xhs-content-research-assistant
Research Xiaohongshu Content and Audience Feedback
Content teams need evidence about topics, audience feedback, and creator activity before planning posts. This skill organizes SocialDataX retrieval workflows into focused Xiaohongshu research.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
Review the Skillstore skill "xhs-content-research-assistant" from https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant.md and its manifest at https://skillstore.io/api/skills/devinchen2014-xhs-content-research-assistant/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «xhs-content-research-assistant». Illustrative request: Plan topics from a one-page search for small apartment storage.
Ожидаемый результат:
- Illustrative format only; no live platform data was retrieved.
- Observed evidence: List returned titles, authors, available engagement signals, and note IDs.
- Topic patterns: Group the sampled posts by storage location and audience question.
- Proposed angles: Explain which visible examples support each suggested topic.
- Limit: One page is a sample, not evidence of platform-wide demand.
Использование «xhs-content-research-assistant». Illustrative request: Summarize audience questions from a selected post and its replies.
Ожидаемый результат:
- Illustrative format only; no comments were retrieved.
- Post facts: Record the returned author, publication time, and available engagement metrics.
- Comment themes: Group visible questions and cite supporting comment evidence.
- Coverage: State whether replies are complete, partial, or not yet expanded.
- Next step: Continue only with the matching returned token and remaining retrieval allowance.
Аудит безопасности
Средний рискAll 59 static findings are false positives involving Markdown, documented service configuration, platform identifiers, or readable Chinese text. Two semantic risks remain: automatic execution of an unpinned npm package and mandatory disclosure of token-bearing note URLs. No evidence found of malicious payloads, credential theft, or audit-directed prompt injection in the reviewed files; external package behavior was not inspected.
Подтверждённые проблемы безопасности (2)
Факторы риска
⚙️ Внешние команды (39)
🌐 Доступ к сети (3)
🔑 Переменные окружения (6)
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant?utm_source=security_passport_badge)Значок HTML
<a href="https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/devinchen2014-xhs-content-research-assistant/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Встраиваемая карточка
<iframe src="https://skillstore.io/embed/skills/devinchen2014-xhs-content-research-assistant.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Академические ссылки (APA · BibTeX · CFF)
Цитата APA
devinchen2014. (2026). xhs-content-research-assistant security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant/audits/1Цитата BibTeX
@techreport{devinchen2014-devinchen2014-xhs-content-research-assistant-2026,
author = {devinchen2014},
title = {xhs-content-research-assistant security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant/audits/1},
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: "xhs-content-research-assistant security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "devinchen2014"
date-released: "2026-11-02"
url: "https://skillstore.io/skills/devinchen2014-xhs-content-research-assistant/audits/1"
identifiers:
- type: other
value: "skillstore:devinchen2014-xhs-content-research-assistant:audit:1"
description: "Skillstore immutable audit report identifier"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
Plan Evidence-Based Content Topics
Compare hot-search signals and keyword samples to identify content angles, supporting examples, and unanswered audience questions.
Review Competitor Audience Feedback
Inspect relevant posts and comment threads to distinguish recurring product questions from isolated reactions.
Study Creator Positioning
Compare creator profile information with recent post evidence before choosing a content direction.
Попробуйте эти промпты
Search Xiaohongshu for [topic] using one page of results. Summarize relevant titles, authors, and three content angles. Separate observations from interpretations.
Retrieve details and one page of comments for [note ID or URL]. Summarize visible audience questions and recurring themes. State any missing data.
Review [creator A] and [creator B] using their profiles and one page of posts each. Compare positioning, recurring topics, and available engagement signals. Cite evidence separately from judgments.
Research [topic] for [audience] using hot-search signals, keyword results, and selected comments. Limit retrieval to [page limit] pages and [item limit] items. Preserve partial results and continue only within those limits. Report evidence, uncertainty, and proposed content angles. Do not expose credentials or sensitive URL tokens in shared outputs.
Лучшие практики
- Start with one page and explicit item limits; preserve partial results before requesting more data.
- Keep observations separate from interpretations, and state sample size and coverage gaps.
- Use a reviewed, pinned CLI version and keep API keys and potentially sensitive URL tokens out of shared reports.
Избегать
- Treating a small post sample or hot-search ranking as proof of platform-wide audience demand.
- Restarting retrieval after partial failures without checking continuation tokens and remaining limits.
- Executing unreviewed package updates or forwarding token-bearing URLs without checking authorization.
Часто задаваемые вопросы
What inputs can I provide?
Do I need a SocialDataX API key?
Does this skill publish or interact with posts?
Which AI tools are supported?
What happens when results are incomplete?
Are there costs or installation concerns?
Сведения для разработчиков
Автор
devinchen2014Лицензия
Неизвестно
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Ссылка
2d821629d9cf6def5fbc40718bb2420c989b2ca6
Актуальность поддержки
02.11.2026
Использование
0 загрузок · 0 просмотров
Структура файлов