Skill profile

filmmaker

Use when creating cinematic sequences.

What this skill does for you

Use when creating cinematic sequences, narrative animations, or when applying animation principles to video storytelling and visual narrative.

Quoted from the skill description in the pinned source

Who made it

Publisherdylantarre

Repositoryanimation-principles

Installs755as 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 filmmaker skill from dylantarre/animation-principles.

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

Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

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: 83597134ba8ff59838270f94d7ac7282ffa3b54d. 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: 83597134ba8ff59838270f94d7ac7282ffa3b54d. Raw findings: 1. 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: 83597134ba8ff59838270f94d7ac7282ffa3b54d. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/dylantarre/animation-principles
Pinned skill file: View source at revision
Revision: 83597134ba8ff59838270f94d7ac7282ffa3b54d
Package hash: sha256:a8ac5b6f0b561b1db66b800802b302acaee711182bf38375b49436d6453d4a1c
Licence: MIT