スキル citation-management
📦

citation-management

コンテンツリビジョン r1 中リスク 🌐 ネットワークアクセス🔑 環境変数📁 ファイルシステムへのアクセス⚙️ 外部コマンド

学術引用と BibTeX の管理

学術引用の作業は、メタデータ、DOI、BibTeX エントリの同期がずれてしまうため、しばしば破綻します。このスキルは、信頼性の高い研究参考文献のために、検索、抽出、検証、整形のワークフローを提供します。

対応: Claude Codex Code(CC)
⚠️ 50 不十分

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト
Review the Skillstore skill "citation-management" from https://skillstore.io/skills/k-dense-ai-citation-management.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-citation-management/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/k-dense-ai-citation-management.md 署名済み manifest GET /api/skills/k-dense-ai-citation-management/manifest 署名済み lockfile GET /api/skills/k-dense-ai-citation-management/lockfile

テストする

「citation-management」を使用しています。 学術誌論文の DOI

期待される結果:

citation key、authors、title、journal、publication year、DOI、ソースメタデータのメモを含む、検証済みの論文引用。

「citation-management」を使用しています。 免疫療法の臨床試験に関する PubMed クエリ

期待される結果:

タイトル、著者、ジャーナル、年、PMID、利用可能な場合は抄録、推奨引用レコードを含む、順位付けされた論文リスト。

「citation-management」を使用しています。 重複エントリと欠落フィールドがある BibTeX ファイル

期待される結果:

原稿提出前の重大なエラー、警告、重複グループ、推奨修正を一覧にした検証サマリー。

セキュリティ監査

中リスク
v9 • 2026/7/9 バージョン別レポートを開く

Most static alerts are false positives from Markdown code fences, BibTeX examples, documentation links, placeholder API keys, DOI strings, and readable Python scripts. Confirmed risks are executable network clients, optional environment credential handling, user-directed file writes, and a Google Scholar free-proxy option. No prompt-injection override text was found in the reviewed skill files.

14
スキャンされたファイル
8,213
解析済み行数
40
レビュー項目
0
誤検知を無視

確認済みのセキュリティ上の懸念 (4)

中
scripts/search_google_scholar.py:32
System reconnaissance
use_proxy: Use free proxy (helps avoid rate limiting)
The Google Scholar tool offers a free-proxy mode to avoid rate limiting. That can disclose queries to untrusted proxies and bypass provider controls.
中
scripts/search_google_scholar.py:220
System reconnaissance
help='Use free proxy to avoid rate limiting'
The Google Scholar tool offers a free-proxy mode to avoid rate limiting. That can disclose queries to untrusted proxies and bypass provider controls.
中
scripts/search_google_scholar.py:32scripts/search_google_scholar.py:37-42scripts/search_google_scholar.py:218-220
Free Proxy Use for Google Scholar Queries
The Google Scholar script supports a free-proxy mode described as a way to avoid rate limiting. This can disclose research queries to untrusted proxies and bypass provider controls.
The script explicitly creates FreeProxies and exposes a --use-proxy option. The intent is clear from the help text and implementation.
中
SKILL.md:36-45SKILL.md:48-52
Unexpected Cross-Skill Image Generation Recommendation
SKILL.md recommends default scientific schematic generation through another skill and an unbundled generate_schematic.py command. This can trigger unrelated external processing during citation work.
The text explicitly asks for default schematic generation and names an external image-generation workflow. It is not direct malware, but it broadens the skill behavior beyond citation management.
機能レビュー項目 (40)

これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。

高
scripts/extract_metadata.py:162
Generic API/secret keys
api_key = os.getenv('NCBI_API_KEY')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/extract_metadata.py:163
Generic API/secret keys
if api_key:
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/extract_metadata.py:164
Generic API/secret keys
params['api_key'] = api_key
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:20
Generic API/secret keys
def __init__(self, api_key: Optional[str] = None, email: Optional[str] = None):
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:25
Generic API/secret keys
api_key: NCBI API key (optional but recommended)
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:28
Generic API/secret keys
self.api_key = api_key or os.getenv('NCBI_API_KEY', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:34
Generic API/secret keys
self.delay = 0.11 if self.api_key else 0.34 # 10/sec with key, 3/sec without
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:79
Generic API/secret keys
if self.api_key:
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:80
Generic API/secret keys
params['api_key'] = self.api_key
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:129
Generic API/secret keys
if self.api_key:
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:130
Generic API/secret keys
params['api_key'] = self.api_key
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:329
Generic API/secret keys
help='NCBI API key (or set NCBI_API_KEY env var)'
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
高
scripts/search_pubmed.py:360
Generic API/secret keys
searcher = PubMedSearcher(api_key=args.api_key, email=args.email)
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/doi_to_bibtex.py:188
Python file write/append
with open(args.output, 'w', encoding='utf-8') as f:
The script writes generated citations, search results, formatted BibTeX, or reports to a user-provided path. This is expected output behavior but is real filesystem modification and can overwrite files.
中
scripts/extract_metadata.py:558
Python file write/append
with open(args.output, 'w', encoding='utf-8') as f:
The script writes generated citations, search results, formatted BibTeX, or reports to a user-provided path. This is expected output behavior but is real filesystem modification and can overwrite files.
中
scripts/extract_metadata.py:32
Python getenv function
self.email = email or os.getenv('NCBI_EMAIL', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/extract_metadata.py:162
Python getenv function
api_key = os.getenv('NCBI_API_KEY')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/extract_metadata.py:32
getenv function call
self.email = email or os.getenv('NCBI_EMAIL', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/extract_metadata.py:162
getenv function call
api_key = os.getenv('NCBI_API_KEY')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/format_bibtex.py:284
Python file write/append
with open(output_file, 'w', encoding='utf-8') as f:
The script writes generated citations, search results, formatted BibTeX, or reports to a user-provided path. This is expected output behavior but is real filesystem modification and can overwrite files.
中
scripts/search_google_scholar.py:271
Python file write/append
with open(args.output, 'w', encoding='utf-8') as f:
The script writes generated citations, search results, formatted BibTeX, or reports to a user-provided path. This is expected output behavior but is real filesystem modification and can overwrite files.
中
scripts/search_pubmed.py:389
Python file write/append
with open(args.output, 'w', encoding='utf-8') as f:
The script writes generated citations, search results, formatted BibTeX, or reports to a user-provided path. This is expected output behavior but is real filesystem modification and can overwrite files.
中
scripts/search_pubmed.py:28
Python getenv function
self.api_key = api_key or os.getenv('NCBI_API_KEY', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/search_pubmed.py:29
Python getenv function
