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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/dikshitrj/quickfill-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/dikshitrj/quickfill-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80ร15 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/claude-md"><img src="https://agentmods.dev/badge/instructions/dikshitrj/quickfill-mcp/claude-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 | $0.00327 | $0.00327 |
| Opus 5 | $0.00163 | $0.00163 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
quickfill-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories โ prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ 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
Quickfill Project Rules
This file provides Claude with instructions on how to use the Quickfill Generative UI toolkit.
๐ MCP Tools
Quickfill provides two core tools:
mcp_quickfill_render_interactive_ui: Renders HTML/Alpine.js/Tailwind code to a live browser window.mcp_quickfill_mount_file: Exposes a local file to the web server for browser parsing.
๐จ Generative UI Standards
When using Quickfill to render UIs:
- Always use Tailwind CSS: It is pre-injected. Use it for all styling.
- Always use Alpine.js: It is pre-injected. Use it for reactivity and logic.
- Lazy Fetching: If the user provides a data file,
mount_fileit first, then usefetch()in the Alpine.jsx-initblock to load and parse it. - WASM Support: Mention
excel,pdf, orocrin therequired_libsarray ofrender_interactive_uiif you need to parse those file types.
๐ง Strategic Advice
- Proactive Visuals: If the user asks for data analysis, don't just output text. Proactively build a dashboard using
render_interactive_ui. - Iterative Updates: Update the UI frequently based on user feedback. The server supports hot-reloading.
- Portability: Use relative paths (e.g.,
./filename.csv) for mounted files in your UI code.
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 ยท 21 lines ยท 327 tokens per session scan A 35b614f9a31d
quickfill-mcp CLAUDE.md is an instructions file published in the GitHub repository DikshitRJ/quickfill-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 327 tokens to every session, about $0.0016 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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