Repository Analysis

awesome-vpn/awesome-vpn

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9.3 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of awesome-vpn/awesome-vpn, a Python project with 5,822 GitHub stars. SynthScan v2.0 examined 8,996 lines of code across 39 source files, recording 71 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 9.3 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).

9.3
Adjusted Score
9.3
Raw Score
100%
Time Factor
2026-07-14
Last Push
5.8K
Stars
Python
Language
9.0K
Lines of Code
39
Files
71
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 6LOW 64

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 71 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 Wrapping28 hits · 34 pts
SeverityFileLineSnippetContext
LOWmain.py150 except Exception as e:CODE
LOWmain.py289 except Exception as e:CODE
LOWmain.py309 except Exception:CODE
LOWmain.py320 except Exception:CODE
MEDIUMmain.py303def parse_link_simple(link):CODE
LOWcore/validator.py284 except Exception as exc:CODE
LOWcore/validator.py439 except Exception as e:CODE
LOWcore/validator.py450 except Exception:CODE
MEDIUMcore/validator.py113def tcp_ping(self, host, port, timeout=3):CODE
LOWcore/deduplicator.py111 except Exception as e:CODE
LOWcore/geo_utils.py49 except Exception as e:CODE
MEDIUMcore/geo_utils.py50 print(f"Error opening GeoLite2-City.mmdb: {e}")CODE
LOWcore/geo_utils.py63 except Exception:CODE
LOWcore/geo_utils.py82 except Exception:CODE
LOWcore/geo_utils.py97 except Exception:CODE
MEDIUMcore/geo_utils.py55def _resolve_to_ip(self, host):CODE
LOWcore/binary_manager.py23 except Exception as e:CODE
LOWcore/binary_manager.py83 except Exception as e:CODE
LOWcore/binary_manager.py176 except Exception as e:CODE
LOWcore/spider.py35 except Exception as e:CODE
LOWcore/spider.py180 except Exception as e:CODE
MEDIUMcore/spider.py181 print(f"Error fetching telegram {channel}: {e}")CODE
LOWcore/parsers/tool.py209 except Exception as e:CODE
MEDIUMcore/parsers/tool.py206def get_protocol(s):CODE
LOW…powers/plans/2026-03-22-singbox-crawler-integration.md639 except Exception as e:CODE
LOW…powers/plans/2026-03-22-singbox-crawler-integration.md741 except Exception as e:CODE
LOW…powers/plans/2026-03-22-singbox-crawler-integration.md762 except Exception:CODE
LOW…powers/plans/2026-03-22-singbox-crawler-integration.md773 except Exception:CODE
Deep Nesting21 hits · 21 pts
SeverityFileLineSnippetContext
LOWmain.py104CODE
LOWmain.py157CODE
LOWcore/validator.py463CODE
LOWcore/validator.py68CODE
LOWcore/validator.py226CODE
LOWcore/validator.py263CODE
LOWcore/validator.py292CODE
LOWcore/deduplicator.py41CODE
LOWcore/geo_utils.py66CODE
LOWcore/binary_manager.py87CODE
LOWcore/binary_manager.py103CODE
LOWcore/spider.py38CODE
LOWcore/spider.py222CODE
LOWcore/spider.py238CODE
LOWcore/spider.py272CODE
LOWcore/spider.py309CODE
LOWcore/parsers/clash2base64.py4CODE
LOWcore/parsers/vless.py4CODE
LOWcore/parsers/ss.py4CODE
LOWcore/parsers/vmess.py4CODE
LOWcore/converters/clash.py53CODE
Hyper-Verbose Identifiers9 hits · 10 pts
SeverityFileLineSnippetContext
LOWcore/spider.py128 def extract_subscription_links(self, text):CODE
LOWtests/test_clash_converter.py42def test_vmess_websocket_transport():CODE
LOWtests/test_clash_converter.py94def test_vless_grpc_transport():CODE
LOWtests/test_clash_converter.py169def test_trojan_websocket_transport():CODE
LOWtests/test_clash_converter.py231def test_tuic_alpn_string_normalized_to_list():CODE
LOWtests/test_clash_converter.py253def test_to_clash_proxies_filters_unsupported():CODE
LOWtests/test_clash_converter.py266def test_to_clash_proxies_empty_list():CODE
LOWtests/test_clash_converter.py270def test_vmess_default_tag_when_missing():CODE
LOWtests/test_clash_converter.py276def test_vmess_alter_id_default_zero():CODE
Unused Imports7 hits · 7 pts
SeverityFileLineSnippetContext
LOWcore/validator.py8CODE
LOWcore/binary_manager.py6CODE
LOWcore/spider.py3CODE
LOWcore/spider.py4CODE
LOWcore/spider.py7CODE
LOWcore/spider.py7CODE
LOWcore/parsers/http.py2CODE
Cross-Language Confusion1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHcore/validator.py241 pos += 5 # skip null, type, classCODE
Structural Annotation Overuse3 hits · 4 pts
SeverityFileLineSnippetContext
LOWREADME.md18### Step 1: Copy a subscription linkCOMMENT
LOWREADME.md41### Step 2: Download a client appCOMMENT
LOWREADME.md51### Step 3: Paste and connectCOMMENT
Modern Structural Boilerplate2 hits · 2 pts
SeverityFileLineSnippetContext
LOWmain.py42logger = logging.getLogger(__name__)CODE
LOWcore/converters/clash.py6logger = logging.getLogger(__name__)CODE