Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/mort-lab/excel-mcp/parallel-prp-creationgit clone --depth 1 https://github.com/mort-lab/excel-mcpWrote 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/mort-lab/excel-mcp/parallel-prp-creation)<a href="https://agentmods.dev/commands/mort-lab/excel-mcp/parallel-prp-creation"><img src="https://agentmods.dev/badge/commands/mort-lab/excel-mcp/parallel-prp-creation.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.03556 |
| Opus 5 | $0.00010 | $0.01778 |
| Sonnet 5 | $0.00004 | $0.00711 |
| Haiku 4.5 | $0.00002 | $0.00356 |
Grade A, and why
parallel-prp-creation 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 4d 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 — 580 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel PRP Creation - Multiple Implementation Strategies
Generate ARGS parallel PRP variations for comparative analysis and implementation approach validation. This command leverages multiple AI agents working simultaneously to create different implementation strategies for the same feature, enabling selection of the optimal approach.
Overview
This workflow creates NUMBER_OF_PARALLEL_PRPs independent PRP variations:
- Each agent researches the same feature from different architectural perspectives
- Each agent creates a complete PRP with distinct implementation approaches
- All agents work concurrently for maximum efficiency
- Results enable comparative analysis and strategy selection
Execution Parameters
PRP_NAME: $ARGUMENTS[0] IMPLEMENTATION_DETAILS: $ARGUMENTS[1] NUMBER_OF_PARALLEL_PRPs: $ARGUMENTS[2]
Parallel Agent Coordination
CRITICAL: Execute all agents simultaneously using multiple Task tool calls in a single response. Do not wait for one agent to complete before starting the next.
Agent Assignment Strategy
Each agent approaches the same feature with different focus areas:
Agent Specialization Matrix
Agent 1: Performance-Optimized Approach
Focus: Scalability, caching, optimization
Architecture: High-performance patterns
Validation: Load testing, performance metrics
Agent 2: Security-First Approach
Focus: Security, validation, authentication
Architecture: Defense-in-depth patterns
Validation: Security testing, penetration testing
Agent 3: Maintainability-Focused Approach
Focus: Clean code, modularity, testing
Architecture: SOLID principles, design patterns
Validation: Unit testing, code quality
Agent 4: Rapid-Development Approach
Focus: Quick implementation, minimal complexity
Architecture: Simplified patterns, frameworks
Validation: Integration testing, functionality
Agent 5: Enterprise-Grade Approach
Focus: Robustness, monitoring, observability
Architecture: Enterprise patterns, microservices
Validation: End-to-end testing, monitoring
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.
- 4d ago First seen · 580 lines · 20 tokens per session scan A 367ad845aaba
parallel-prp-creation is a command published in the GitHub repository mort-lab/excel-mcp (5 stars, last pushed 27d ago), licensed MIT. It adds 20 tokens to every session and 3,556 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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