
Research
This skill orchestrates deep codebase exploration by spawning sub-agents that search through multiple tiers of information: code maps, semantic search, git history, scoped grep, source files, and prior knowledge artifacts. It's designed for when you need comprehensive findings on a specific topic rather than quick lookups. The implementation is backend-agnostic, detecting whether you're running Codex sub-agents, Claude native teams, or background tasks, then dispatching accordingly. Interesting bit: it enforces iterative retrieval where agents score relevance and extract new search terms from high-scoring files for up to three refinement cycles. Results land in markdown files under .agents/research/. The auto flag skips approval gates for fully autonomous workflows.
- skills.sh installs
- 1.5K
- GitHub stars
- 454
- last updated
- Aug 21, 2026
Install
$ npx -y skills add boshu2/agentops --skill research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Research
Answer the caller's bounded question with cited evidence. Choose ordinary investigation, claim checking, a claimed-state audit, decision lineage, repository tracing or pattern evidence according to the question; these are optional modes, not a sequence. A quick answer needs no report file. Plan owns unified discovery and resumption when the question is part of shaping a change; return this cited answer to that existing intent without restarting its interview or taking over caller choices.
Evidence rules
Sponsors
Details
- Repository
- github.com/boshu2/agentops
- Category
- Data Science & ML
- First seen
- May 16, 2026