Borrowing it
Nothing to install: this file belongs to mort-lab/excel-mcp. 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/mort-lab/excel-mcp/main/.claude/commands/rapid-development/experimental/hackathon-research.mdgit 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/hackathon-research)<a href="https://agentmods.dev/commands/mort-lab/excel-mcp/hackathon-research"><img src="https://agentmods.dev/badge/commands/mort-lab/excel-mcp/hackathon-research/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/mort-lab/excel-mcp/hackathon-research"><img src="https://agentmods.dev/badge/commands/mort-lab/excel-mcp/hackathon-research.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 | $0.07175 |
| Opus 5.5 | $0.00000 | $0.02870 |
| Sonnet 5.5 | $0.00000 | $0.01435 |
| Haiku 4.5 | $0.00000 | $0.00717 |
Grade A, and why
hackathon-research 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 — 984 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hackathon Multi-Option Research
Rapidly evaluate multiple solution approaches for hackathon challenges using massive parallel research (15 concurrent agents).
Problem/Challenge: $ARGUMENTS
Phase 1: Problem Analysis & Option Generation
Problem Breakdown
Analyze the challenge statement for:
- Core requirements and constraints
- Success criteria and evaluation metrics
- Available time and resources
- Technical constraints and preferences
- Target users and use cases
Solution Approach Generation
Generate 3 distinct solution approaches:
Option A: Speed-First Approach
- Philosophy: "Ship fast, iterate later"
- Strategy: Leverage existing tools, proven patterns, minimal custom code
- Target: Working prototype in minimal time
- Trade-offs: May sacrifice innovation for speed
Option B: Innovation-First Approach
- Philosophy: "Breakthrough solution with novel approach"
- Strategy: Cutting-edge tech, unique architecture, creative problem-solving
- Target: High-impact, differentiated solution
- Trade-offs: Higher risk, potentially longer development time
Option C: Balanced Approach
- Philosophy: "Solid foundation with strategic innovation"
- Strategy: Proven base with selective modern enhancements
- Target: Reliable solution with competitive advantages
- Trade-offs: Moderate risk, moderate innovation
Phase 2: Massive Parallel Research (15 Agents)
CRITICAL: Execute all 15 research agents simultaneously using multiple Agent tool calls in a single response for maximum efficiency.
OUTPUT STRUCTURE: Create separate files for organized research review:
- Individual agent outputs:
PRPs/research/{option}-agent-{id}-{area}.md - Synthesized option analysis:
PRPs/research/{option}-synthesized-output.md - Final recommendations:
PRPs/research/final-recommendations-analysis.md
IMPORTANT: Create the PRPs/research/ directory first if it doesn't exist.
Research Matrix: 5 Agents × 3 Options
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 · 984 lines · 0 tokens per session scan A f18cf3ad8843
hackathon-research is a command published in the GitHub repository mort-lab/excel-mcp (5 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 7,175 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 2026-08-31.
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