agent-exploration

agent-exploration is an Agent task delegation & fan-out skill for AI agents, published by compozy in the codex-loop repository on GitHub. Skillspace rates agent-exploration C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Dispatches scoped-write explorer subagents in parallel for general research and exploration of any codebase, topic, or domain. The operator passes --path (output directory), --agents (parallel count), and --prompt (research question). The parent scouts the territory first to divide work, dispatches N explorer subagents that each write one analysis file at <path>/analysis/NN_analysis_<slug>.md following a seven-section schema, then synthesizes <path>/analysis/summary.md. The skill self-contains the explorer subagent definition and prompts the operator to install it at .claude/agents/explorer.md when absent. Use when running parallel multi-area research that must produce written artifacts. Do not use for competitor-only research already covered by cy-research-competitors, single-file lookups answerable by Explore, or edits to existing code.

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

34

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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