Media Search

Use this skill when the user wants to discover social media content from a keyword, brand, product, campaign, creator niche, or research topic. Additional discovery includes 百度贴吧 / Baidu Tieba post, forum and general search, forum browsing, user/channel and tag discovery, search suggestions, XHS video/image/topic search, XHS and Douyin product search, and WeChat Official Account / 公众号 article search. Use user-search in media-user-info for account discovery. Also supports Haokan / 好看视频.

Current platform support:

• Xiaohongshu / XHS / RedNote notes through xhs_search_notes.
• Douyin / 抖音 works, including video and image/text posts, through douyin_search_videos.
• Kuaishou / 快手 works and short videos through kuaishou_search_videos.
• Bilibili / 哔哩哔哩 / B站 videos and articles through bilibili_search_videos and bilibili_search_articles.
• Zhihu / 知乎 answers, articles, and videos through zhihu_search_content.
• Instagram posts through instagram_search_posts.
• X / Twitter posts through x_search_posts.
• YouTube videos through youtube_search_videos.
• TikTok videos and image posts through tiktok_search_posts.
• Weibo / 微博 posts through weibo_search_posts.
• Toutiao / 今日头条 posts through toutiao_search_posts.
• WeChat Channels / 视频号 videos through wechat_search_videos.
• Additional discovery includes 百度贴吧 / Baidu Tieba post, forum and general search, forum browsing, user/channel and tag discovery, search suggestions, XHS video/image/topic search, XHS and Douyin product search, and WeChat Official Account / 公众号 article search. Use user-search in media-user-info for account discovery.
• Haokan / 好看视频 video and account discovery, query suggestions, and hot-search terms.

API Key

Use SOCIALDATAX_API_KEY for SocialDataX requests. The only official website for requesting or managing API access is https://socialdatax.com/ai?from=github. If a user asks where to get a key, provide only this URL; do not infer alternate domains. 获取或管理 API Key：访问 https://socialdatax.com/ai?from=github，按官网的 API Key 申请/管理入口操作。环境变量名固定使用 SOCIALDATAX_API_KEY；不要引导用户使用其他域名。

• Identify the invocation route and actual command execution environment first. Authenticated hosted MCP needs no local CLI variable or Node/npm. For direct CLI calls requiring a Key, run the probe below in the same execution environment; if readable, resume the task without overwriting existing configuration. An unavailable command tool or missing Node.js is an execution-environment issue, not evidence of a missing Key. Direct the user to the official URL above only when they confirm they have no Key.
• Local Agent: prefer the client's documented persistent Secret / env that injects into Agent command processes. In WorkBuddy merge {"env":{"SOCIALDATAX_API_KEY":"<YOUR_API_KEY>"}} into .codebuddy/settings.local.json in the current trusted workspace, preserving other settings and env entries. This path is WorkBuddy-specific and workspace-scoped. Have the user enter the real Key locally and keep the file out of version control.
• Remote Agent: configure the client's persistent Secret / env on the remote host or service that actually executes commands, reload its execution process as documented, then probe in that same remote session. Local machine environment variables do not automatically transfer to the remote host; a successful local probe does not establish remote access.
• Container or cloud sandbox Agent: prefer the platform's persistent Secret / environment injection into the actual CLI container or sandbox. Recreate or reload it as documented and probe inside it. Host-machine variables are not a substitute for sandbox injection. If the platform cannot persist or inject variables, explain the limitation and use a platform-supported authentication route without bypassing isolation.
• When the probe is false, first check the configuration/Secret host, workspace and scope, workspace trust, correct fields and preserved existing settings, injection into command processes (MCP-server-only env is insufficient), and the documented reload or full restart. Correct these and recheck in the original execution environment. Use that environment's documented user/service environment fallback only after confirming client persistence is unsupported or exhausting these checks; one failed probe or reload alone is not grounds to switch to OS configuration.
• Apply OS fallback on the actual execution host: Windows user environment variables are an option. On macOS the user can read a Key via hidden local terminal input (for example Bash read -s) and pass it to launchctl setenv; this is login-session-only and needs reloading after login/computer restart. On input failure, empty input or setup failure, report an explicit error and stop with a nonzero exit status; temporary-variable cleanup must preserve the original failure status. Fully quit the relevant client and background processes before reopening; remote services reload according to their runtime, while sandboxes still require platform injection. A separate terminal export, shell startup file alone, or closing a window does not prove inheritance. Keep real keys out of chat, logs, screenshots, command history and Skill files.
• In the same environment that executes the CLI, run node -e "console.log(JSON.stringify({apiKeyReadable:Boolean(['SOCIALDATAX_API_KEY','SOCIAL_MEDIA_MCP_API_KEY'].map(name=>process.env[name]?.trim()).find(Boolean))}))" and report only the boolean, never the Key or full environment. Follow CLI lookup order: trimmed primary variable, then legacy compatibility for existing configurations; all new setup still uses SOCIALDATAX_API_KEY. If apiKeyReadable is false, stop business requests and diagnose in the order above. True only proves a readable nonempty value; resume the original request to verify authentication, without claiming validity or available credits. Never inject a temporary value into the probe to force success.

