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/celineycn/quantdata-pluginWrote 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/plugins/celineycn/quantdata-plugin/quantdata)<a href="https://agentmods.dev/plugins/celineycn/quantdata-plugin/quantdata"><img src="https://agentmods.dev/badge/plugins/celineycn/quantdata-plugin/quantdata/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/plugins/celineycn/quantdata-plugin/quantdata"><img src="https://agentmods.dev/badge/plugins/celineycn/quantdata-plugin/quantdata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
quantdata 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 1mo 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
{
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json",
"name": "quantdata",
"displayName": "Quant Data",
"version": "1.11.0",
"description": "Measured market statistics for equities, index futures and options positioning: rolling Brooks price-action events with pre-registered outcome rates and a calibrated breakout estimate, a calibrated five-class day-type probability read for the US day session, a plain-arithmetic description of the shape the bars already printed, Weis volume-price wave events with pre-registered win rates, options max pain computed from open interest alone, and estimated dealer gamma exposure. A free key emailed on request gives all four endpoints ten shared calls a day, so the skills return real output before anyone pays. Reports honest numbers with their baselines and refuses to turn them into trading advice.",
"author": {
"name": "Celine Yu",
"email": "[email protected]",
"url": "https://quantdata.uk"
},
"homepage": "https://quantdata.uk/skills",
"repository": "https://github.com/celineycn/quantdata-plugin",
"license": "MIT",
"keywords": [
"market-data",
"futures",
"options",
"statistics",
"price-action",
"volume-analysis",
"max-pain",
"gamma-exposure",
"finance"
],
"mcpServers": {
"quantdata": {
"command": "python3",
"args": [
"${CLAUDE_PLUGIN_ROOT}/../mcp/server.py"
]
}
}
}
What it installs
The manifest is a name and a version. 3 skills travel with it, and installing the plugin installs all of them — 421 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 1mo ago First seen · 35 lines scan A 26815b477b81
quantdata is a plugin published in the GitHub repository celineycn/quantdata-plugin (1 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
tasty
TastyTrade brokerage integration for account management and trading.
kalshi-trader
AI-assisted research and trading workflow for Kalshi prediction markets. Includes commands for opportunity scanning, deep research, critical analysis, scoring, and position management.
humanizer
Rewrite AI-sounding text so it reads like the writer without changing what it says.
nextjs
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.
themes-example
themes-example. An open-source AI agent that brings the power of Gemini directly into your terminal.
claude-plugins-official marketplace
Directory of popular Claude Code extensions including development tools, productivity plugins, and MCP integrations.