中文 CSL 样式 - Zotero 中文社区
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.
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.
Can maintainers explain intent, assumptions, and trade-offs? 39 finding(s).
Are imports declared and package/API names verified? 1 finding(s).
Are wrappers, guards, and repeated structures necessary? 10 finding(s).
Which changes need focused human review? 43 finding(s).
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.
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.
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.
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.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | src/科学与社会/items.json | 215 | "title": "Fabrication and Errors in the Bibliographic Citations Generated by ChatGPT", | CODE |
| HIGH | src/科学与社会/metadata.json | 28 | "bibliography": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\ | CODE |
| HIGH | src/科学与社会/metadata.json | 29 | "test_result": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\" | CODE |
| HIGH | src/科学与社会/index.md | 79 | <div class="csl-left-margin">[9] </div><div class="csl-right-inline">WALTERS W H, WILDER E I. Fabrication and Errors | CODE |
| HIGH | src/科学与社会/index.md | 197 | <div class="csl-left-margin">[9] </div><div class="csl-right-inline">WALTERS W H, WILDER E I. Fabrication and Errors | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | scripts/check_style.py | 564 | except: | CODE |
| HIGH | scripts/check_style.py | 571 | except: | CODE |
| HIGH | scripts/check_style.py | 581 | except: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/check_style.py | 197 | CODE | |
| LOW | scripts/check_style.py | 239 | CODE | |
| LOW | scripts/check_style.py | 306 | CODE | |
| LOW | scripts/check_style.py | 367 | CODE | |
| LOW | scripts/check_style.py | 424 | CODE | |
| LOW | scripts/check_style.py | 512 | CODE | |
| LOW | scripts/csl_style.py | 266 | CODE | |
| LOW | scripts/csl_style.py | 62 | CODE | |
| LOW | scripts/check_links.py | 35 | CODE | |
| LOW | scripts/make_bilingual_style.py | 107 | CODE | |
| LOW | scripts/make_fullwidth_style.py | 54 | CODE | |
| LOW | scripts/make_fullwidth_style.py | 184 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | src/GB-T-7714—2025(注释,双语)/items.json | 1086 | "title": "Word associations as a language model for generative and creative tasks", | CODE |
| MEDIUM | src/GB-T-7714—2025(注释,双语)/metadata.json | 22 | "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 |
| MEDIUM | src/GB-T-7714—2025(顺序编码,双语)/items.json | 1086 | "title": "Word associations as a language model for generative and creative tasks", | CODE |
| MEDIUM | src/GB-T-7714—2025(顺序编码,双语)/metadata.json | 22 | "test_result": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\" | CODE |
| MEDIUM | src/GB-T-7714—2025(著者-出版年,双语)/items.json | 1086 | "title": "Word associations as a language model for generative and creative tasks", | CODE |
| MEDIUM | src/GB-T-7714—2025(著者-出版年,双语)/metadata.json | 22 | "test_result": "<div class=\"csl-bib-body maxoffset-0 second-field-align-false hangingindent-true\">\n <div class=\"c | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | src/GB-T-7714—2025(注释,双语)/metadata.json | 22 | "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 |
| MEDIUM | src/GB-T-7714—2025(顺序编码,双语)/metadata.json | 22 | "test_result": "<div class=\"csl-bib-body maxoffset-5 second-field-align-flush hangingindent-false\">\n <div class=\" | CODE |
| MEDIUM | src/中国冶金/items.json | 1 | [{"id":"http://zotero.org/users/4181482/items/G9DZUTDI","type":"article-journal","abstract":"Deep neural network (DNN)\n | CODE |
| MEDIUM | src/GB-T-7714—2025(著者-出版年,双语)/metadata.json | 22 | "test_result": "<div class=\"csl-bib-body maxoffset-0 second-field-align-false hangingindent-true\">\n <div class=\"c | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/csl_style.py | 254 | def _make_contributor_element(self, root, elem_name, contributor): | CODE |
| LOW | scripts/make_bilingual_style.py | 13 | def find_all_macro_dependencies(elements, macro_dict): | CODE |
| LOW | scripts/make_bilingual_style.py | 43 | def find_reversed_dependencies(elements, macro_dict, reverse_macro_dependencies): | CODE |
| LOW | lib/types/citeproc.d.ts | 1335 | export function stripXmlProcessingInstruction(xml: any): any; | CODE |
| LOW | lib/types/citeproc.d.ts | 1341 | export function titlecaseSentenceOrNormal( | CODE |
| LOW | lib/types/citeproc.d.ts | 1390 | function convertDateObjectToString(thedate: any): any; | CODE |
| LOW | lib/data/index.ts | 44 | export function getAllDefaultCitationItems(citation_format: string): { | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | .vitepress/config.ts | 121 | .map((p) => `${dir}/${p}`)[0]; | COMMENT |
| LOW | .vitepress/config.ts | 141 | // } catch (e) { | COMMENT |
| LOW | scripts/check_style.py | 21 | COMMENT | |
| LOW | scripts/check_style.py | 541 | # Possible improvements: | COMMENT |
| LOW | scripts/check_style.py | 581 | except: | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/csl_style.py | 35 | self.author = {"name": "John Doe", "email": "john_doe@gmail.com"} | CODE |