Preferred Direct CLI

Prefer the direct CLI when the agent can run shell commands. It does not require MCP server configuration:

npx -y socialdatax-skills@latest xhs search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest xhs search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest douyin search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest douyin search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest kuaishou search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest kuaishou search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest bilibili search-videos \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest bilibili search-articles \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest zhihu search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest zhihu search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest instagram search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest instagram search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest x search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest x search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest youtube search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest youtube search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tiktok search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tiktok search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest weibo search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest weibo search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest toutiao search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest toutiao search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest wechat search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest wechat search \
  --keyword "<keyword>" --pages 3 --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest xhs search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest douyin search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tiktok search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest weibo search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest zhihu search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest x search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest bilibili search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest kuaishou search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest youtube search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest toutiao search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest instagram tag-search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest xhs search-images \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest xhs product-search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest douyin product-search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest xhs topic-notes \
  --page-id "<page_id>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest xhs topic-notes \
  --url "<topic_url>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest wechat article-search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tieba forum-posts \
  --forum-name "<forum_name>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tieba search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tieba search-general \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tieba search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest tieba forum-search \
  --forum-name "<forum_name>" --keyword "<keyword>" --pretty \
  --source-client socialdatax-skills --source-platform github \
  --source-skill media-search

npx -y socialdatax-skills@latest youtube channel-search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest haokan search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest haokan user-search \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest haokan search-suggestions \
  --keyword "<keyword>" --pretty --source-client socialdatax-skills \
  --source-platform github --source-skill media-search

npx -y socialdatax-skills@latest haokan hot-search \
  --pretty --source-client socialdatax-skills --source-platform github \
  --source-skill media-search

Required arguments:

• XHS search --keyword <text>: required when using xhs search; use the user's actual intent, trim whitespace, and keep it focused.
• Douyin search --keyword <text>: required only when using douyin search; use the user's actual intent, trim whitespace, and keep it focused.
• Kuaishou search --keyword <text>: required only when using kuaishou search; use the user's actual intent, trim whitespace, and keep it focused.
• Bilibili search-videos --keyword <text> or search-articles --keyword <text>: required only when using Bilibili search; use the user's actual intent, trim whitespace, and keep it focused.
• Zhihu search --keyword <text>: required only when using zhihu search; use the user's actual intent, trim whitespace, and keep it focused.
• Instagram search --keyword <text>: required only when using instagram search; use the user's actual intent, trim whitespace, and keep it focused.
• X / Twitter search --keyword <text>: required only when using x search; use the user's actual intent, trim whitespace, and keep it focused.
• YouTube search --keyword <text>: required only when using youtube search; use the user's actual intent, trim whitespace, and keep it focused.
• TikTok search --keyword <text>: required only when using tiktok search; use the user's actual intent, trim whitespace, and keep it focused.
• Weibo search --keyword <text>: required only when using weibo search; use the user's actual intent, trim whitespace, and keep it focused.
• Toutiao search --keyword <text>: required only when using toutiao search; use the user's actual intent, trim whitespace, and keep it focused.
• WeChat Channels / 视频号 search --keyword <text>: required only when using wechat search; use the user's actual intent, trim whitespace, and keep it focused.

