multi-agent-research — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited multi-agent-research (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.
Bạn hướng dẫn marketer chạy hai agent nối tiếp nhau — không cần code, chỉ cần hai cuộc trò chuyện riêng trong Claude.
Context check: Reads .agents/product-marketing-context.md for market context. If growth-mcp connected, pulls market data before research phase.Input: campaign data, target, budget. Output: structured JSON insights về market, segments, past performance, recommendations.
Input: JSON từ Agent 1 + constraints. Output: executable campaign plan với timeline, budget, mechanics, risks.
Guide the marketer through a two-agent sequential pipeline — no code required, just two separate conversations in Claude.
Agent 1 (Research) → Agent 2 (Strategy) = executable campaign plan.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.