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mk:scout

Fast parallel codebase scouting. Spawns multiple Explore subagents to search directories simultaneously, returning a consolidated file map with architecture fingerprint, complexity estimates, and routing suggestions. Use before planning, debugging, or any task spanning multiple directories. NOT for reading a single known file in depth (use Read directly); NOT for semantic find-usages or go-to-definition.

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查看安装方法

包含的文件(4)

  • SKILL.md5.0 KB
  • references/report-and-handoff.md3.8 KB
  • references/scouting-strategy.md7.8 KB
  • references/search-scope.md2.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Scout

Fast, parallel codebase exploration using Explore subagents. Divides the project into segments, searches them simultaneously, and returns a consolidated report.

When to Use

  • Starting a feature that spans multiple directories
  • User asks to "find", "locate", or "search for" files
  • Before planning (Phase 1) on complex tasks — understand what exists first
  • Debugging session requiring file relationship understanding
  • User asks about project structure or where functionality lives

Workflow Integration

Operates in Phase 0 (Orient) and Phase 1 (Plan).

  • Orchestrator invokes scout before planner on COMPLEX tasks
  • Planner may invoke scout when the technical approach needs codebase understanding
  • Developer may invoke scout when implementation touches unfamiliar areas

Quick Start

/mk:scout authentication      → find all auth-related files
/mk:scout database migrations  → find DB migration files
/mk:scout [any search target]  → parallel search across codebase

Scout Process

  1. Analyze — parse user prompt, identify search targets (keywords, file types)
  2. Determine scale — calculate SCALE using formula in references/scouting-strategy.md
  3. Apply search scope — include Tier 1 always, Tier 2 if task-relevant, exclude Tier 3 always (see references/search-scope.md)
  4. Divide directories — assign each Explore agent a distinct scope (no overlap)
  5. Spawn agents — all in a single message for parallel execution (see references/scouting-strategy.md)
  6. Collect results — deduplicate, merge, note gaps/timeouts
  7. Build report — fill structured template (see references/report-and-handoff.md)
  8. Execute handoff — route to next agent per handoff protocol

References

Load these only when executing the corresponding step — not upfront.

ReferenceWhen to loadWhat it contains
search-scope.mdStep 3 — applying scope rulesTier 1/2/3 directory lists, justification, exclusion patterns
scouting-strategy.mdSteps 2, 4, 5 — spawning agentsSCALE formula, directory division rules, Explore agent prompt template, parallel execution, file reading patterns
report-and-handoff.mdSteps 7, 8 — writing outputReport template with all sections, handoff protocol per phase, memory integration, context budget

Constraints

  • Read-only — scout NEVER modifies files
  • Maximum 6 parallel agents — beyond this, aggregation cost exceeds benefit
  • 3-minute timeout per agent — skip non-responders, don't retry
  • No external tool dependencies — uses only the host runtime's built-in Explore
  • Security — never access .env, credentials, or SSH keys during scouting
  • Tier 3 always excluded — no exceptions regardless of task

Gotchas

  • 6-agent cap vs 3-agent rule — parallel-execution-rules.md Rule 2 caps parallel agents at 3, but that rule governs write-capable agents (merge-conflict risk). Scout uses read-only Explore subagents which don't produce conflicts, so the 6-agent ceiling here is intentional, not a rule violation.
  • Subagents returning partial results: Context window exceeded, agent returns truncated output → Set explicit file count limits per subagent; merge results with dedup
  • Missing hidden files in directory scan: Default glob patterns skip dotfiles → Include dotfiles explicitly when scanning config directories

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