Optional arguments:

• XHS --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• XHS --sort-type <general|time_descending|like_count_descending|comment_count_descending|collect_count_descending>: optional sort value; omit it for default sorting.
• XHS --note-type <all|image|video>: optional note type filter; default is all.
• XHS --publish-time-range <all|day|week|half_year>: optional publish-time filter; default is all.
• Douyin --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• Douyin --sort-type <general|time_descending|like_count_descending>: optional sort value; omit it for the default sort.
• Douyin --publish-time-range <all|day|week|half_year>: optional publish-time filter; omit it for no publish-time filter.
• Douyin --duration-range <all|under_1_minute|one_to_five_minutes|over_5_minutes>: optional duration filter; omit it for no duration filter.
• Douyin --content-type <all|video|image>: optional content type filter; omit it for all content types.
• XHS --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• Douyin --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• Kuaishou --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• --max-items <n>: stop after collecting N search results.
• --since-days <1-365>: available only on XHS, Douyin, Kuaishou, Weibo, and WeChat Channels search. For Bilibili video, Zhihu, and YouTube search, use the documented publish-time filters instead; do not pass --since-days to Bilibili article, Instagram, X / Twitter, or TikTok search.
• --pretty: output formatting only.
• Kuaishou --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• Weibo --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• Toutiao --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• WeChat Channels / 视频号 --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• Bilibili --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain.
• Bilibili video search --sort-type <general|view_count_descending|time_descending|danmaku_count_descending|collect_count_descending>: optional sort value; omit it for default sorting.
• Bilibili article search --sort-type <general|time_descending|view_count_descending|like_count_descending|comment_count_descending>: optional sort value; omit it for default sorting.
• Bilibili video search --publish-time-range <all|day|week|half_year>: optional publish-time filter; omit it for no publish-time filter.
• Bilibili video search --publish-time-start-date <YYYY-MM-DD> and --publish-time-end-date <YYYY-MM-DD>: optional exact date bounds; omit them unless narrowing by date.
• Bilibili video search --duration-range <all|under_10_minutes|between_10_and_30_minutes|between_30_and_60_minutes|over_60_minutes>: optional duration filter; omit it for no duration filter.
• Bilibili article search --category <all|animation|gaming|film_and_tv|lifestyle|hobbies|light_novel|technology|notes>: optional article category filter; default is all.
• Zhihu --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain.
• Zhihu --content-type <all|answer|article|video>: optional content type filter; omit it for all content types.
• Zhihu --sort-type <general|upvote_count_descending|time_descending>: optional sort value; omit it for default sorting.
• Zhihu --publish-time-range <all|day|week|month|three_months|half_year|year>: optional publish-time filter; omit it for no publish-time filter.
• Instagram --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain.
• X / Twitter --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain.
• X / Twitter --sort-type <hot|time_descending>: optional sort value; omit it for default sorting.
• YouTube --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain.
• YouTube --sort-type <general|time_descending|view_count_descending|rating>: optional sort value; omit it for default sorting.
• YouTube --video-type <all|video|movie>: optional video type filter; omit it for all video types.
• YouTube --publish-time-range <all|last_hour|today|this_week|this_month|this_year>: optional publish-time filter; omit it for no publish-time filter.
• YouTube --duration-range <all|under_4_min|between_4_and_20_min|over_20_min>: optional duration filter; omit it for no duration filter.
• TikTok --page-token <next_page_token>: opaque pagination token; omit it on the first search request. Continue only with the complete returned next_page_token from the same search pagination chain.
• TikTok --content-type <all|video|image>: optional content type filter; omit it for all content types.
• WeChat Channels / 视频号 --sort-type <all|time_descending|collect_count_descending>: optional sort value; omit it for the default sort.
• WeChat Channels / 视频号 --duration-range <all|under_5_min|between_5_and_20_min|over_20_min>: optional duration filter; omit it for no duration filter.
• Bilibili --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• Zhihu --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• Instagram --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• X / Twitter --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• YouTube --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• TikTok --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• Weibo --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• Toutiao --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• WeChat Channels / 视频号 --pages <n>: fetch and merge N search pages from the current starting point; continue with returned next_page_token.
• --source-client socialdatax-skills --source-platform github --source-skill media-search: usage attribution for this Agent Skill; keep these values unchanged when running examples from this Skill.

XHS sort values:

• general: default sorting.
• time_descending: newest first.
• like_count_descending: most liked first.
• comment_count_descending: most commented first.
• collect_count_descending: most collected first.

