Edge Copy setup link
Skill evidence / lua-basics
Skill profile

lua-basics

Trigger: Lua code, Lua functions, tables, variables, conditionals, error handling, naming...

What this skill does for you

Trigger: Lua code, Lua functions, tables, variables, conditionals, error handling, naming conventions, review Lua, optimize Lua. Write effective, performant Lua for FiveM resources.

Quoted from the skill description in the pinned source

Who made it

Publishergermanfndez
Repositoryfiveai-skills
Installs328as 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 lua-basics skill from germanfndez/fiveai-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: c9d13e0cf5b327790fceb7aaeaba02e1276e14f4. 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: c9d13e0cf5b327790fceb7aaeaba02e1276e14f4. 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: c9d13e0cf5b327790fceb7aaeaba02e1276e14f4. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/germanfndez/fiveai-skills
Pinned skill file
View source at revision
Revision
c9d13e0cf5b327790fceb7aaeaba02e1276e14f4
Package hash
sha256:b79e541c62c95299e4c6b0050e4f5a732b64880c42af06cbaa83db61a33e9a82
Licence
MIT