变量名 DEER_KEY)COMMENT
LOWsendNotify.js801 // //缓存文件中有没有这个账号,调用京东接口获取别名,并更新缓存文件COMMENT
LOWjdCookie.js21// console.log(`请勿使用github action运行此脚本,无论你是从你自己的私库还是其他哪里拉取的源代码,都会导致我被封号\n`);COMMENT
LOWjd_wskey.py581 res = ql_api("POST", api, body)COMMENT
LOWjd_wskey.py601# continue # 循环继续COMMENT
LOWjd_wskey.py621# url = str(base64.b64decode(i).decode()) # 设置 url地址 [str]COMMENT
LOWjd_sharecode.sh101BreakHelpType="0" ## 屏蔽模式COMMENT
LOWjd_sharecode.sh121 #JDSGMH_SHARECODESCOMMENT
LOWjd_sharecode.sh141 #ForOtherCfdCOMMENT
LOWjd_sharecode.sh161 #"$repo"_jd_bookshopCOMMENT
LOWjd_sharecode.sh181 #JxncCOMMENT
LOWjd_sharecode.sh201 #京东赚赚COMMENT
LOWdocker/task_before.sh1#!/usr/bin/env bashCOMMENT
LOWdocker/task_before.sh21 jd_farmshareCOMMENT
LOWdocker/task_before.sh41 HealthCOMMENT
LOWdocker/task_before.sh61 #京喜财富岛COMMENT
LOWdocker/task_before.sh81 #JDSGMH_SHARECODES ## 11、闪购盲盒互助码COMMENT
LOWfunction/sendNotify.js41//(环境变量名 DEER_KEY)COMMENT
Cross-Language Confusion2 hits · 10 pts
SeverityFileLineSnippetContext
HIGHjd_beans_7days.py49 return f'jdapp;iPhone;10.0.4;{iosVer};{uuid};network/wifi;ADID/{ADID};model/iPhone{iPhone},1;addressid/{addressiCODE
HIGHjd_wsck.py41 UserAgent=f'jdapp;iPhone;10.0.4;{iosVer};{uuid};network/wifi;ADID/{ADID};model/iPhone{iPhone},1;addressid/{addressidCODE
Deep Nesting10 hits · 10 pts
SeverityFileLineSnippetContext
LOWjd_beans_7days.py185CODE
LOWjd_beans_7days.py246CODE
LOWjd_beans_7days.py118CODE
LOWjd_wskey.py158CODE
LOWjd_wskey.py316CODE
LOWjd_wsck.py345CODE
LOWjd_wsck.py375CODE
LOWjd_wsck.py421CODE
LOWjd_wsck.py462CODE
LOWsendNotify.py390CODE
Unused Imports3 hits · 3 pts
SeverityFileLineSnippetContext
LOWsendNotify.py6CODE
LOWsendNotify.py16CODE
LOWsendNotify.py17CODE
AI Structural Patterns2 hits · 2 pts
SeverityFileLineSnippetContext
LOWjd_wskey.py531CODE
LOWjd_wsck.py373CODE
Hyper-Verbose Identifiers1 hit · 1 pts
SeverityFileLineSnippetContext
LOWjdCookie.js235function GetCurrentActivityScriptFileName() {CODE