shengjiang-research

Uses the user's own paid TikHub API to research public social-media creators.

What this skill does for you

Uses the user's own paid TikHub API to research public social-media creators, accounts, posts, videos, comments, transcripts, topics, and performance data, then exports traceable JSON, Markdown, CSV, or Excel assets. Use whenever the user mentions 生姜调研、全平台调研、博主调研、对标账号、抓作品、抓评论、下载视频、批量下载视频、视频转逐字稿、逐字稿、 TikHub、抖音、小红书、视频号、TikTok、YouTube、B站、微博、Instagram、X、 Reddit、知乎 or 社媒公开数据监控. Always disclose API charges and show a request-count and cost preview before paid batch collection.

Quoted from the skill description in the pinned source

Who made it

Publisheraslanyushengjiang-coder

Repositoryshengjiang-skills

Installs345as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the shengjiang-research skill from aslanyushengjiang-coder/shengjiang-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 9101a1faec4d4fe81f47bf1e91869e33667dcaee. Raw findings: 6. Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 9101a1faec4d4fe81f47bf1e91869e33667dcaee. Raw findings: 8. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 9101a1faec4d4fe81f47bf1e91869e33667dcaee. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/aslanyushengjiang-coder/shengjiang-skills
Pinned skill file: View source at revision
Revision: 9101a1faec4d4fe81f47bf1e91869e33667dcaee
Package hash: sha256:64f3a395c348c1d8b636a64643539ddc54d3b438f56043e110926f8acfb74034
Licence: MIT