AI Slop Code Risk Monitor

zotero-chinese/styles

SlopCodeMonitor badge for zotero-chinese/styles Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

中文 CSL 样式 - Zotero 中文社区

0.1 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for zotero-chinese/styles, a XML project with 6,345 GitHub stars. SynthScan examined 607,316 lines of code across 894 source files, recording 43 pattern matches distributed across 8 syntactic categories. The legacy adjusted pattern signal is 0.1 (Low 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.

0.1
Adjusted Signal
0.1
Raw Pattern Score
100%
Time Factor
2026-08-23
Last Push
6.3K
Stars
XML
Language
607.3K
Lines of Code
894
Files
43
Pattern Hits
2026-10-31
Scan Date
0.01
HC Hit Rate

Risk Review · Payload v1

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

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 0.6/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 39 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.0/100 · LOW

Are imports declared and package/API names verified? 1 finding(s).

Agent Over-Engineering Ratio 0.2/100 · LOW

Are wrappers, guards, and repeated structures necessary? 10 finding(s).

PR Review Velocity Impact 0.8/100 · LOW

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 8MEDIUM 10LOW 25

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 8 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.

Synthetic Comment Markers5 hits · 25 pts
SeverityFileLineSnippetContext
HIGHsrc/科学与社会/items.json215 "title": "Fabrication and Errors in the Bibliographic Citations Generated by ChatGPT",CODE
HIGHsrc/科学与社会/metadata.json28 "bibliography": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\CODE
HIGHsrc/科学与社会/metadata.json29 "test_result": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\"CODE
HIGHsrc/科学与社会/index.md79 <div class="csl-left-margin">[9] </div><div class="csl-right-inline">WALTERS W H, WILDER E I. Fabrication and ErrorsCODE
HIGHsrc/科学与社会/index.md197 <div class="csl-left-margin">[9] </div><div class="csl-right-inline">WALTERS W H, WILDER E I. Fabrication and ErrorsCODE
Empty Error Handlers3 hits · 15 pts
SeverityFileLineSnippetContext
HIGHscripts/check_style.py564except:CODE
HIGHscripts/check_style.py571except:CODE
HIGHscripts/check_style.py581except:CODE
Deep Nesting12 hits · 12 pts
SeverityFileLineSnippetContext
LOWscripts/check_style.py197CODE
LOWscripts/check_style.py239CODE
LOWscripts/check_style.py306CODE
LOWscripts/check_style.py367CODE
LOWscripts/check_style.py424CODE
LOWscripts/check_style.py512CODE
LOWscripts/csl_style.py266CODE
LOWscripts/csl_style.py62CODE
LOWscripts/check_links.py35CODE
LOWscripts/make_bilingual_style.py107CODE
LOWscripts/make_fullwidth_style.py54CODE
LOWscripts/make_fullwidth_style.py184CODE
Slop Phrases6 hits · 12 pts
SeverityFileLineSnippetContext
MEDIUMsrc/GB-T-7714—2025(注释,双语)/items.json1086 "title": "Word associations as a language model for generative and creative tasks",CODE
MEDIUMsrc/GB-T-7714—2025(注释,双语)/metadata.json22 "test_result": "<sup>1</sup> 博伯尔. 银行业的未来与人工智能[M]. 徐超,译. 北京:清华大学出版社,2023:35.<br>\n<sup>2</sup> 図書館用語辞典編集委員会. 最新図書館用語大辞典CODE
MEDIUMsrc/GB-T-7714—2025(顺序编码,双语)/items.json1086 "title": "Word associations as a language model for generative and creative tasks",CODE
MEDIUMsrc/GB-T-7714—2025(顺序编码,双语)/metadata.json22 "test_result": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\"CODE
MEDIUMsrc/GB-T-7714—2025(著者-出版年,双语)/items.json1086 "title": "Word associations as a language model for generative and creative tasks",CODE
MEDIUMsrc/GB-T-7714—2025(著者-出版年,双语)/metadata.json22 "test_result": "<div class=\"csl-bib-body maxoffset-0 second-field-align-false hangingindent-true\">\n <div class=\"cCODE
AI Slop Vocabulary4 hits · 8 pts
SeverityFileLineSnippetContext
MEDIUMsrc/GB-T-7714—2025(注释,双语)/metadata.json22 "test_result": "<sup>1</sup> 博伯尔. 银行业的未来与人工智能[M]. 徐超,译. 北京:清华大学出版社,2023:35.<br>\n<sup>2</sup> 図書館用語辞典編集委員会. 最新図書館用語大辞典CODE
MEDIUMsrc/GB-T-7714—2025(顺序编码,双语)/metadata.json22 "test_result": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\"CODE
MEDIUMsrc/中国冶金/items.json1[{"id":"http://zotero.org/users/4181482/items/G9DZUTDI","type":"article-journal","abstract":"Deep neural network (DNN)\nCODE
MEDIUMsrc/GB-T-7714—2025(著者-出版年,双语)/metadata.json22 "test_result": "<div class=\"csl-bib-body maxoffset-0 second-field-align-false hangingindent-true\">\n <div class=\"cCODE
Hyper-Verbose Identifiers7 hits · 7 pts
SeverityFileLineSnippetContext
LOWscripts/csl_style.py254 def _make_contributor_element(self, root, elem_name, contributor):CODE
LOWscripts/make_bilingual_style.py13def find_all_macro_dependencies(elements, macro_dict):CODE
LOWscripts/make_bilingual_style.py43def find_reversed_dependencies(elements, macro_dict, reverse_macro_dependencies):CODE
LOWlib/types/citeproc.d.ts1335 export function stripXmlProcessingInstruction(xml: any): any;CODE
LOWlib/types/citeproc.d.ts1341 export function titlecaseSentenceOrNormal(CODE
LOWlib/types/citeproc.d.ts1390 function convertDateObjectToString(thedate: any): any;CODE
LOWlib/data/index.ts44export function getAllDefaultCitationItems(citation_format: string): {CODE
Over-Commented Block5 hits · 5 pts
SeverityFileLineSnippetContext
LOW.vitepress/config.ts121 .map((p) => `${dir}/${p}`)[0];COMMENT
LOW.vitepress/config.ts141 // } catch (e) {COMMENT
LOWscripts/check_style.py21COMMENT
LOWscripts/check_style.py541 # Possible improvements:COMMENT
LOWscripts/check_style.py581 except:COMMENT
Fake / Example Data1 hit · 1 pts
SeverityFileLineSnippetContext
LOWscripts/csl_style.py35 self.author = {"name": "John Doe", "email": "john_doe@gmail.com"}CODE