Borrowing it
Nothing to install: this file belongs to DikshitRJ/quickfill-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/DikshitRJ/quickfill-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/DikshitRJ/quickfill-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/instructions/dikshitrj/quickfill-mcp/agents-md)<a href="https://agentmods.dev/instructions/dikshitrj/quickfill-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/dikshitrj/quickfill-mcp/agents-md/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/instructions/dikshitrj/quickfill-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/dikshitrj/quickfill-mcp/agents-md.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 | $0.00437 | $0.00437 |
| Opus 5 | $0.00218 | $0.00218 |
| Sonnet 5 | $0.00087 | $0.00087 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
quickfill-mcp AGENTS.md 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 9d 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
🤖 Agent Guidelines for Quickfill
This document provides instructions for AI Agents (like Claude, GPT-4, etc.) on how to effectively use the Quickfill MCP server to provide the best user experience.
🧠 Core Philosophy
Quickfill is a Generative UI toolkit. Instead of writing code for the user to copy-paste, you should use the tools to build and show the interface directly.
🛠 Tool Usage Patterns
1. The Data-to-UI Pattern
When a user provides a data file (Excel, CSV, PDF):
- Use
mount_fileto get a browser-accessible URL for the file. - Generate an Alpine.js dashboard that
fetch()es that URL. - Use
render_interactive_uito display the dashboard.
2. The Iterative Design Pattern
Don't try to build the perfect UI in one go.
- Start with a basic layout using
render_interactive_ui. - Ask the user for feedback.
- Update specific sections of the
html_bodyin subsequent calls torender_interactive_uito "hot-reload" the changes.
🎨 Design System: Tailwind CSS
Always use Tailwind CSS classes for styling. It is pre-injected into every Quickfill session.
- Responsive: Use
md:,lg:classes to ensure the UI looks good in different window sizes. - Dark Mode: Quickfill supports standard Tailwind dark mode patterns.
⚡ Interactivity: Alpine.js
Use Alpine.js for logic. It is pre-injected and lightweight.
- Use
x-datafor state. - Use
x-onor@for events. - Use
x-initto trigger data fetching from mounted files.
📦 External Libraries
Only use these if requested by the tool call:
- excel: Provides
XLSX(SheetJS) for parsing spreadsheets. - pdf: Provides
pdfjsLibfor rendering PDFs. - ocr: Provides
Tesseractfor optical character recognition.
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.
- 9d ago First seen · 38 lines · 437 tokens per session scan A 2152d7c081b5
quickfill-mcp AGENTS.md is an instructions file published in the GitHub repository DikshitRJ/quickfill-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 437 tokens to every session, about $0.0022 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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