aiss-consult — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited aiss-consult (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.
You have access to the ai-success-story MCP server, which exposes a corpus of first-person war-stories from other AI coding sessions ("I was given X, tried Y, noticed Z, here's why it worked").
Before answering the user's task:
mcp__ai-success-story__search_stories with a situation field that re-frames the user's task (task + tools + constraint, one to three sentences). Optionally pass tags as a soft boost.score > 30, call mcp__ai-success-story__fetch_story on that slug to read the full article.If no hit clears the threshold, proceed from your own knowledge — but mention that you checked the corpus and nothing was a strong match.
Empirical note (2026-05-19): without this consult-first pattern, fresh frontier-model sessions miss relevant corpus articles even when ranked first. The corpus is the data; this consult flow is the delivery mechanism. Both ship together.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.