self.email = email or os.getenv('NCBI_EMAIL', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/search_pubmed.py:28
getenv function call
self.api_key = api_key or os.getenv('NCBI_API_KEY', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/search_pubmed.py:29
getenv function call
self.email = email or os.getenv('NCBI_EMAIL', '')
The script reads optional NCBI_API_KEY or NCBI_EMAIL values, or forwards an API key parameter to PubMed requests. This is legitimate for NCBI rate limits but still handles environment credentials.
中
scripts/validate_citations.py:486
Python file write/append
with open(args.report, 'w', encoding='utf-8') as f:
The script writes generated citations, search results, formatted BibTeX, or reports to a user-provided path. This is expected output behavior but is real filesystem modification and can overwrite files.
低
scripts/doi_to_bibtex.py:18
Python HTTP libraries
self.session = requests.Session()
The script uses the requests library as part of citation lookup and validation workflows. This is expected functionality but confirms external network capability.
低
scripts/doi_to_bibtex.py:65
Python HTTP libraries
except requests.exceptions.Timeout:
The script uses the requests library as part of citation lookup and validation workflows. This is expected functionality but confirms external network capability.
低
scripts/doi_to_bibtex.py:68
Python HTTP libraries
except requests.exceptions.RequestException as e:
The script uses the requests library as part of citation lookup and validation workflows. This is expected functionality but confirms external network capability.
低
scripts/doi_to_bibtex.py:43
Hardcoded URL
url = f'https://doi.org/{doi}'
The script builds a doi.org URL and performs an HTTP request to fetch BibTeX metadata. This sends user-provided DOI identifiers to an external service.
低
scripts/extract_metadata.py:28
Python HTTP libraries
self.session = requests.Session()
The script uses the requests library as part of citation lookup and validation workflows. This is expected functionality but confirms external network capability.
低
scripts/extract_metadata.py:108
Hardcoded URL
url = f'https://api.crossref.org/works/{doi}'
The script constructs requests to CrossRef, PubMed E-utilities, or arXiv to retrieve citation metadata. This expected behavior sends identifiers to external scholarly APIs.
低
scripts/extract_metadata.py:151
Hardcoded URL
url = f'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi'
The script constructs requests to CrossRef, PubMed E-utilities, or arXiv to retrieve citation metadata. This expected behavior sends identifiers to external scholarly APIs.
低
scripts/extract_metadata.py:223
Hardcoded URL
url = 'http://export.arxiv.org/api/query'
The script constructs requests to CrossRef, PubMed E-utilities, or arXiv to retrieve citation metadata. This expected behavior sends identifiers to external scholarly APIs.
低
scripts/search_pubmed.py:31
Python HTTP libraries
self.session = requests.Session()
The script uses the requests library as part of citation lookup and validation workflows. This is expected functionality but confirms external network capability.
低
scripts/search_pubmed.py:30
Hardcoded URL
self.base_url = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/'
The script hardcodes the PubMed E-utilities base URL and uses it for searches and metadata fetches. This is expected but confirms external network access.
低
scripts/validate_citations.py:19
Python HTTP libraries
self.session = requests.Session()
The script uses the requests library as part of citation lookup and validation workflows. This is expected functionality but confirms external network capability.
低
scripts/validate_citations.py:212
Hardcoded URL
url = f'https://doi.org/{doi}'
The validator contacts doi.org and CrossRef when DOI checking is enabled. This expected behavior sends DOI values to external services.
低
scripts/validate_citations.py:217
Hardcoded URL
crossref_url = f'https://api.crossref.org/works/{doi}'
The validator contacts doi.org and CrossRef when DOI checking is enabled. This expected behavior sends DOI values to external services.

