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Skill evidence / taste-application
Skill profile

taste-application

Generate new video against a distilled style pack and cut it into a finished piece - plan takes from...

What this skill does for you

Generate new video against a distilled style pack and cut it into a finished piece - plan takes from the reference's cut rhythm, generate on fal, grade with the pack's measured LUT, cut at the measured cadence, weave in existing footage, composite overlay plates, mint 3D props, and verify the result numerically. Use when the user wants to make a video in a captured style, supplement existing footage, or assemble generated clips into a real edit.

Quoted from the skill description in the pinned source

Who made it

Publisheraffaan-m
Repositoryecc
Installs510as 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 taste-application skill from affaan-m/ecc.

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: e482e579415fde18357cafce70f177ae19fd7f03. Raw findings: 24. 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: e482e579415fde18357cafce70f177ae19fd7f03. Raw findings: 21. 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: e482e579415fde18357cafce70f177ae19fd7f03. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/affaan-m/ecc
Pinned skill file
View source at revision
Revision
e482e579415fde18357cafce70f177ae19fd7f03
Package hash
sha256:62463c744e6724da570e00bb83d4d745e9ad6dff6a20d9d4d218a7c5ffdceed3
Licence
MIT