XHS note type filter values:

• all: no note type filter.
• image: image/text notes.
• video: video notes.

XHS publish-time filter values:

• all: no publish-time filter.
• day: published within one day.
• week: published within one week.
• half_year: published within half a year.

Douyin sort values:

• general: default sorting.
• time_descending: newest first.
• like_count_descending: most liked first.

Douyin publish-time filter values:

• all: no publish-time filter.
• day: published within one day.
• week: published within one week.
• half_year: published within half a year.

Douyin duration filter values:

• all: no duration filter.
• under_1_minute: under 1 minute.
• one_to_five_minutes: 1-5 minutes.
• over_5_minutes: over 5 minutes.

Douyin content type filter values:

• all: all content types.
• video: video works.
• image: image/text posts.

The command prints JSON with platform, tool, arguments, and data. Search supports --pages and --max-items, but not --all, because search has no stable complete-result boundary. Multi-page output keeps merged results in data.items and adds page_count, item_count, and the next-page marker. With CLI --since-days <n>, XHS and Douyin search automatically prefer newest-first sorting and the closest native publish-time range unless the user explicitly sets sort or publish-time filters; WeChat Channels search defaults to time_descending; Kuaishou and Weibo only apply CLI-side publish_time filtering. Kuaishou search pagination:

• Continue only when next_page_token is not empty.
• Pass the complete returned next_page_token back unchanged as page_token for the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.

Bilibili search has separate direct CLI actions for videos and articles: use bilibili search-videos for video samples and bilibili search-articles for article samples. Zhihu, Instagram, X / Twitter, YouTube, and TikTok search commands use the same --keyword, --page-token, --pages, and --max-items direct CLI pattern.

WeChat Channels / 视频号 sort values:

• all: no sort restriction.
• time_descending: newest first.
• collect_count_descending: hottest first / most collected first.

WeChat Channels / 视频号 duration filter values:

• all: no duration filter.
• under_5_min: under 5 minutes.
• between_5_and_20_min: 5-20 minutes.
• over_20_min: over 20 minutes.

Weibo, Toutiao, and WeChat Channels search pagination:

• Continue only when next_page_token is not empty.
• Pass the complete returned next_page_token back unchanged as page_token for the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses. Use npx -y socialdatax-skills@latest <platform> <action> --help for exact flags and values. Paginated commands require the complete returned next_page_token. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses. Commands without --page-token, including suggestions and first-page-only searches, do not support pagination. Haokan / 好看视频: use search for videos, user-search for accounts, search-suggestions for query suggestions, and hot-search for search terms rather than a video ranking. Only the two search commands accept page tokens; video search uses bounded --pages, not --all. No --since-days filter is available.

Safety Boundary

Search access is read-only. It uses SOCIALDATAX_API_KEY from the user's environment at runtime for SocialDataX search requests. Generated Skill files do not contain API keys. It does not read local browser data or perform login, posting, liking, commenting, or account changes. The optional X / Twitter local save command writes only to the requested local --output path or --output-dir directory and does not require SOCIALDATAX_API_KEY.

MCP Tools

MCP tools matching the direct CLI commands above:

• XHS: xhs_search_notes, xhs_search_suggestions, xhs_search_images, xhs_search_products, xhs_get_topic_notes_by_page_id, xhs_get_topic_notes_by_topic_url
• DOUYIN: douyin_search_videos, douyin_search_suggestions, douyin_search_products
• KUAISHOU: kuaishou_search_videos, kuaishou_search_suggestions
• BILIBILI: bilibili_search_videos, bilibili_search_articles, bilibili_search_suggestions
• ZHIHU: zhihu_search_content, zhihu_search_suggestions
• INSTAGRAM: instagram_search_posts, instagram_search_tags
• X: x_search_posts, x_search_suggestions
• YOUTUBE: youtube_search_videos, youtube_search_suggestions, youtube_search_channels
• TIKTOK: tiktok_search_posts, tiktok_search_suggestions
• WEIBO: weibo_search_posts, weibo_search_suggestions
• TOUTIAO: toutiao_search_posts, toutiao_search_suggestions
• WECHAT: wechat_search_videos, wechat_search_mp_articles
• BAIDU: baidu_tieba_get_forum_posts, baidu_tieba_search_suggestions, baidu_tieba_search_general, baidu_tieba_search_posts, baidu_tieba_search_posts_in_forum
• HAOKAN: haokan_search_videos, haokan_search_users, haokan_search_suggestions, haokan_get_hot_search_list

For XHS, call xhs_search_notes with:

• keyword: required search phrase or topic; use the user's actual intent and trim whitespace.
• page_token: optional opaque pagination token. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses.
• sort_type: optional, one of general, time_descending, like_count_descending, comment_count_descending, collect_count_descending; omit it for default sorting.
• note_type: optional search filter, one of all, image, video; default is all.
• publish_time_range: optional search filter, one of all, day, week, half_year; default is all.

