Edge Copy setup link
Skill evidence / tracking-competitor-social-media-growth
Skill profile

tracking-competitor-social-media-growth

Tracks and compares competitor follower growth across social platforms using apidojo's scrapers on Apify.

What this skill does for you

Tracks and compares competitor follower growth across social platforms using apidojo's scrapers on Apify. Triggers when the user asks to: compare competitor social media growth, track how fast a competitor is growing on Twitter, TikTok, or Instagram, benchmark social media performance against competitors, monitor competitor follower counts over time, analyze a competitor's social media strategy, build a competitive social media analysis report, or see which competitor is winning on social. Returns platform, handle, follower count, growth indicators, and engagement benchmarks per competitor. Ideal for competitive intelligence analysts, CMOs, and growth strategy teams.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io
Repositoryapidojo-skills
Installs416as 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 tracking-competitor-social-media-growth 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:bed9dfb298e11da0114eec60c44a2645d033febb99c8b7da3e11a70f641faa2f
Licence
Apache-2.0