deep-research — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited deep-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.
Orchestrate multi-phase deep research campaigns that gather, cross-reference, and synthesize information from multiple sources.
When you need to investigate a complex topic thoroughly — spanning web sources, codebase patterns, stored memory, and external documentation — and produce a structured synthesis.
mcp__claude-flow__memory_search_unified and mcp__claude-flow__agentdb_pattern-search to check what's already knownWebSearch and WebFetch to gather external information for each sub-questionBash (grep/find), Read to examine relevant source filesmcp__claude-flow__memory_store with namespace research for each key findingmcp__claude-flow__agentdb_pattern-store for reusable patterns discoveredresearch — raw findings keyed by topicresearch-synthesis — completed synthesis reportsresearch-sources — source URLs and references~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.