market-ingest — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited market-ingest (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.
Fetch market data for a symbol, normalize to OHLCV vectors, and store with HNSW indexing for fast pattern search.
When you need to ingest raw market data (price and volume) for a symbol and prepare it for pattern detection and similarity search. This is the first step before running pattern detection or comparison.
(open - prev_close) / prev_close(high - open) / open(low - open) / open(close - open) / openmcp__claude-flow__embeddings_generate (NOT embeddings_embed — that tool name does not exist).mcp__claude-flow__memory_store --namespace market-data to persist normalized OHLCV data with symbol+date keys. The memory_* tool family routes by namespace; the agentdb_hierarchical-* family routes by tier (working|episodic|semantic) and ignores namespace strings, so use memory_* here.mcp__claude-flow__ruvllm_hnsw_add to add vectors to the HNSW index for nearest-neighbor search.npx @claude-flow/cli@latest memory store --namespace market-data --key "symbol-SYMBOL-DATE" --value "OHLCV_JSON"~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.