Install
$ agentstack add skill-jovijovi-skills-xiaohongshu-extract ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Xiaohongshu Extract
Overview
Extract note metadata (title, desc, type, time, user, engagement, tags, video stream info) from an XHS share or discovery URL using the bundled script.
Quick Start
Run the extractor and print JSON to stdout:
python scripts/xiaohongshu_extract.py "" --pretty
Write JSON to a file:
python scripts/xiaohongshu_extract.py "" --output /tmp/xhs_note.json
Output only the flattened record:
python scripts/xiaohongshu_extract.py "" --flat-only --pretty
Write only the flattened record to a file:
python scripts/xiaohongshu_extract.py "" --flat-only --output /tmp/xhs_flat.json
Emit errors as JSON:
python scripts/xiaohongshu_extract.py "" --error-json
Emit errors as JSON to a file:
python scripts/xiaohongshu_extract.py "" --error-json --output /tmp/xhs_error.json
Workflow
- Run
scripts/xiaohongshu_extract.pywith the user-provided URL. - If the script fails to find
window.__INITIAL_STATE__, ask the user for a direct discovery URL. - Use the JSON output to summarize note metadata or to feed downstream analysis.
Output Notes
The script returns a JSON object with:
note_id,title,desc,type,time,ip_locationuser(nickname, user_id, avatar)interact(liked/collected/comment/share counts, plus normalized *_num values)tagsvideo(videoid, duration, width, height, fps, size, streamurl)field_mapping(nested-to-flat field name map)flat(flattened record with normalized counts and ISO timestamp)
If the stream list is empty, video fields may be null or empty.
If --flat-only is set, only flat is printed. If --error-json is set, errors are emitted as JSON and may include final_url and status_code when available.
Resources
scripts/
scripts/xiaohongshu_extract.pyextracts note metadata from XHS share/discovery URLs.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jovijovi
- Source: jovijovi/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.