m3-save — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited m3-save (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.
Use this skill when you want to write a new observation, fact, decision, or preference to memory, and want the system to automatically classify its type, scope, and title while verifying it with the user first.
You're about to write to m3-memory. Do not call memory_write yet. First propose a plan:
$ARGUMENTS) plus the last few turns of context.type from this list:decision — choices made with a whyfact — verifiable assertion about the worldpreference — user's stated like / dislike / conventionnote — informal observation, doesn't fit other typestask — actionable item with statereference — pointer to external doc / URL / locationknowledge — durable understanding of how something worksobservation — what you noticed during a sessionsummary — distilled takeaway from a longer threadscope (default: user) — most personal facts/preferences are user-scoped; project knowledge often isn't.title if missing.{type, scope, title, content} and ask for a single y to write, or any other key to abort.y: call m3:memory_write with those fields.Reasoning for the choices is fine to include but keep it short — the user wants speed, not a treatise.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.