Xiaohongshu Content Research
jumodada/Drissionpage-MCP-Server
A skill your agent uses for authorized, read-only research on public Xiaohongshu content or the local Xiaohongshu-like playground fixture.
小红书(创作者中心)登录拿 cookies、发布笔记、导出数据的单一入口技能(浏览器交互委托 agent-browser-stealth)
$ npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team xhs-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/xhs-skill .claude/skills/xhs-skill && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "xhs-skill" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skill into .claude/skills/xhs-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xhs-skill", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team xhs-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/xhs-skill .agents/skills/xhs-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "xhs-skill" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skill into .agents/skills/xhs-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xhs-skill", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team xhs-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/xhs-skill .cursor/skills/xhs-skill && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "xhs-skill" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skill into .cursor/skills/xhs-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xhs-skill", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/xhs-skill--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team xhs-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/xhs-skill .gemini/skills/xhs-skill && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "xhs-skill" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skill into .gemini/skills/xhs-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xhs-skill", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aAAaqwq/AGI-Super-Team xhs-skillInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/xhs-skill .github/skills/xhs-skill && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "xhs-skill" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skill into .github/skills/xhs-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xhs-skill", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team xhs-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/xhs-skill .opencode/skills/xhs-skill && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "xhs-skill" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/xhs-skill into .opencode/skills/xhs-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xhs-skill", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
xhs-skill小红书(创作者中心)登录拿 cookies、发布笔记、导出数据的单一入口技能(浏览器交互委托 agent-browser-stealth)
Xhs Skill is an agent skill from aAAaqwq/AGI-Super-Team. 小红书(创作者中心)登录拿 cookies、发布笔记、导出数据的单一入口技能(浏览器交互委托 agent-browser-stealth)
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts (for example `agents/openai.yaml`, `config/review_policy.json` and `config/review_taxonomy.json`).
It sits in Productivity & Automation, covering Browser automation. It works with Xiaohongshu. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodenpmgitFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
creator.xiaohongshu.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Xhs Skill loads about 3.2k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 624 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 624 words, ~3,181 tokens.
.claude/skills/xhs-skill/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.本技能是 xhs-* 的合并版,目标是让用户只需要 clawhub install xhs-skill 一次即可开始使用。
约束:
agent-browser-stealth。publish_from_payload);发布动作必须在会话中由 agent-browser-stealth 执行。agent-browser(旧通道禁用,统一使用 agent-browser-stealth)。data/ 目录,不要粘贴到聊天里。执行硬约束(稳定性):
agent-browser-stealth session 禁止并发操作(串行执行),否则容易触发 os error 35 假失败。snapshot 的 ref 会漂移:关键动作前后必须重抓 snapshot -i,并用 placeholder/role/text 做二次定位兜底。clawhub install xhs-skill
cd skills/xhs-skill
npm i说明:npm i 仅用于本技能自带的本地 CLI(二维码解码、cookies 工具)。如果你不需要解码二维码/转换 cookies,也可以只用 agent-browser-stealth 完成扫码与导出。
