nature-literature-pipeline
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.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
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.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Agent-lesbare Ressourcen
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
Testen
„nature-literature-pipeline“ wird verwendet. Track machine learning methods for marine concrete durability during the last seven days.
Erwartetes Ergebnis:
A ranked digest lists five deduplicated papers with scores, reading depth, methods, specific results, limitations, and stable source links.
„nature-literature-pipeline“ wird verwendet. Check whether a four-component material system has been studied and document the search.
Erwartetes Ergebnis:
- 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“ wird verwendet. Prepare a reusable daily literature push for a research group.
Erwartetes Ergebnis:
A configurable profile defines topics, exclusions, source priority, scoring weights, delivery target, archive settings, and a verification checklist.
Sicherheitsaudit
SicherAll 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.
Risikofaktoren
🌐 Netzwerkzugriff (1)
⚙️ Externe Befehle (20)
Diesen Bericht teilen & zitieren
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
Berichtslink kopieren
https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline?utm_source=security_passport_badge)HTML-Badge
<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>Einbettungskarte
<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>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
yuan1z0825. (2026). nature-literature-pipeline security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-literature-pipeline/audits/2BibTeX-Zitat
@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-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
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.
Diese Prompts ausprobieren
Create a weekly literature pipeline for [topic]. Search [sources], review the last [days] days, and return the top [count] papers.
Monitor [topic] using these keywords: [keywords]. Exclude [terms]. Score [candidate count] papers and deliver the top [final count] to [target].
Build a recurring pipeline for [topic]. Deduplicate by stable identifiers, label reading depth, archive raw notes under [path], and verify delivery separately.
Investigate whether [research question] is a documented gap. Search exact and adjacent terms across three sources. Record queries, evidence tiers, limitations, and next steps.
Bewährte Praktiken
- 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.
Vermeiden
- 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.
Häufig gestellte Fragen
Which literature sources does this skill support?
Does the skill create scheduled jobs by itself?
Can it send digests to messaging platforms?
How does it prevent duplicate papers?
What happens when full text is unavailable?
Does the scoring system replace expert judgment?
Entwicklerdetails
Autor
yuan1z0825Lizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
e22f0e5c175a84e01097fa734ec2a74420c14771
Aktualität der Wartung
19.8.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur