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.
git clone --depth 1 https://github.com/goldensansapple/prompt-for-user-input-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/rules/goldensansapple/prompt-for-user-input-mcp/agent)<a href="https://agentmods.dev/rules/goldensansapple/prompt-for-user-input-mcp/agent"><img src="https://agentmods.dev/badge/rules/goldensansapple/prompt-for-user-input-mcp/agent.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 5.1 | $0.00143 | $0.00143 |
| Opus 5 | $0.00072 | $0.00072 |
| Sonnet 5 | $0.00029 | $0.00029 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
agent 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 6d 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.
What it actually says
Instructions
This project is the prompt-for-user-input-mcp project. It is an MCP server that enables AI models to prompt users for input directly through their code editor. You will also have access to this tool as an AI agent, you can still use the tool while developing because a working version of the tool is already running in the background. Part your role will be to test this tool directly. This does not mean running the MCP server, but rather using the tool as an AI agent to allow the user to test the tool manually. You can always assume the user has launched the MCP server in a separate terminal window when they ask you to test the tool.
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.
- 6d ago First seen · 7 lines · 143 tokens per session scan A 7ed947c7be1e
agent is a cursor rule published in the GitHub repository goldensansapple/prompt-for-user-input-mcp (0 stars, last pushed 10mo ago), licensed MIT. It adds 143 tokens to every session, about $0.0007 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 2026-09-01.
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