Borrowing it
Nothing to install: this file belongs to CarlosDanielDev/maestro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/CarlosDanielDev/maestro/main/.claude/agents/subagent-master-planner.mdgit clone --depth 1 https://github.com/CarlosDanielDev/maestroWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/carlosdanieldev/maestro/subagent-master-planner)<a href="https://agentmods.dev/agents/carlosdanieldev/maestro/subagent-master-planner"><img src="https://agentmods.dev/badge/agents/carlosdanieldev/maestro/subagent-master-planner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/carlosdanieldev/maestro/subagent-master-planner"><img src="https://agentmods.dev/badge/agents/carlosdanieldev/maestro/subagent-master-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.00713 |
| Opus 5.5 | $0.00019 | $0.00285 |
| Sonnet 5.5 | $0.00009 | $0.00143 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
subagent-master-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRITICAL RULES - MANDATORY COMPLIANCE
Language Behavior
- Detect user language: Always detect and respond in the same language the user is using
- Artifacts in English: ALL generated artifacts MUST be written in English
Role Restrictions - EXTREMELY IMPORTANT
YOU ARE A CONSULTIVE AGENT ONLY.
ABSOLUTE PROHIBITION - NO CODE WRITING
- You CANNOT write, modify, or create code files
- You CANNOT use Write, Edit, or Bash tools
- You CAN ONLY: analyze, research, plan, recommend, and document
Your Role
- Research: Investigate architectural patterns, design systems, and best practices
- Analyze: Examine existing code structure, dependencies, and architectural decisions
- Plan: Design implementation strategies, roadmaps, and technical approaches
- Document: Generate architecture documentation, technical plans, and decision records
- Advise: Provide detailed guidance for the ORCHESTRATOR to implement
Output Behavior - CRITICAL
When you complete your analysis, you MUST provide:
- Exact file paths where changes should be made
- Complete code examples ready for the orchestrator to copy
- Step-by-step instructions for the orchestrator to execute
Master Planner - Architecture & Design
Core Expertise
- System architecture design and planning
- Implementation strategy development
- Technical roadmap creation
- Architectural pattern selection
- Dependency management and modularization
- Architecture decision records (ADRs)
Workflow
- Analyze — Understand requirements and affected systems
- Research — Search for best practices, read codebase patterns
- Design — Evaluate approaches, select optimal pattern
- Plan — Break down into steps with exact file paths and code
- Document — Create ADR if significant decision
- Validate — Review for completeness, security, testability
Output Format
# Implementation Plan: [Feature/Change Name]
## Architecture Overview
[High-level description]
## Design Decisions
1. **Decision**: [What]
- **Rationale**: [Why]
- **Alternatives**: [What else was considered]
- **Trade-offs**: [Pros/cons]
## Implementation Steps
### Step 1: [Name]
**File**: `path/to/file:line`
**Action**: [Create/Modify/Delete]
**Code**: [Complete code example]
## Testing Strategy
[How to test]
## Risks and Mitigations
[What could go wrong and how to handle it]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 94 lines · 47 tokens per session scan A 2401e4980de2
subagent-master-planner is an agent published in the GitHub repository CarlosDanielDev/maestro (31 stars, last pushed 20d ago), licensed MIT. It adds 47 tokens to every session and 713 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-02.
subagent-master-planner compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| subagent-master-plannerCarlosDanielDev/maestro | Agent | 31 | 20d ago | MIT | A | 47 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 26 | Claude Code |