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Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
academic-deep-research is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Academic Deep Research 🔬 ## When to Use **Native tools:** `web_search`, `web_fetch`, `sessions_spawn` Trigger this skill when the user wants: - Deep research. 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 academic-deep-research to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install kesslerio/academic-deep-research-clawhub-skillReview 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.
# Academic Deep Research 🔬 ## When to Use **Native tools:** `web_search`, `web_fetch`, `sessions_spawn` Trigger this skill when the user wants: - Deep research, exhaustive analysi