AI Slop Code RIsk Monitor

yuanzl77/IPTV

每天自动更新IPTV直播源,支持IPV4/IPV6双栈访问!自定义频道,高质量直播源,❌不含有广告。Automatically update IPTV live streaming sources every day, supporting IPV4/IPV6 dual stack access! Custom channels, high-quality live streaming sources, ❌ Does not contain advertisements.

56.5 High pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for yuanzl77/IPTV, a Python project with 2,125 GitHub stars. SynthScan examined 1,521 lines of code across 8 source files, recording 43 pattern matches distributed across 7 syntactic categories. The legacy adjusted pattern signal is 56.5 (High pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

56.5
Adjusted Signal
56.5
Raw Pattern Score
100%
Time Factor
2026-09-21
Last Push
2.1K
Stars
Python
Language
1.5K
Lines of Code
8
Files
43
Pattern Hits
2026-10-12
Scan Date
0.12
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 46.5/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 19 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.0/100 · LOW

Are imports declared and package/API names verified? 0 finding(s).

Agent Over-Engineering Ratio 89.7/100 · CRITICAL

Are wrappers, guards, and repeated structures necessary? 26 finding(s).

PR Review Velocity Impact 90.6/100 · CRITICAL

Which changes need focused human review? 43 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 1MEDIUM 12LOW 30

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 43 distinct pattern matches across 7 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Decorative Section Separators12 hits · 50 pts
SeverityFileLineSnippetContext
MEDIUM⚡config.py1# ═══════════════════════════════════════════════════════════════════COMMENT
MEDIUM⚡config.py4# ═══════════════════════════════════════════════════════════════════COMMENT
MEDIUM⚡config.py6# ── IP 优先级 ───────────────────────────────────────────────────────COMMENT
MEDIUM⚡config.py10# ── 源优先级 ────────────────────────────────────────────────────────COMMENT
MEDIUM⚡config.py17# ── 订阅源 ───────────────────────────────────────────────────────COMMENT
MEDIUM⚡config.py25# ── 酒店源 ────────────────────────────────────────────COMMENT
MEDIUMconfig.py37# ── URL 黑名单 ───────────────────────────────────────────────────────COMMENT
MEDIUMconfig.py45# ── 公告条目 ────────────────────────────────────────────────────────COMMENT
MEDIUM⚡config.py65# ── EPG 电子节目单 ────────────────────────────────────────────────────COMMENT
MEDIUM⚡config.py74# ── 质量检测 — HTTP 快筛 ─────────────────────────────────────────────COMMENT
MEDIUM⚡config.py82# ── 质量检测 — FFprobe 中度探测 ───────────────────────────────────────COMMENT
MEDIUMconfig.py102# ── 深度探测配置 ───────────────────────────────────────────────────────COMMENT
Deep Nesting13 hits · 13 pts
SeverityFileLineSnippetContext
LOWcheck.py142CODE
LOWcheck.py448CODE
LOWcheck.py522CODE
LOWfetch_hotel.py115CODE
LOWfetch_hotel.py133CODE
LOWmain.py14CODE
LOWmain.py32CODE
LOWmain.py66CODE
LOWmain.py126CODE
LOWmain.py176CODE
LOWmain.py215CODE
LOWmain.py271CODE
LOWmain.py308CODE
Excessive Try-Catch Wrapping9 hits · 10 pts
SeverityFileLineSnippetContext
LOWcheck.py76 except Exception as e:CODE
LOWcheck.py136 except Exception as e:CODE
LOWcheck.py220 except Exception as e:CODE
LOWcheck.py355 except Exception as e:CODE
LOWcheck.py376 except Exception:CODE
LOW⚡fetch_hotel.py21 except Exception as e:CODE
LOW⚡fetch_hotel.py31 except Exception as e:CODE
LOWfetch_hotel.py146 except Exception as e:CODE
LOWmain.py55 except Exception as e:CODE
Empty Error Handlers1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHcheck.py376except Exception:CODE
Over-Commented Block4 hits · 4 pts
SeverityFileLineSnippetContext
LOWconfig.py1# ═══════════════════════════════════════════════════════════════════COMMENT
LOWconfig.py41 "epg.pw/stream/",COMMENT
LOWconfig.py81COMMENT
LOWconfig.py101COMMENT
Modern Structural Boilerplate2 hits · 2 pts
SeverityFileLineSnippetContext
LOWcheck.py15logger = logging.getLogger(__name__)CODE
LOW⚡fetch_hotel.py11logger = logging.getLogger(__name__)CODE
Hyper-Verbose Identifiers2 hits · 2 pts
SeverityFileLineSnippetContext
LOWcheck.py370def _shutdown_ffprobe_executor():CODE
LOWmain.py253def _print_domain_suggestions(fail_domains: dict):CODE