建议在你运行命令的工作目录下准备:
data/xhs_login_qr.png:登录页二维码截图(PNG)data/raw_cookies.json:导出的原始 cookies(JSON)data/xhs_cookies.json:归一化后的 cookies(JSON)data/exports/<YYYY-MM-DD>/:导出数据(CSV/XLSX/截图)data/assets/<YYYY-MM-DD>/:发布笔记用的图标/配图素材与来源记录mkdir -p data目标:登录小红书创作者中心并导出 cookies,避免频繁重复登录。
agent-browser-stealth 打开登录页:https://creator.xiaohongshu.com/login让 agent-browser-stealth 截图保存二维码(PNG)到 data/xhs_login_qr.png
(可选)用本地 CLI 解码二维码文本并打印 ASCII 二维码:
node ./bin/xhs-skill.mjs qr show --in ./data/xhs_login_qr.pngOpenClaw 回传规范(强制):
data/xhs_login_qr.png)。node ./bin/xhs-skill.mjs qr show --in ./data/xhs_login_qr.png,然后把输出的二维码文本 + ASCII 二维码直接发给用户。推荐回传模板:
请用小红书 App 扫这个二维码登录。
二维码文本: <qr_text>
<ASCII QR>data/raw_cookies.json(不走 DevTools):agent-browser-stealth cookies --json > ./data/raw_cookies.jsondata/xhs_cookies.json:node ./bin/xhs-skill.mjs cookies normalize --in ./data/raw_cookies.json --out ./data/xhs_cookies.json
node ./bin/xhs-skill.mjs cookies status --in ./data/xhs_cookies.json5.1 推荐用脚本做后验校验(可执行门禁):
# 例:先让 agent-browser-stealth 记录当前 URL 与后台探测后的 URL
CURRENT_URL="$(agent-browser-stealth get url)"
agent-browser-stealth open https://creator.xiaohongshu.com/creator/home
PROBE_FINAL_URL="$(agent-browser-stealth get url)"
node ./scripts/verify_login.mjs \
--cookies ./data/xhs_cookies.json \
--current-url "$CURRENT_URL" \
--probe-final-url "$PROBE_FINAL_URL" \
--json登录成功判定(强制):
web_session 不再作为硬依赖):/loginweb_session,或 cookie 名含 session)。没有也可能可用,但稳定性更差。登录结果输出契约(JSON):
{
"task": "xhs_login",
"ok": true,
"checks": {
"left_login": true,
"backend_not_rejected": true,
"has_session_like_cookie": true
},
"artifacts": {
"qr_png": "data/xhs_login_qr.png",
"raw_cookies": "data/raw_cookies.json",
"normalized_cookies": "data/xhs_cookies.json"
}
}失败时 ok=false,并给出失败项(例如仍在 /login、或 probe 回跳),禁止输出“已完成”。
Cookie: header:node ./bin/xhs-skill.mjs cookies to-header --in ./data/xhs_cookies.json失败回退:
agent-browser-stealth 放大后重新截图(仍为 PNG)。data/raw_cookies.json,后续再扩展兼容分支。核心结论:小红书风控主要看“节奏 + 指纹 + 行为 + IP + 账号权重”。工具本身不是主因,使用方式才是主因。
强制策略:
1.2s~7s)。type --delay(逐字),避免全量瞬时 fill。--profile,并启用 --headed。24h <= 3 篇。30 分钟。3~7 天。profile + IP + 设备环境。输入(用户提供):
YYYY-MM-DD)发布硬门禁(强制):
data/publish_payload.json(示例):{
"topic": "今日热点:xxxx",
"source": {
"name": "央视新闻",
"url": "https://example.com/news",
"date": "2026-02-12",
"evidence_snippet": "2月12日该媒体报道提到:......",
"key_facts": ["关键事实1(含日期/数字)", "关键事实2(含日期/数字)"]
},
"post": {
"title": "20字内标题示例",
"body": "不少于 80 字的正文......",
"tags": ["#热点", "#今日新闻", "#小红书运营"],
"real_topics": ["#人工智能", "#AI资讯", "#科技观察"],
"media": ["/abs/path/cover.png", "/abs/path/card_1.png"]
}
}# 普通模式
node ./scripts/verify_publish_payload.mjs --in ./data/publish_payload.json --policy ./config/verify_publish_policy.json --tag-registry ./data/tag_registry.json --min-registry-tags 12 --require-source-evidence on --strict-anti-ai on --json
# 今天热点模式(强制 source.date = 今天)
node ./scripts/verify_publish_payload.mjs --in ./data/publish_payload.json --policy ./config/verify_publish_policy.json --tag-registry ./data/tag_registry.json --min-registry-tags 12 --require-source-evidence on --strict-anti-ai on --mode hot --jsonnode ./scripts/review_publish_payload.mjs --in ./data/publish_payload.json --policy ./config/review_policy.json --taxonomy ./config/review_taxonomy.json --ai-provider auto --require-ai off --mode hot --jsonok=true 才允许进入发布页点击“发布/提交”。
校验策略在 ./config/verify_publish_policy.json,审核策略在 ./config/review_policy.json,分层风险路径在 ./config/review_taxonomy.json。禁止链接(强制):
http/https、www.、xxx.com/.cn/...)。否则有封禁风险。反 AI 识别与真实标签(强制):
review_publish_payload 审核门禁,要求 decision=pass,并输出 risk_path、证据和 review_queue 供复核。source.evidence_snippet 与 source.key_facts 必填,且能回溯到来源事实。post.real_topics 都必须来自真实话题池 data/tag_registry.json,禁止自造标签。#标签 拼进正文冒充话题。agent-browser-stealth 执行最终点击发布。示例:准备真实标签池(建议每天更新):
cat > ./data/tag_registry.json <<'JSON'
{
"updated_at": "2026-02-24",
"source": {
"platform": "xiaohongshu",
"method": "manual_from_publish_topic_picker",
"url": "https://creator.xiaohongshu.com/creator/publish"
