chat-format — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited chat-format (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.
Format prompts for multi-provider LLM inference with context retrieval.
When preparing prompts for different LLM providers (Claude, GPT, Gemini, Ollama) or building RAG pipelines with HNSW-powered context retrieval.
mcp__claude-flow__ruvllm_chat_format with messages and target providermcp__claude-flow__ruvllm_hnsw_create for context retrievalmcp__claude-flow__ruvllm_hnsw_add to index documentsmcp__claude-flow__ruvllm_hnsw_route to find relevant contextmcp__claude-flow__ruvllm_status for provider availability~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.