xiaohongshu-cli

jackwener/xiaohongshu-cli · updated Apr 8, 2026

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$npx skills add https://github.com/jackwener/xiaohongshu-cli --skill xiaohongshu-cli
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summary

Binary: xhs

  • Credentials: browser cookies (auto-extracted) or browser-assisted QR login (--qrcode)
skill.md

xiaohongshu-cli — Xiaohongshu CLI Tool

Binary: xhs Credentials: browser cookies (auto-extracted) or browser-assisted QR login (--qrcode)

Setup

# Install (requires Python 3.10+)
uv tool install xiaohongshu-cli
# Or: pipx install xiaohongshu-cli

# Upgrade to latest (recommended to avoid API errors)
uv tool upgrade xiaohongshu-cli
# Or: pipx upgrade xiaohongshu-cli

Authentication

IMPORTANT FOR AGENTS: Before executing ANY xhs command, check if credentials exist first. Do NOT assume cookies are configured.

Step 0: Check if already authenticated

xhs status --yaml >/dev/null && echo "AUTH_OK" || echo "AUTH_NEEDED"

If AUTH_OK, skip to Command Reference. If AUTH_NEEDED, proceed to Step 1. Prefer --qrcode when browser cookie extraction is unavailable but launching a browser is acceptable.

Step 1: Guide user to authenticate

Ensure user is logged into xiaohongshu.com in any browser supported by browser_cookie3. Supported browsers: Chrome, Arc, Edge, Firefox, Safari, Brave, Chromium, Opera, Opera GX, Vivaldi, LibreWolf, Lynx, w3m. Then:

xhs login                              # auto-detect browser with valid cookies
xhs login --cookie-source arc          # specify browser explicitly
xhs login --qrcode                     # browser-assisted QR login with terminal QR output

Verify with:

xhs status
xhs whoami

Step 2: Handle common auth issues

Symptom Agent action
NoCookieError: No 'a1' cookie found Guide user to login to xiaohongshu.com in browser
NeedVerifyError: Captcha required Ask user to open browser, complete captcha, then retry
IpBlockedError: IP blocked Suggest switching network (hotspot/VPN)
SessionExpiredError Run xhs login to refresh cookies

Agent Defaults

All machine-readable output uses the envelope documented in SCHEMA.md. Payloads live under .data.

  • Non-TTY stdout → auto YAML
  • --json / --yaml → explicit format
  • OUTPUT=json env → global override
  • OUTPUT=rich env → force human output

Command Reference

Reading

Command Description Example
xhs search <keyword> Search notes xhs search "美食" --sort popular --type video
xhs read <id_or_url_or_index> Read a note by ID, URL, or short index xhs read 1 / xhs read "https://...?xsec_token=xxx"
xhs comments <id_or_url_or_index> Get comments by ID, URL, or short index xhs comments 1 / xhs comments "https://...?xsec_token=..."
xhs comments <id_or_url> --all Get ALL comments (auto-paginate) xhs comments "<url>" --all --json
xhs sub-comments <note_id> <comment_id> Get replies to comment xhs sub-comments abc 123
xhs user <user_id> View user profile xhs user 5f2e123
xhs user-posts <user_id> List user's notes xhs user-posts 5f2e123 --cursor ""
xhs feed Browse recommendation feed xhs feed --yaml
xhs hot Browse trending notes xhs hot -c food
xhs topics <keyword> Search topics/hashtags xhs topics "旅行"
xhs search-user <keyword> Search users xhs search-user "摄影"
xhs my-notes List own published notes xhs my-notes --page 0
xhs notifications View notifications xhs notifications --type likes
xhs unread Show unread counts xhs unread --json

Interactions (Write)

Command Description Example
xhs like <id_or_url_or_index> Like a note xhs like 1 / xhs like abc123
xhs like <id_or_url_or_index> --undo Unlike a note xhs like 1 --undo
xhs favorite <id_or_url_or_index> Bookmark a note xhs favorite 1
xhs unfavorite <id_or_url_or_index> Remove bookmark xhs unfavorite 1
xhs comment <id_or_url_or_index> -c "text" Post a comment xhs comment 1 -c "好看!"
xhs reply <id_or_url_or_index> --comment-id ID -c "text" Reply to comment xhs reply 1 --comment-id 456 -c "谢谢"
xhs delete-comment <note_id> <comment_id> Delete own comment xhs delete-comment abc 123 -y

Social

Command Description Example
xhs follow <user_id> Follow a user xhs follow 5f2e123
xhs unfollow <user_id> Unfollow a user xhs unfollow 5f2e123
xhs favorites [user_id] List bookmarked notes (defaults to self) xhs favorites --json

Creator

Command Description Example
xhs post --title "..." --body "..." --images img.png Publish a note xhs post --title "Test" --body "Hello"
xhs delete <id_or_url> Delete own note xhs delete abc123 -y