},
"tags": ["#AI热点", "#人工智能", "#行业观察", "#科技新闻", "#AI资讯", "#科技观察"]
}
JSON发布执行方式(唯一):
agent-browser-stealth 串行执行:预检 -> 填充 -> 读回校验 -> 发布 -> 回查。verify/review 非 ok=true),必须停止在“发布前”,禁止继续点击提交。P0:发布编排器(流程编排,不是仓库脚本):
https://creator.xiaohongshu.com/publish/publish 进入;禁止把 /creator/* 作为首入口。https://creator.xiaohongshu.com/new/home(“你访问的页面不见了”),立即回到 /publish/publish 重试。published=true;P0:路由与状态稳定性(强制):
/publish/publish;其他页面只作为中转,不作为成功判定依据。P0:选择器双通道(强制):
placeholder + role + 可见性 + 附近文案)。tiptap/ProseMirror 语义类名)。snapshot ref 或 @e1/@e2 序号;每个关键动作前后都要 snapshot -i 二次确认。P0:写入可靠性(强制):
contenteditable、可见、可编辑、placeholder/附近文本命中“正文/内容”语义。title_len 与 body_len。title_len > 20 且 body_len < 80,或标题命中长段正文特征(大量换行/句号),判定为写入错位。# 标签、长段正文、链接;标签必须通过小红书发布页“标签/话题交互”选择,不把标签文本塞进标题。P0:草稿确认闭环(强制):
title/body/media/tags 仍满足门禁。P0:图片预处理(无脚本版):
1242x1660(3:4 竖版)。# macOS: 先居中裁剪再缩放到 1242x1660(按需替换输入输出路径)
sips -c 1660 1242 ./data/assets/in.png --out ./data/assets/out_1242x1660.pngP0:发布前硬校验(强制):
<= 20。>= 80。>= 3(通过小红书话题交互选择,不是正文拼接)。http、https、www.、域名形态)。P0:发布后双重确认(强制):
published=true。run_log 并提示人工复核。P1:热点到 payload 半自动(无脚本版):
newsnow -> payload 代码生成器;改为会话模板填充。data/publish_payload.json,人工只改“观点段”:{
"topic": "今日热点:<主题>",
"source": {
"name": "<来源名>",
"url": "<来源URL>",
"date": "YYYY-MM-DD",
"evidence_snippet": "<原文证据摘录>",
"key_facts": ["<事实1:含日期/数字>", "<事实2:含日期/数字>"]
},
"post": {
"title": "<8-20字标题,不含标签>",
"body": "<观点段+事实段,不少于80字>",
"tags": ["#标签1", "#标签2", "#标签3"],
"real_topics": ["#真实话题1", "#真实话题2", "#真实话题3"],
"media": ["/abs/path/1.png"]
}
}P1:标签/话题池维护(无脚本版):
data/tag_registry.json(从小红书发布页话题选择器抄录)。tags 与 real_topics 都必须命中 tag_registry。P1:流程可观测(无脚本版):
data/run_log/<YYYY-MM-DD_HH-mm-ss>.json(手工写文件即可,不新增脚本)。steps、durations_ms、failed_step、error_message、screenshots、result_url、draft_check、editor_check、route_check、post_publish_check。P1:固定模板(强烈建议):
[主题词]+[观点/结论],目标 12开场观点 -> 事实1 -> 事实2 -> 个人判断 -> 行动建议,默认 >120 字。data/tag_registry.json 选取,避免临场造词导致门禁失败。P2:回归用例(每日 smoke,手工执行):
run_log,用于对比“定位稳定性/错位率”。流程(浏览器侧全部由 agent-browser-stealth 完成):
data/publish_payload.json(必须 ok=true)。https://creator.xiaohongshu.com/publish/publish,先 snapshot -i 获取最新结构。published=true + 菜单进入笔记管理二次查验),并写入 run_log。发布结果输出契约(JSON):
{
"task": "xhs_publish",
"ok": true,
"result_url": "https://creator.xiaohongshu.com/....",
"content_checks": {
"title_len": 18,
"body_len": 136,
"tag_count": 3,
"real_topic_count": 3,
"editor_alignment_ok": true,
"draft_saved_ok": true,
"publish_precheck_ok": true,
"published_param_ok": true,
"manage_menu_check_ok": true,
"topic": "今日热点:xxxx",
"source_date": "2026-02-12"
},
"artifacts": {
"payload_json": "data/publish_payload.json",
"media_inputs": ["..."],
"run_log_json": "data/run_log/2026-02-27_14-36-00.json",
"error_screenshot": null
}
}发布失败时 ok=false,并返回 error_message、error_screenshot 路径、未通过的 missing_checks 与 failed_stage(preflight/fill/readback/publish/postcheck)。
目标:把创作者中心关键数据导出到 data/exports/<YYYY-MM-DD>/,用于后续分析。
agent-browser-stealth 进入创作者中心的常用分析页(仪表盘/内容分析/粉丝分析)。data/exports/<date>/命令:
node ./bin/xhs-skill.mjs qr show --in <pngPath>node ./bin/xhs-skill.mjs cookies normalize --in <jsonPath> --out <outPath>node ./bin/xhs-skill.mjs cookies status --in <cookiesJsonPath>node ./bin/xhs-skill.mjs cookies to-header --in <cookiesJsonPath>node ./scripts/verify_publish_payload.mjs --in <payloadJsonPath> --policy ./config/verify_publish_policy.json --tag-registry ./data/tag_registry.json --min-registry-tags 12 --require-source-evidence on --strict-anti-ai on [--mode hot]node ./scripts/review_publish_payload.mjs --in <payloadJsonPath> --policy ./config/review_policy.json --taxonomy ./config/review_taxonomy.json --ai-provider auto --require-ai off [--mode hot]npm run check:constraintsnpm testgit status --shortdocs(skill): 补充发版前快速自检清单clawhub sync --all --bump patch --changelog "docs: 补充发版前快速自检清单"© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (scripts) in skills/xhs-skill of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 7cefd81
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 9, 2026.
