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Conducts in-depth code research using a tiered tool strategy. Use when investigating codebases, researching libraries/APIs, debugging errors, or understanding unfamiliar code patterns.
code-research is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. <objective> Perform comprehensive code research by intelligently selecting from built-in tools, lightweight scripts, and MCP servers. The skill prioritizes cont. 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 code-research to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install lxyeternal/MalSkillBenchReview 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.
<objective> Perform comprehensive code research by intelligently selecting from built-in tools, lightweight scripts, and MCP servers. The skill prioritizes context-efficient approa