Borrowing it
Nothing to install: this file belongs to EchoingVesper/mcp-task-orchestrator. 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/EchoingVesper/mcp-task-orchestrator/main/.claude/commands/PRPs/prp-planning-create.mdgit clone --depth 1 https://github.com/EchoingVesper/mcp-task-orchestratorWrote 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/commands/echoingvesper/mcp-task-orchestrator/prp-planning-create)<a href="https://agentmods.dev/commands/echoingvesper/mcp-task-orchestrator/prp-planning-create"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/prp-planning-create/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/commands/echoingvesper/mcp-task-orchestrator/prp-planning-create"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/prp-planning-create.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 | $0.00000 | $0.02037 |
| Opus 5.5 | $0.00000 | $0.00815 |
| Sonnet 5.5 | $0.00000 | $0.00407 |
| Haiku 4.5 | $0.00000 | $0.00204 |
Grade A, and why
prp-planning-create 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 2mo 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create PLANNING PRP with Context Engineering
Transform rough ideas into comprehensive PRDs with rich visual documentation using enhanced context engineering principles and security-first design.
Idea: $ARGUMENTS
Pre-Execution Orchestrator Check
MANDATORY FIRST STEP:
# Verify orchestrator connection
claude mcp list | grep task-orchestrator || (echo "ORCHESTRATOR NOT CONNECTED - Fixing..." && claude mcp restart task-orchestrator)
# Initialize orchestrator session for planning PRP development
# Use orchestrator_initialize_session with working_directory
If orchestrator fails, STOP and spawn fix agent per CLAUDE.md protocol.
Enhanced Context References
CRITICAL: Load and reference these enhanced AI documentation files:
required_context:
- file: PRPs/ai_docs/context-engineering-guide.md
why: "Systematic context engineering principles for production-ready PRDs"
sections: ["Context Engineering Framework", "Research Methodology"]
- file: PRPs/ai_docs/mcp-protocol-patterns.md
why: "MCP server implementation patterns for planning phase"
sections: ["Core Principles", "Planning Integration"]
- file: PRPs/ai_docs/security-patterns.md
why: "Security-first design principles for feature planning"
sections: ["Threat Modeling", "Security Requirements"]
- file: CLAUDE.md
why: "Project-specific guidance and architecture constraints"
sections: ["Architecture Overview", "Clean Architecture"]
Security Considerations
All planning PRDs must include:
- Threat modeling during design phase
- Input validation requirements specification
- Authentication/authorization integration points
- Data privacy and compliance considerations
- Error handling that doesn't leak sensitive information
Enhanced Discovery Process with Orchestrator Integration
Use Orchestrator for Research Coordination:
orchestrator_tasks:
- orchestrator_plan_task: "Concept expansion and goal mapping for {idea}"
- orchestrator_plan_task: "Market analysis and competitor research"
- orchestrator_plan_task: "Technical feasibility and architecture analysis"
- orchestrator_plan_task: "Security requirements and threat modeling"
- orchestrator_get_status: Track all research progress
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.
- 2mo ago First seen · 310 lines · 0 tokens per session scan A 9ee19c2ad299
prp-planning-create is a command published in the GitHub repository EchoingVesper/mcp-task-orchestrator (28 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,037 tokens. 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 2026-08-30.
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