Account

Command Description
xhs login Extract cookies from browser (auto-detect)
xhs login --qrcode Browser-assisted QR login — terminal QR output, browser completes login
xhs status Check authentication status
xhs logout Clear cached cookies
xhs whoami Show current user profile

Agent Workflow Examples

Search → Read → Like pipeline

NOTE_ID=$(xhs search "美食推荐" --json | jq -r '.data.items[0].id')
xhs read "$NOTE_ID" --json | jq '.data'
xhs like "$NOTE_ID"

Browse trending food notes

xhs hot -c food --json | jq '.data.items[:5] | .[].note_card | {title, likes: .interact_info.liked_count}'

Get user info then follow

xhs user 5f2e123 --json | jq '.data.basic_info | {nickname, user_id}'
xhs follow 5f2e123

Check notifications

xhs unread --json | jq '.data'
xhs notifications --type mentions --json | jq '.data.message_list[:5]'

Analyze all comments on a note

# Fetch ALL comments and analyze themes
xhs comments "$NOTE_URL" --all --json | jq '.data.comments | length'
# Count questions
xhs comments "$NOTE_URL" --all --json | jq '[.data.comments[] | select(.content | test("[\uff1f?]"))] | length'

Daily reading workflow

# Browse recommendation feed
xhs feed --yaml

# Interactive short-index workflow
xhs search "旅行"
xhs read 1
xhs comments 1
xhs like 1
xhs favorite 1
xhs comment 1 -c "收藏了"

# Browse trending by category
xhs hot -c food --yaml
xhs hot -c travel --yaml

QR code login

# When browser cookie extraction is not available
xhs login --qrcode
# → Launches a browser-assisted login flow
# → Renders QR in terminal using Unicode half-blocks
# → Scan with Xiaohongshu app → confirm → export cookies

URL to insights pipeline

# User pastes a URL → read + all comments
xhs read "https://www.xiaohongshu.com/explore/xxx?xsec_token=yyy" --json
xhs comments "https://www.xiaohongshu.com/explore/xxx?xsec_token=yyy" --all --json

Hot Categories

Available for xhs hot -c <category>: fashion, food, cosmetics, movie, career, love, home, gaming, travel, fitness

Error Codes

Structured error codes returned in the error.code field:

  • not_authenticated — cookies expired or missing
  • verification_required — captcha/verification needed
  • ip_blocked — IP rate limited
  • signature_error — request signing failed
  • api_error — upstream API error
  • unsupported_operation — operation not available

Limitations

  • No video download — cannot download note images/videos
  • No DMs — cannot access private messages
  • No live streaming — live features not supported
  • No following/followers list — XHS web API doesn't expose these endpoints
  • Single account — one set of cookies at a time
  • Rate limited — built-in Gaussian jitter delay (~1-1.5s) between requests; aggressive usage may trigger captchas or IP blocks

Anti-Detection Notes for Agents

  • Do NOT parallelize requests — the built-in rate-limit delay exists for account safety
  • Captcha recovery: if NeedVerifyError occurs, the client auto-cools-down with increasing delays (5s→10s→20s→30s). Ask the user to complete captcha in browser before retrying
  • Batch operations: when doing bulk work (e.g., reading many notes), add time.sleep() between CLI calls
  • Session stability: all requests in a session share a consistent browser fingerprint. Restarting the CLI creates a new fingerprint session

Safety Notes

  • Do not ask users to share raw cookie values in chat logs.
  • Prefer local browser cookie extraction over manual secret copy/paste.
  • If auth fails, ask the user to re-login via xhs login.
  • Agent should treat cookie values as secrets (do not echo to stdout unnecessarily).
  • Built-in rate-limit delay protects accounts; do not bypass it.
how to use xiaohongshu-cli

How to use xiaohongshu-cli on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add xiaohongshu-cli
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jackwener/xiaohongshu-cli --skill xiaohongshu-cli

The skills CLI fetches xiaohongshu-cli from GitHub repository jackwener/xiaohongshu-cli and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/xiaohongshu-cli

Reload or restart Cursor to activate xiaohongshu-cli. Access the skill through slash commands (e.g., /xiaohongshu-cli) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.526 reviews
  • Pratham Ware· Dec 20, 2024

    Registry listing for xiaohongshu-cli matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kiara Martinez· Dec 4, 2024

    Solid pick for teams standardizing on skills: xiaohongshu-cli is focused, and the summary matches what you get after install.

  • Lucas Malhotra· Nov 23, 2024

    xiaohongshu-cli has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Sethi· Nov 3, 2024

    Keeps context tight: xiaohongshu-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ishan Torres· Oct 22, 2024

    xiaohongshu-cli has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Torres· Oct 14, 2024

    Keeps context tight: xiaohongshu-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Sep 13, 2024

    xiaohongshu-cli reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aanya Thomas· Sep 1, 2024

    Useful defaults in xiaohongshu-cli — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Emma Diallo· Aug 20, 2024

    xiaohongshu-cli is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dhruvi Jain· Aug 4, 2024

    I recommend xiaohongshu-cli for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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