リスク要因

🌐 ネットワークアクセス (76)
assets/bibtex_template.bib:87 assets/bibtex_template.bib:187 assets/bibtex_template.bib:201 assets/bibtex_template.bib:214 assets/bibtex_template.bib:165 assets/citation_checklist.md:253 references/bibtex_formatting.md:317 references/bibtex_formatting.md:390 references/bibtex_formatting.md:589 references/bibtex_formatting.md:600 references/bibtex_formatting.md:612 references/bibtex_formatting.md:805 references/bibtex_formatting.md:885 references/bibtex_formatting.md:293 references/citation_validation.md:294 references/citation_validation.md:295 references/citation_validation.md:300 references/metadata_extraction.md:132 references/metadata_extraction.md:206 references/metadata_extraction.md:290 references/metadata_extraction.md:297 references/metadata_extraction.md:305 references/metadata_extraction.md:306 references/metadata_extraction.md:340 references/metadata_extraction.md:517 references/metadata_extraction.md:594 references/metadata_extraction.md:607 references/metadata_extraction.md:608 references/metadata_extraction.md:609 references/metadata_extraction.md:612 references/metadata_extraction.md:613 references/metadata_extraction.md:616 references/metadata_extraction.md:617 references/metadata_extraction.md:630 references/metadata_extraction.md:729 references/pubmed_search.md:380 references/pubmed_search.md:414 references/pubmed_search.md:438 references/pubmed_search.md:453 scripts/doi_to_bibtex.py:18 scripts/doi_to_bibtex.py:65 scripts/doi_to_bibtex.py:68 scripts/doi_to_bibtex.py:35 scripts/doi_to_bibtex.py:36 scripts/doi_to_bibtex.py:37 scripts/doi_to_bibtex.py:38 scripts/doi_to_bibtex.py:43 scripts/extract_metadata.py:28 scripts/extract_metadata.py:108 scripts/extract_metadata.py:129 scripts/extract_metadata.py:151 scripts/extract_metadata.py:223 scripts/extract_metadata.py:235 scripts/extract_metadata.py:271 scripts/format_bibtex.py:149 scripts/format_bibtex.py:150 scripts/search_pubmed.py:31 scripts/search_pubmed.py:30 scripts/validate_citations.py:19 scripts/validate_citations.py:212 scripts/validate_citations.py:217 SKILL.md:177 SKILL.md:518 SKILL.md:644 SKILL.md:1056 SKILL.md:1057 SKILL.md:1058 SKILL.md:1061 SKILL.md:1062 SKILL.md:1063 SKILL.md:1064 SKILL.md:1067 SKILL.md:1068 SKILL.md:1069 SKILL.md:1072 SKILL.md:1073
🔑 環境変数 (32)