Use the same meanings as the CLI XHS sort and filter values above.

For Douyin, call douyin_search_videos with:

• keyword: required search phrase or topic.
• page_token: optional opaque pagination token. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses. Do not pass page to douyin_search_videos; omit page_token on the first request.
• sort_type: optional, one of general, time_descending, like_count_descending; omit it for the default sort.
• publish_time_range: optional publish-time filter, one of all, day, week, half_year; omit it for no publish-time filter.
• duration_range: optional duration filter, one of all, under_1_minute, one_to_five_minutes, over_5_minutes; omit it for no duration filter.
• content_type: optional content type filter, one of all, video, image; omit it for all content types.

Do not pass page to xhs_search_notes; omit page_token on the first request. Continue XHS pagination only when next_page_token is not empty, and pass the complete returned next_page_token back unchanged as page_token for the same keyword, sort, note type, publish-time range, and caller chain. Continue Douyin pagination only when next_page_token is not empty. Pass the complete returned next_page_token back unchanged as page_token for the same keyword and filter chain. Do not stop only because one page has empty items. For Kuaishou, call kuaishou_search_videos with:

• keyword: required search phrase or topic.
• page_token: optional opaque pagination token. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses. Do not pass page to kuaishou_search_videos; omit page_token on the first request. Continue Kuaishou pagination only when next_page_token is not empty. Pass the complete returned next_page_token back unchanged as page_token for the same keyword chain. For Bilibili, call bilibili_search_videos for videos with keyword and optional page_token, sort_type, publish_time_range, publish_time_start_date, publish_time_end_date, or duration_range; call bilibili_search_articles for articles with keyword and optional page_token, sort_type, or category. For Zhihu, call zhihu_search_content with keyword and optional page_token, content_type, sort_type, or publish_time_range. For Instagram, call instagram_search_posts with keyword and optional page_token. For X / Twitter, call x_search_posts with keyword and optional page_token or sort_type. For YouTube, call youtube_search_videos with keyword and optional page_token, sort_type, video_type, publish_time_range, or duration_range. For TikTok, call tiktok_search_posts with keyword and optional page_token or content_type. For Weibo, call weibo_search_posts with:
• keyword: required search phrase or topic.
• page_token: optional opaque pagination token. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses. Do not pass page to weibo_search_posts; omit page_token on the first request. Continue Weibo pagination only when next_page_token is not empty. Pass the complete returned next_page_token back unchanged as page_token for the same keyword chain. For Toutiao, call toutiao_search_posts with required keyword and optional page_token. Do not pass page to toutiao_search_posts; omit page_token on the first request. Continue only when next_page_token is not empty and pass it back unchanged for the same keyword chain. For WeChat Channels / 视频号, call wechat_search_videos with:
• keyword: required search phrase or topic.
• page_token: optional opaque pagination token. Continue only with the complete returned next_page_token from the same search pagination chain. Do not modify, truncate, redact, mask, omit, normalize, rebuild, generate, or replace the middle with ellipses. Do not pass page to wechat_search_videos; omit page_token on the first request.
• sort_type: optional, one of all, time_descending, collect_count_descending; omit it for the default sort.
• duration_range: optional duration filter, one of all, under_5_min, between_5_and_20_min, over_20_min; omit it for no duration filter. Continue WeChat Channels pagination only when next_page_token is not empty. Pass the complete returned next_page_token back unchanged as page_token for the same keyword and filter chain. --since-days uses CLI-side filtering only and is not an MCP tool argument; for MCP-only calls, request newest-first/native publish-time filters where available and filter returned publish_time values in your analysis.

