profile-website-bot-detection

Profile a website for bot detection vendors using stealth vs non-stealth Kernel browsers.

What this skill does for you

Profile a website for bot detection vendors using stealth vs non-stealth Kernel browsers. Use when analyzing bot detection on a website, comparing stealth effectiveness, identifying anti-bot vendors and products, or detecting challenge types.

Quoted from the skill description in the pinned source

Who made it

Publisherkernel

Repositoryskills

Installs334as 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 profile-website-bot-detection skill from kernel/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: 47eab5f66b027ddf4b25854d12ff73dca3844f6b. 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: 47eab5f66b027ddf4b25854d12ff73dca3844f6b. Raw findings: 2. 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: 47eab5f66b027ddf4b25854d12ff73dca3844f6b. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/kernel/skills
Pinned skill file: View source at revision
Revision: 47eab5f66b027ddf4b25854d12ff73dca3844f6b
Package hash: sha256:f7bbacd7183eac81edec9f796b4d42ec3bd439ca00b29cf5ee9e90912d1fc4ff
Licence: MIT