Xhs Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Xhs Skill this skillaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Xiaohongshu Content Researchjumodada/Drissionpage-MCP-Server | 487 | — | ~768 | Automated safety check: Pass | Custom licence | |
| Xhs CLIjackwener/xhs-cli | 666 | — | ~1.1k | Automated safety check: Warn | Apache-2.0 | |
| Xiaohongshu HubOpenMinis/MinisSkills | 446 | — | ~2.7k | Automated safety check: Pass | MIT | |
| bb-browser Site Commands for OpenClawepiral/bb-browser | 6.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Dev-Browser CLI AutomationSawyerHood/dev-browser | 6.7k | 1 repos | ~455 | Automated safety check: Pass | MIT |
jumodada/Drissionpage-MCP-Server
A skill your agent uses for authorized, read-only research on public Xiaohongshu content or the local Xiaohongshu-like playground fixture.
jackwener/xhs-cli
Headless-browser-based CLI skill for Xiaohongshu (小红书, RedNote, XHS) to search notes, read posts, browse profiles, like, favorite, comment, and publish from the terminal
OpenMinis/MinisSkills
Skill for reading and writing Xiaohongshu (XHS) data using Python + UV.
epiral/bb-browser
Runs structured data commands against sites such as Twitter, Reddit, GitHub, YouTube and Zhihu through OpenClaw's browser, reusing your existing login state.
SawyerHood/dev-browser
Browser automation with persistent named pages via the dev-browser CLI. Use when users ask to navigate websites, fill forms, take screenshots, extract web…
Bin-Huang/camoufox-cli
Anti-detect browser automation CLI & Skills for AI agents. An agent skill from Bin-Huang/camoufox-cli.
aAAaqwq/AGI-Super-Team
Create SEO-optimized marketing content with consistent brand voice.
aAAaqwq/AGI-Super-Team
Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.
aAAaqwq/AGI-Super-Team
Transaction-verified trading signals on Base blockchain. An agent skill from aAAaqwq/AGI-Super-Team.
aAAaqwq/AGI-Super-Team
Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents).
aAAaqwq/AGI-Super-Team
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.
aAAaqwq/AGI-Super-Team
Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.
Works with
Categories
小红书(创作者中心)登录拿 cookies、发布笔记、导出数据的单一入口技能(浏览器交互委托 agent-browser-stealth). Xhs Skill is an agent skill from aAAaqwq/AGI-Super-Team.
Xhs Skill fits situations like: tasks that involve Browser automation.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a claude-code`. Or copy the skill folder (skills/xhs-skill in aAAaqwq/AGI-Super-Team) into .claude/skills/xhs-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a codex`. Or copy the skill folder (skills/xhs-skill in aAAaqwq/AGI-Super-Team) into .agents/skills/xhs-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill xhs-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xhs-skill, .gemini/skills/xhs-skill, .github/skills/xhs-skill and .opencode/skills/xhs-skill in your project.
Going by SKILL.md and its folder, Xhs Skill needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node, npm and git). Our summary lists: Node.js.
SKILL.md names 1 domain. In commands or code: creator.xiaohongshu.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Xhs Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Xhs Skill: Xiaohongshu Content Research (jumodada/Drissionpage-MCP-Server, 487 stars), Xhs CLI (jackwener/xhs-cli, 666 stars), Xiaohongshu Hub (OpenMinis/MinisSkills, 446 stars) and bb-browser Site Commands for OpenClaw (epiral/bb-browser, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.