XHS search parameter naming reminder: direct CLI uses --sort-type, --publish-time-range, and --note-type; the xhs_search_notes MCP tool uses sort_type, publish_time_range, and note_type. Do not pass sortType, publishTimeRange, or noteType.

Output Guidance

Summarize visible evidence separately from interpretation. Include useful content IDs, URLs, titles or descriptions, authors, counts, and publish time when the user needs traceability. For XHS search results, in every use of a returned note_url, such as final answers, display, references, storage, output, or forwarding, preserve it exactly as the full URL, including xsec_token query parameters. Do not modify, truncate, redact, mask, normalize, rebuild, or synthesize the URL from note_id. For XHS note_id, copy the entire returned note_id exactly; do not pass or display only a prefix. For Douyin search results, include content_type when the user needs traceability. For Douyin image/text search results, use returned images and treat video.media_type="audio" as an audio player resource rather than a video post. For Kuaishou search results, include photo_id, share_url, author facts, and visible interaction counts when the user needs traceability. For Bilibili search results, include content IDs, URLs, titles or descriptions, creator facts, and visible interaction counts when the user needs traceability. For Zhihu search results, include content URLs, titles or summaries, creator facts, and visible interaction counts when the user needs traceability. For Instagram, X / Twitter, YouTube, and TikTok search results, include returned post or video URLs, public IDs, author facts, and visible interaction counts when the user needs traceability. For X / Twitter search results, preserve returned media_items[].cover_image_url and media_items[].video_url values when present. When the user wants to save X media, pass one returned media URL at a time to npx -y socialdatax-skills@latest x download-media --url "<media_url>" --output-dir <directory> --pretty; this local save command does not require SOCIALDATAX_API_KEY. If the CLI process does not inherit the user's local proxy, add --proxy "http://127.0.0.1:7890" or set HTTP_PROXY / HTTPS_PROXY / ALL_PROXY. If search media fields are absent, use X detail as the fallback before downloading. For Weibo search results, include post_id, post_url, author facts, interaction counts, and publish time when the user needs traceability. For WeChat Channels / 视频号 search results, include encrypted_object_id, author facts, interaction counts, publish time, and duration when the user needs traceability.

Troubleshooting

• Credential source: identify whether this request uses CLI or MCP. For CLI, check the effective configuration in the actual execution environment using the API Key section (primary variable first, then legacy compatibility). For MCP, check the authentication configuration of the current connection, without requiring a local CLI variable. If configuration is missing, follow the earlier client diagnosis and fallback order. Do not expose Keys, Authorization headers or secret configuration values.
• If an SDK/dependency, npm network, Node.js/npm/npx availability, permission, or missing runtime error appears, treat it as a local runtime, dependency installation, network, or agent authorization issue, not a SocialDataX API key or business data error. Install or repair task dependencies only within the user's existing authorization, preferably in the project or a temporary environment. Execution permissions are not user authorization; explain and obtain approval before changes outside that scope, including global installs, runtime upgrades, or system configuration changes. When network or execution authorization is needed, ask the user to approve or finish authorization, then continue the same command; do not use public web search as a substitute for SocialDataX data.
• If the CLI exits with status 1 and prints partial: true, preserve data.items and the error, and report incomplete results. This recovery rule overrides advice to rerun the original command. After resolving the error (including insufficient balance), resume only with a non-empty data.next_page_token and the same query parameters. Keep the original page and item limits: subtract cumulative page_count and item_count from the respective --pages and --max-items limits, if set. Stop parent-list pagination when either limit is reached. An empty token does not mean completion. Do not restart from the first page; investigate repeated-token errors before continuing.
• For non-balance network or API errors, preserve the error message, check the effective credential source above, parameters, and link or ID format, then retry once when appropriate.
• If the response returns insufficient_balance or says the balance/credits are insufficient, do not retry repeatedly. Show the official billing link in the error (https://socialdatax.com/dashboard/billing, including any channel parameters); if absent, use https://socialdatax.com/dashboard/billing. After recharging, resume the failed call; if a job or partial results already exist, follow the corresponding job-query or pagination recovery rules.
• If the user has recharged but still sees insufficient balance, have the user confirm in the relevant account dashboard that this request uses the recharged account, following the credential source above. If an update is needed, have the user update the effective CLI configuration or MCP connection, reload as documented, and resume the original command. Do not require reconfiguration just because the primary local variable is absent, or expose credential values.