references/metadata_extraction.md:210 references/pubmed_search.md:504 references/pubmed_search.md:504 references/pubmed_search.md:376 references/pubmed_search.md:385 references/pubmed_search.md:410 references/pubmed_search.md:418 references/pubmed_search.md:442 references/pubmed_search.md:494 references/pubmed_search.md:500 references/pubmed_search.md:504 scripts/extract_metadata.py:32 scripts/extract_metadata.py:162 scripts/extract_metadata.py:32 scripts/extract_metadata.py:162 scripts/extract_metadata.py:162 scripts/extract_metadata.py:163 scripts/extract_metadata.py:164 scripts/search_pubmed.py:28 scripts/search_pubmed.py:29 scripts/search_pubmed.py:28 scripts/search_pubmed.py:29 scripts/search_pubmed.py:20 scripts/search_pubmed.py:25 scripts/search_pubmed.py:28 scripts/search_pubmed.py:34 scripts/search_pubmed.py:79 scripts/search_pubmed.py:80 scripts/search_pubmed.py:129 scripts/search_pubmed.py:130 scripts/search_pubmed.py:329 scripts/search_pubmed.py:360
📁 ファイルシステムへのアクセス (6)
scripts/doi_to_bibtex.py:188 scripts/extract_metadata.py:558 scripts/format_bibtex.py:284 scripts/search_google_scholar.py:271 scripts/search_pubmed.py:389 scripts/validate_citations.py:486
⚙️ 外部コマンド (99)
SKILL.md:44-46 SKILL.md:46-79 SKILL.md:79-91 SKILL.md:91-93 SKILL.md:93-94 SKILL.md:94-95 SKILL.md:95-96 SKILL.md:96-97 SKILL.md:97-113 SKILL.md:113-126 SKILL.md:126-128 SKILL.md:128-129 SKILL.md:129-130 SKILL.md:130 SKILL.md:131 SKILL.md:132-133 SKILL.md:133-151 SKILL.md:151-160 SKILL.md:160-166 SKILL.md:166-181 SKILL.md:181-183 SKILL.md:183-222 SKILL.md:222-225 SKILL.md:225-226 SKILL.md:226-227 SKILL.md:227-228 SKILL.md:228-229 SKILL.md:229-230 SKILL.md:230-234 SKILL.md:234-260 SKILL.md:260-266 SKILL.md:266-291 SKILL.md:291-308 SKILL.md:308-321 SKILL.md:321-323 SKILL.md:323-353 SKILL.md:353-380 SKILL.md:380-388 SKILL.md:388-423 SKILL.md:423-427 SKILL.md:427-433 SKILL.md:433-434 SKILL.md:434-435 SKILL.md:435-436 SKILL.md:436-438 SKILL.md:438-447 SKILL.md:447-484 SKILL.md:484 SKILL.md:485-487 SKILL.md:487-488 SKILL.md:488-496 SKILL.md:496-499 SKILL.md:499-511 SKILL.md:511-519 SKILL.md:519-523 SKILL.md:523-531 SKILL.md:531-534 SKILL.md:534-544 SKILL.md:544-553 SKILL.md:553-569 SKILL.md:569-586 SKILL.md:586-600 SKILL.md:600-618 SKILL.md:618-632 SKILL.md:632-655 SKILL.md:655-670 SKILL.md:670-687 SKILL.md:687-702 SKILL.md:702-724 SKILL.md:724-737 SKILL.md:737-752 SKILL.md:752-878 SKILL.md:878-924 SKILL.md:924-928 SKILL.md:928-940 SKILL.md:940-944 SKILL.md:944-975 SKILL.md:975-979 SKILL.md:979-997 SKILL.md:997-1034 SKILL.md:1034-1035 SKILL.md:1035-1036 SKILL.md:1036-1037 SKILL.md:1037-1038 SKILL.md:1038-1039 SKILL.md:1039-1041 SKILL.md:1041-1042 SKILL.md:1042-1043 SKILL.md:1043-1044 SKILL.md:1044-1045 SKILL.md:1045-1046 SKILL.md:1046-1047 SKILL.md:1047-1049 SKILL.md:1049-1050 SKILL.md:1050-1051 SKILL.md:1051-1079 SKILL.md:1079-1089 SKILL.md:1089-1093 SKILL.md:1093-1097

