AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
日本語の概要は準備中です。原文の説明を表示しています。
Fast codebase scouting using shell search and optional parallel research agents. Use for file discovery, task context gathering, and quick scoped searches across directories.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Fast, token-efficient codebase scouting using parallel agents to find files needed for tasks.
research-agent delegation (./references/internal-scouting.md)ext: Scout using external Gemini/OpenCode CLI tools in parallel (./references/external-scouting.md)research-agent workers with divided directories when the search space is largeRead from .claude/.vc.json (falls back to legacy .claude/.ck.json if present):
gemini.model - Gemini model (default: gemini-3-flash-preview)references/task-management-scouting.md only when you are intentionally coordinating a larger parallel scout workflowLoad appropriate reference based on decision tree:
references/internal-scouting.md (shell search plus optional research-agent parallelism)references/external-scouting.md (Gemini/OpenCode)Notes:
TaskUpdate each task to in_progress before spawning its agent (skip if Task tools unavailable)TaskUpdate completed tasks; log timed-out agents in report (skip if Task tools unavailable)# Scout Report
## Relevant Files
- `path/to/file.ts` - Brief description
- ...
## Unresolved Questions
- Any gaps in findings
references/internal-scouting.md - Using shell search and optional parallel research-agent workreferences/external-scouting.md - Using Gemini/OpenCode CLIreferences/task-management-scouting.md - Optional task-registration patterns for larger scout coordinationまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate 4 execution strategies (sequential, parallel-subagents, workflow, agent-team) for a phase or fan-out task. Outputs 7-signal score table, agent count math, cost guards, and strategy recommendation.
日本語の概要は準備中です。原文の説明を表示しています。
Audit project context routing, shared-skill discoverability, and Claude/Codex wiring. Use when context docs or skill surfaces move, split, or drift.
日本語の概要は準備中です。原文の説明を表示しています。
Audit active project plan files for staleness, completion, and routing truth. Use when cleaning up plans, reconciling active work, or archiving completed artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Audit agent harness health: Claude/Codex agent parity, skill registry consistency, README.md sync, and protocol file wiring. Use when agents, skills, README.md, or development-protocol files move, split, or drift.
日本語の概要は準備中です。原文の説明を表示しています。
Emit and validate the provisional goal block for Autopilot Mode. Owns the 9-field format and resume detection from a pasted goal block.
日本語の概要は準備中です。原文の説明を表示しています。