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-base-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-base-create)<a href="https://agentmods.dev/commands/echoingvesper/mcp-task-orchestrator/prp-base-create"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/prp-base-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-base-create"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/prp-base-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 | $0.01600 |
| Opus 5.5 | $0.00000 | $0.00640 |
| Sonnet 5.5 | $0.00000 | $0.00320 |
| Haiku 4.5 | $0.00000 | $0.00160 |
Grade A, and why
prp-base-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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Enhanced BASE PRP with Context Engineering
Feature: $ARGUMENTS
Generate a complete PRP using enhanced context engineering principles for feature implementation with security-first design and comprehensive validation. Ensure rich, systematic context is passed to enable production-ready code generation on the first pass.
The AI agent only gets the context you are appending to the PRP and its own training data. Assume the AI agent has access to the codebase and the same knowledge cutoff as you, so its important that your research findings are included or referenced in the PRP. The Agent has Websearch capabilities, so pass urls to documentation and examples.
Orchestrator Integration Check
MANDATORY FIRST STEP:
# Verify orchestrator is connected
claude mcp list | grep task-orchestrator || (echo "ORCHESTRATOR NOT CONNECTED - Fixing..." && claude mcp restart task-orchestrator)
# Initialize orchestrator session for PRP development
# Use orchestrator_initialize_session with working_directory
If orchestrator fails, STOP and spawn fix agent per CLAUDE.md protocol.
Research Process
During the research process, create clear tasks and spawn as many agents and subagents as needed using the batch tools. The deeper research we do here the better the PRP will be. we optminize for chance of success and not for speed.
Use Orchestrator for Research Coordination:
orchestrator_tasks:
- orchestrator_plan_task: "Research existing patterns for {feature}"
- orchestrator_plan_task: "External documentation research"
- orchestrator_plan_task: "Security requirements analysis"
- orchestrator_get_status: Track all research progress
- Codebase Analysis in depth
- Create clear todos and spawn subagents to search the codebase for similar features/patterns Think hard and plan your approach
- Identify all the necessary files to reference in the PRP
- Note all existing conventions to follow
- Check existing test patterns for validation approach
- Use the batch tools to spawn subagents to search the codebase for similar features/patterns
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 · 183 lines · 0 tokens per session scan A 2283946f76b3
prp-base-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 1,600 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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