Edge Copy setup link
Skill evidence / building-twitter-industry-watchlist
Skill profile

building-twitter-industry-watchlist

Builds a curated Twitter industry watchlist of key voices using apidojo's Twitter scrapers on Apify.

What this skill does for you

Builds a curated Twitter industry watchlist of key voices using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: build a Twitter watchlist for an industry, find key Twitter accounts to follow in a niche, create a curated list of thought leaders in a sector on X, identify the most influential Twitter accounts in a business category, build a Twitter list for industry monitoring, find the signal-to-noise accounts in a topic area, or compile the must-follow accounts for staying current in an industry. Returns account list with handle, follower count, engagement rate, topic focus, and influence score. Ideal for business analysts, investors, executives, and professionals doing industry intelligence.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io
Repositoryapidojo-skills
Installs408as 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 building-twitter-industry-watchlist skill from apidojo-io/apidojo-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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . 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: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . 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: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/apidojo-io/apidojo-skills
Pinned skill file
View source at revision
Revision
ffbdc00cbd01d09802e7f389ac4f61d4803972a7
Package hash
sha256:355b0d711e0026f66cfbebac83033ddf989c54cdc006682c492a2e9bc94f604a
Licence
Apache-2.0