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Use when you have LC-MS peak/feature data, a curated suspect compound database with known m/z, retention time, and fragment ion coordinates, and you observe that traditional peak extraction algorithms have failed to detect ions corresponding to suspected contaminants or chemicals of interest.
suspect-database-matching is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Suspect Database Matching via Targeted Peak Extraction ## Summary A mass spectrometry feature recovery skill that uses a targeted peak extraction strategy to. 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 suspect-database-matching to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install HolobiomicsLab/asb-skill-collectionsReview 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.
# Suspect Database Matching via Targeted Peak Extraction ## Summary A mass spectrometry feature recovery skill that uses a targeted peak extraction strategy to rescue chemical feat