Agent skill

Xiaohongshu Content Research

by jumodada in 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.

Custom licenceAuto-check passedProductivity & Automation

Install Xiaohongshu Content Research

skills CLI
$ npx skills add jumodada/Drissionpage-MCP-Server --skill xiaohongshu-content-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jumodada/Drissionpage-MCP-Server xiaohongshu-content-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jumodada/Drissionpage-MCP-Server.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/xiaohongshu-content-research .claude/skills/xiaohongshu-content-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
xiaohongshu-content-research
GitHub stars
487
Token cost
~768 tokens
SKILL.md length
394 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses for authorized, read-only research on public Xiaohongshu content or the local Xiaohongshu-like playground fixture.

  • Works in 7 steps: Confirm the URL, authorization, robots… → Call page_navigate once, then… → If a search form is visibly available,… → …
  • Read-only research on public Xiaohongshu content
  • SKILL.md covers Stop conditions, Bounded read-only sequence, Local playground validation and Evidence and privacy
  • Calls python

What it does

Xiaohongshu Content Research is an agent skill from jumodada/Drissionpage-MCP-Server. Use for authorized, read-only research on public Xiaohongshu content or the local Xiaohongshu-like playground fixture. Enforces robots, login, captcha, rate-limit, and safety checks before collecting bounded note metadata.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Rate limiting, MCP servers and Browser automation. It works with Xiaohongshu and Model Context Protocol. The repository describes itself as: DrissionPage MCP Server · Browser automation for Claude Code, Codex, and MCP clients.

When your agent uses it

  • Read-only research on public Xiaohongshu content
  • The local Xiaohongshu-like playground fixture

Example prompts

  • “/xiaohongshu-content-research”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the URL, authorization, robots policy, and a small request budget.
  2. Call page_navigate once, then page_observe or page_snapshot.
  3. If a search form is visibly available, use element_find and
  4. Use element_find_all for note cards and extract only bounded visible
  5. Open at most the requested number of detail links with page_navigate or
  6. Verify each result with element_get_text, element_get_attribute, or
  7. Close additional tabs and return a source URL, collection count, and the

What it can do on your machine

Read from SKILL.md and the folder at commit 30e8adf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Xiaohongshu Content Research loads about 768 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 394 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~768

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.

Safety

Auto-check passed

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 394 words (~768 tokens).

“This Skill composes the generic drissionpage-mcp tools for content research. The MCP host executes the tool calls; the Markdown Skill itself does not access the browser or network. It does not log in, bypass a captcha, defeat a safety page…”

— opening of SKILL.md by jumodada, Custom licence
name
xiaohongshu-content-research

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/xiaohongshu-content-research of jumodada/Drissionpage-MCP-Server.

Open the folder on GitHubat commit 30e8adf

Compare with similar skills

Xiaohongshu Content Research 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.

Xiaohongshu Content Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Xiaohongshu Content Research this skilljumodada/Drissionpage-MCP-Server487—~768Automated safety check: PassCustom licence
Unbrowseunbrowse-ai/unbrowse783—~3.7kAutomated safety check: PassMIT
Isolated Linux Agent Workspaceagent-sh/agent-workspace-linux186—~2.1kAutomated safety check: PassMIT
Agents SDKhodgef/apiker1273 repos~3kAutomated safety check: PassMIT
Horizon Browserpeters/horizon716—~5.1kAutomated safety check: PassMIT
CLI Anything SafariHKUDS/CLI-Anything52k—~3.4kAutomated safety check: PassApache-2.0

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Questions about Xiaohongshu Content Research

What does Xiaohongshu Content Research do?

A skill your agent uses for authorized, read-only research on public Xiaohongshu content or the local Xiaohongshu-like playground fixture. Xiaohongshu Content Research is an agent skill from jumodada/Drissionpage-MCP-Server. Use for authorized, read-only research on public Xiaohongshu content or the local Xiaohongshu-like playground fixture.

When should I use Xiaohongshu Content Research?

Xiaohongshu Content Research fits situations like: read-only research on public Xiaohongshu content; the local Xiaohongshu-like playground fixture.

How do I install Xiaohongshu Content Research in Claude Code?

Run `npx skills add jumodada/Drissionpage-MCP-Server --skill xiaohongshu-content-research -a claude-code`. Or copy the skill folder (skills/xiaohongshu-content-research in jumodada/Drissionpage-MCP-Server) into .claude/skills/xiaohongshu-content-research in your project. Claude Code loads it when a task matches its description.

How do I install Xiaohongshu Content Research in Codex?

Run `npx skills add jumodada/Drissionpage-MCP-Server --skill xiaohongshu-content-research -a codex`. Or copy the skill folder (skills/xiaohongshu-content-research in jumodada/Drissionpage-MCP-Server) into .agents/skills/xiaohongshu-content-research in your project. Codex loads it when a task matches its description.

Can I use Xiaohongshu Content Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jumodada/Drissionpage-MCP-Server --skill xiaohongshu-content-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaohongshu-content-research, .gemini/skills/xiaohongshu-content-research, .github/skills/xiaohongshu-content-research and .opencode/skills/xiaohongshu-content-research in your project.

What does Xiaohongshu Content Research need to run?

Going by SKILL.md and its folder, Xiaohongshu Content Research needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Xiaohongshu Content Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Xiaohongshu Content Research safe to install?

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. Review the folder before installing.

What licence does Xiaohongshu Content Research use?

Xiaohongshu Content Research has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Xiaohongshu Content Research use?

About 768 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Xiaohongshu Content Research?

Skills that share tags, products or a category with Xiaohongshu Content Research: Unbrowse (unbrowse-ai/unbrowse, 783 stars), Isolated Linux Agent Workspace (agent-sh/agent-workspace-linux, 186 stars), Agents SDK (hodgef/apiker, 127 stars) and Horizon Browser (peters/horizon, 716 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xiaohongshu Content Research?

jumodada (a GitHub user) maintains it in jumodada/Drissionpage-MCP-Server, which has 487 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 14, 2026.

Source: jumodada/Drissionpage-MCP-Server on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.