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Use when computing the 5D Compressed SMA Slope factor from user-supplied real OHLCV data or reviewing its bundled real-data validation metrics.
quant-real-factor-5d-compressed-sma-slope is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # 5D Compressed SMA Slope Use this Skill to compute `5日压缩均线斜率` / `5D Compressed SMA Slope` from caller-provided OHLCV data. ## Workflow 1. Load a `pandas.DataFr. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding quant-real-factor-5d-compressed-sma-slope to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install lyyyxin/lxinyReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# 5D Compressed SMA Slope Use this Skill to compute `5日压缩均线斜率` / `5D Compressed SMA Slope` from caller-provided OHLCV data. ## Workflow 1. Load a `pandas.DataFrame` with `open`, `h