AI Slop Code RIsk Monitor

moshstudio/TAICHI-flet

基于flet的一款windows桌面应用,实现了浏览图片、音乐、小说、漫画、各种资源的功能。

15.0 Elevated pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for moshstudio/TAICHI-flet, a Python project with 4,739 GitHub stars. SynthScan examined 3,591 lines of code across 33 source files, recording 44 pattern matches distributed across 6 syntactic categories. The legacy adjusted pattern signal is 15.0 (Elevated 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.

15.0
Adjusted Signal
15.0
Raw Pattern Score
100%
Time Factor
2026-10-11
Last Push
4.7K
Stars
Python
Language
3.6K
Lines of Code
33
Files
44
Pattern Hits
2026-10-12
Scan Date
0.06
HC Hit Rate

Risk Review · v3

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

Cognitive Ownership Risk 16.6/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 13 finding(s).

Hallucinated Dependency & Supply Chain Risk 24.3/100 · LOW

Are imports declared and package/API names verified? 20 finding(s).

Agent Over-Engineering Ratio 26.4/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 12 finding(s).

PR Review Velocity Impact 55.4/100 · HIGH

Which changes need focused human review? 44 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 2MEDIUM 2LOW 40

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 44 distinct pattern matches across 6 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.

Unused Imports20 hits · 20 pts
SeverityFileLineSnippetContext
LOWui.py6CODE
LOWui.py6CODE
LOWui.py6CODE
LOWui.py6CODE
LOWui.py6CODE
LOWui.py6CODE
LOWui.py6CODE
LOWui.py7CODE
LOWstatics.py1CODE
LOWmethods/getbooks.py2CODE
LOWmethods/getbooks.py3CODE
LOWmethods/getcovareas.py2CODE
LOWmethods/getcovareas.py5CODE
LOWviews/mountain.py16CODE
LOWviews/mountain.py16CODE
LOWviews/treasure_dialogs/checkcovareas.py1CODE
LOWviews/treasure_dialogs/checkcovareas.py2CODE
LOWviews/treasure_dialogs/checkcovareas.py5CODE
LOWviews/treasure_dialogs/checkcovareas.py7CODE
LOWviews/treasure_dialogs/checkcovareas.py7CODE
Excessive Try-Catch Wrapping9 hits · 11 pts
SeverityFileLineSnippetContext
LOWui.py40 except Exception as e:CODE
MEDIUMui.py36def get_page(self, module_name):CODE
LOWutils.py44 except Exception as e:CODE
LOWviews/cense.py94 except Exception as e:CODE
LOWviews/mountain.py114 except Exception as e:CODE
LOWviews/mountain.py130 except Exception as e:CODE
LOWviews/mountain.py142 except Exception as e:CODE
MEDIUMviews/mountain.py135def save_img(self, e):CODE
LOWviews/immortality.py185 except Exception as e:CODE
Empty Error Handlers2 hits · 10 pts
SeverityFileLineSnippetContext
HIGHui.py8except:CODE
HIGHutils.py116except:CODE
Deep Nesting6 hits · 6 pts
SeverityFileLineSnippetContext
LOWmethods/video2ascii.py153CODE
LOWmethods/getbooks.py280CODE
LOWmethods/getmusics.py32CODE
LOWmethods/getmusics.py56CODE
LOWmethods/getmusics.py146CODE
LOWviews/treasure_dialogs/checkcovareas.py107CODE
Over-Commented Block6 hits · 6 pts
SeverityFileLineSnippetContext
LOWmethods/getimages.py41COMMENT
LOWviews/lyra.py261#COMMENT
LOWviews/cense.py101COMMENT
LOWviews/buddhist.py81#COMMENT
LOWviews/immortality.py441COMMENT
LOWviews/rain.py461# page.vertical_alignment = "center"COMMENT
AI Structural Patterns1 hit · 1 pts
SeverityFileLineSnippetContext
LOWmethods/getbooks.py15CODE