検出されたパターン

System reconnaissance×2
監査者: codex 監査履歴を表示 →
このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く
セキュリティ評価

レポートリンクをコピー

https://skillstore.io/skills/k-dense-ai-citation-management/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/k-dense-ai-citation-management/security.svg)](https://skillstore.io/skills/k-dense-ai-citation-management?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/k-dense-ai-citation-management?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/k-dense-ai-citation-management/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/k-dense-ai-citation-management.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
学術引用 (APA · BibTeX · CFF)

APA形式の引用

K-Dense-AI. (2026). citation-management security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-citation-management/audits/9

BibTeX形式の引用

@techreport{k-dense-ai-k-dense-ai-citation-management-2026, author = {K-Dense-AI}, title = {citation-management security audit report (audit version 9)}, institution = {Skillstore}, year = {2026}, number = {9}, url = {https://skillstore.io/skills/k-dense-ai-citation-management/audits/9}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "citation-management security audit report (audit version 9)" version: "unspecified" type: report authors: - name: "K-Dense-AI" date-released: "2026-07-09" url: "https://skillstore.io/skills/k-dense-ai-citation-management/audits/9" identifiers: - type: other value: "skillstore:k-dense-ai-citation-management:audit:9" description: "Skillstore immutable audit report identifier"

バリアントを比較

インストール可能なバリアント 2 件

各作者のスキルは個別のインストール項目として維持されます。推奨バリアントは Skillstore の証拠で順位付けされます。

このバリアントが首位の理由

最近メンテナンス済み
K-Dense-AI 推奨 現在

k-dense-ai-citation-management

Skillstore スコア 50
証拠の信頼度 高
Skillstore 利用状況 41
更新済み

2026-09-09

davila7

davila7-citation-management

Skillstore スコア 50
証拠の信頼度 高
Skillstore 利用状況 41
更新済み

2026-09-09

Skillstore スコア

このスコアの理由 証拠の信頼度: 高
82
アーキテクチャ
85
保守性
87
コンテンツ
71
コミュニティ
70
仕様準拠

作成できるもの

文献レビュー用の参考文献一覧を作成

論文を探し、メタデータを収集し、研究レビュー用に一貫性のある BibTeX エントリを生成します。

学位論文の参考文献ファイルを準備

提出前に、増え続ける BibTeX ファイルをクリーンアップ、並べ替え、重複排除、検証します。

原稿の引用をチェック

出版レビューのために、DOI 形式、必須フィールド、重複キー、引用の完全性を検証します。

これらのプロンプトを試す

DOI を変換 
引用管理スキルを使用して、この DOI をクリーンな BibTeX エントリに変換してください: [DOI]。author、title、journal、year、DOI フィールドを確認してください。
PubMed を検索 
[start year] から [end year] までの [topic] について PubMed を検索してください。最も関連性の高い論文を、引用情報と各結果の短いメモ付きで返してください。
BibTeX ファイルをクリーンアップ 
[file name] について、重複エントリ、欠落している必須フィールド、無効な年、DOI の問題をレビューしてください。優先順位付きのクリーンアップ計画を提示してください。
参考文献一覧を作成して監査 
[research question] の参考文献一覧を作成してください。PubMed と Google Scholar を検索し、メタデータを抽出し、引用を検証し、手動レビューが必要な不確かな記録にフラグを付けてください。

ベストプラクティス

  • 提出前に、生成された引用を出版社または DOI メタデータと照合して確認してください。
  • 出力ファイルはプロジェクトの参考文献ディレクトリに保存し、変更をバージョン管理でレビューしてください。
  • プロバイダーの API キーは必要な場合にのみ使用し、環境変数に保持してください。

回避

  • 承認されていない限り、非公開の原稿テキストを外部検索に貼り付けないでください。
  • 機密性の高い研究クエリに無料プロキシを使用しないでください。
  • 変更をレビューせずに共有 BibTeX ファイルを上書きしないでください。

よくある質問

このスキルで PubMed を検索できますか?
はい。PubMed E-utilities のガイダンスと、引用メタデータを検索してエクスポートするためのスクリプトが含まれています。
Google Scholar を検索できますか?
はい。scholarly Python パッケージを使用した Google Scholar ワークフローが含まれています。
BibTeX エントリを作成できますか?
はい。DOI、PMID、arXiv、URL 識別子を BibTeX 形式の引用エントリに変換できます。
既存の参考文献を検証できますか?
はい。必須フィールド、年、DOI 形式、重複キー、重複 DOI、任意の DOI 解決をチェックします。
API キーは必要ですか?
ほとんどの機能は API キーなしで動作します。NCBI キーは任意で、PubMed のレート制限を改善します。
スクリプトを実行する前に、ユーザーは何を確認すべきですか?
ユーザーは、ネットワークの送信先、出力ファイルパス、API キーの取り扱い、プロバイダーのレート制限を確認する必要があります。

開発者情報

作成者

K-Dense-AI

ライセンス

MIT License

Skillstore リビジョン

r1

バージョンに関する注意

作者はバージョンを宣言していません。

リポジトリ

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/citation-management

参照

26421118b848d9f1efc0aa169d8a7a9e7e0a877e

メンテナンスの新しさ

2026/7/20

利用状況

31 ダウンロード · 263 閲覧

ファイル構成

📁 assets/

📄 bibtex_template.bib

📄 citation_checklist.md

📁 references/

📄 bibtex_formatting.md

📄 citation_validation.md

📄 google_scholar_search.md

📄 metadata_extraction.md

📄 pubmed_search.md

📁 scripts/

📄 doi_to_bibtex.py

📄 extract_metadata.py

📄 format_bibtex.py

📄 search_google_scholar.py

📄 search_pubmed.py

📄 validate_citations.py

📄 SKILL.md

K-Dense-AI のその他のスキル

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