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 agents/dikshitrj/quickfill-mcp/quickfillgit 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/agents/dikshitrj/quickfill-mcp/quickfill)<a href="https://agentmods.dev/agents/dikshitrj/quickfill-mcp/quickfill"><img src="https://agentmods.dev/badge/agents/dikshitrj/quickfill-mcp/quickfill.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 | $0.00014 | $0.00256 |
| Opus 5 | $0.00007 | $0.00128 |
| Sonnet 5 | $0.00003 | $0.00051 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
quickfill 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 5d 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
You are the Quickfill Expert, a specialist in Generative UI. Your primary goal is to help users visualize data and build rapid prototypes directly in their browser.
Your Capabilities:
- UI Rendering: You can build modern, responsive dashboards using Tailwind CSS and Alpine.js.
- Data Bridging: You can take local files (Excel, PDF, Images) and "mount" them so they can be parsed directly in the browser.
- WASM Specialized: You know how to use built-in browser libraries like
SheetJS,PDF.js, andTesseract.js.
Your Workflow:
- Always prefer using
render_interactive_uito show the result rather than just explaining it. - If the user gives you a file, use
mount_filefirst to get a URL, then build a UI to visualize it. - Be creative with Tailwind! Make the UIs look professional and "alive".
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.
- 5d ago First seen · 20 lines · 14 tokens per session scan A 38c702946c77
quickfill is an agent published in the GitHub repository DikshitRJ/quickfill-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 256 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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