Edge Copy setup link
Skill evidence / page-mascot
Skill profile

page-mascot

Put a cursor-tracking mascot on a page -- a chibi character.

What this skill does for you

Put a cursor-tracking mascot on a page -- a chibi character that turns its head toward the pointer and reacts when clicked. Picks one of the fifty-two drawn characters and wires up the React component, or draws a new one (with your own image tool, the OpenAI images API, or from a photo of the user), builds its two sprite sheets into aligned atlases and verifies they do not jump. Use when the user asks for a mascot, a character that watches the cursor, a portfolio head, wants one of the existing characters on their page, or wants a new character drawn.

Quoted from the skill description in the pinned source

Who made it

Publishernilbuild
Repositorypage-mascot
Installs578as 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 page-mascot skill from nilbuild/page-mascot.

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: 76a44ed9180063bf4852b9dd724b656f4a828ac7. Raw findings: 1. 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: 76a44ed9180063bf4852b9dd724b656f4a828ac7. Raw findings: 5. 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: 76a44ed9180063bf4852b9dd724b656f4a828ac7. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/nilbuild/page-mascot
Pinned skill file
View source at revision
Revision
76a44ed9180063bf4852b9dd724b656f4a828ac7
Package hash
sha256:912ec91e42306e41abe27bfc9ef634376b0733228a05d5549712067b013cc6be
Licence
MIT