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Generate per-sampled-frame dynamic-object binary masks (motion-compensated) and save them in CSR sparse format to an NPZ.
dyn-object-masks is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. ## Steps 1. For each sampled frame index `i` (0..S-1), read/compute `curr_gray` (H×W). 2. For `i==0`, set the dynamic mask to all-False (no previous frame to co. 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 dyn-object-masks to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install linyouxue/skill-repair-benchmarkReview 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.
## Steps 1. For each sampled frame index `i` (0..S-1), read/compute `curr_gray` (H×W). 2. For `i==0`, set the dynamic mask to all-False (no previous frame to compare), and encode/s