스킬 nature-literature-pipeline

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nature-literature-pipeline

Name: nature-literature-pipeline
Author: yuan1z0825

콘텐츠 리비전 r1 안전 🌐 네트워크 접근⚙️ 외부 명령어

Automate Your Research Literature Pipeline

Keeping current with research requires repeated searching, filtering, reading, and organizing. This skill defines a configurable workflow for recurring discovery, delivery, and archival.

지원: Claude Codex Code(CC)

🥉 78 브론즈

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에이전트 요청

Review the Skillstore skill "nature-literature-pipeline" from https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline.md and its manifest at https://skillstore.io/api/skills/yuan1z0825-nature-literature-pipeline/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/yuan1z0825-nature-literature-pipeline.md 서명된 manifest GET /api/skills/yuan1z0825-nature-literature-pipeline/manifest 서명된 lockfile GET /api/skills/yuan1z0825-nature-literature-pipeline/lockfile

테스트해 보기

"nature-literature-pipeline" 사용 중입니다. Track machine learning methods for marine concrete durability during the last seven days.

예상 결과:

A ranked digest lists five deduplicated papers with scores, reading depth, methods, specific results, limitations, and stable source links.

"nature-literature-pipeline" 사용 중입니다. Check whether a four-component material system has been studied and document the search.

예상 결과:

A concise conclusion distinguishes a confirmed gap from partial overlap.
A subsystem table classifies direct, adjacent, and unrelated evidence.
A reproducibility section records search terms, sources, hit counts, and follow-up work.

"nature-literature-pipeline" 사용 중입니다. Prepare a reusable daily literature push for a research group.

예상 결과:

A configurable profile defines topics, exclusions, source priority, scoring weights, delivery target, archive settings, and a verification checklist.

보안 감사

안전

v2 • 2026. 8. 18. 버전별 보고서 열기

All 28 static detections are false positives caused by Markdown formatting, benign examples, ordinary prose, or UTF-8 Chinese text. No prompt injection, malicious execution instructions, credential exposure, or covert data transfer was found in the reviewed files.

스캔된 파일

934

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

🌐 네트워크 접근 (1)

references/push-format.md:68

⚙️ 외부 명령어 (20)

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex 감사 이력 보기 →

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/yuan1z0825-nature-literature-pipeline/security.svg)](https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/yuan1z0825-nature-literature-pipeline/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/yuan1z0825-nature-literature-pipeline.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

학술 인용 (APA · BibTeX · CFF)

APA 인용

yuan1z0825. (2026). nature-literature-pipeline security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline/audits/2

BibTeX 인용

@techreport{yuan1z0825-yuan1z0825-nature-literature-pipeline-2026,
  author = {yuan1z0825},
  title = {nature-literature-pipeline security audit report (audit version 2)},
  institution = {Skillstore},
  year = {2026},
  number = {2},
  url = {https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline/audits/2},
  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: "nature-literature-pipeline security audit report (audit version 2)"
version: "unspecified"
type: report
authors:
  - name: "yuan1z0825"
date-released: "2026-08-18"
url: "https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline/audits/2"
identifiers:
  - type: other
    value: "skillstore:yuan1z0825-nature-literature-pipeline:audit:2"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Monitor a Research Topic

Create a daily or weekly digest of new papers for a defined topic, keyword set, and exclusion list.

Build a Team Reading Queue

Rank recent candidates and deliver focused summaries that help a research group select papers for deeper reading.

Map a Literature Gap

Search related systems, classify direct and adjacent evidence, and prepare a reproducible gap report for a new project.

이 프롬프트를 사용해 보세요

Create a Basic Weekly Digest

Create a weekly literature pipeline for [topic]. Search [sources], review the last [days] days, and return the top [count] papers.

Configure Scoring and Delivery

Monitor [topic] using these keywords: [keywords]. Exclude [terms]. Score [candidate count] papers and deliver the top [final count] to [target].

Create a Verified Archive Workflow

Build a recurring pipeline for [topic]. Deduplicate by stable identifiers, label reading depth, archive raw notes under [path], and verify delivery separately.

Produce a Research Gap Report

Investigate whether [research question] is a documented gap. Search exact and adjacent terms across three sources. Record queries, evidence tiers, limitations, and next steps.

모범 사례

Review keywords and score distributions after several runs, then adjust weights with the user.
Label every paper as full text, abstract only, metadata only, or project page reviewed.
Verify scheduling, delivery, archival, deduplication, and failure alerts as separate stages.

피하기

Do not treat a high score as proof of paper quality or relevance.
Do not claim full-text findings when only metadata or an abstract was available.
Do not place private chat identifiers, API keys, or machine-specific paths in shared templates.