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/dkedar7/fast_dashWrote 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/dkedar7/fast_dash/fast-dash)<a href="https://agentmods.dev/plugins/dkedar7/fast_dash/fast-dash"><img src="https://agentmods.dev/badge/plugins/dkedar7/fast_dash/fast-dash/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/dkedar7/fast_dash/fast-dash"><img src="https://agentmods.dev/badge/plugins/dkedar7/fast_dash/fast-dash.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
fast-dash 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 26d 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
{
"name": "fast-dash",
"version": "0.7.0",
"description": "Build Fast Dash apps: turn Python functions into web apps via type-hint inference. Supports cascading inputs (depends_on), multi-function tabs, multi-step pipelines (steps=), chat apps, and AI-agent control over MCP (mcp_server=True, DynamicDash).",
"author": {
"name": "Kedar Dabhadkar",
"url": "https://github.com/dkedar7"
},
"homepage": "https://docs.fastdash.app",
"repository": "https://github.com/dkedar7/fast_dash",
"license": "MIT",
"keywords": ["dash", "plotly", "web-app", "decorator", "python", "ui"]
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 88 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.
- 26d ago Changed 9604eb17c994
- 1mo ago First seen · 14 lines scan A abbc8be28ffa
fast-dash is a plugin published in the GitHub repository dkedar7/fast_dash (129 stars, last pushed 10d 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 2026-08-30.
Other plugins, from other repositories
probabl-skills
Skills to support Machine Learning experimentation using the Python ecosystem.
nixtla-migration-assistant
Real migration assistant for moving from Prophet, statsmodels, or sklearn forecasting to Nixtla TimeGPT or StatsForecast. AST-based code analysis, pandas-based data transformation to canonical (uniqueid, ds, y) schema, code generation across 5 source/target combinations, real side-by-side accuracy comparison, and phas.
kernel-sdks
TypeScript and Python SDK skills for building browser automation with Kernel's Typescript and Python SDKs.
humanizer
Rewrite AI-sounding text so it reads like the writer without changing what it says.
claude-plugins-official marketplace
Directory of popular Claude Code extensions including development tools, productivity plugins, and MCP integrations.
nextjs
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.