audio — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited audio (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Faithful, original-prose reference for audio: Wwise integration, the Audio Translation Layer (ATL), and audio controls. Identifiers (component names, EBus calls, material/shader parameters, file formats, enum values, numbers) are preserved verbatim. One subject per file across 15 reference files.
Use this sub-skill when the task involves audio, Wwise, ATL, sound. It applies even when "Lumberyard" is not named but a relevant tool, file format, or component is in play.
references/INDEX.md (or references/topics.json) and pick the one file that matches — the INDEX "Covers" column lists the subjects in each file.rg -n "PATTERN" references/*.md.Recurring failure modes and what to do instead live in the sibling GOTCHA.md.
All depth lives in references/ — start at references/INDEX.md, with metadata in references/topics.json. One subject per file.
python "$env:DEVROOT\SKILLS\skills\skill-drafting\scripts\validate_skill_package.py" "$env:DEVROOT\SKILLS\skills\lumberyard\audio"~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.