ftc-dashboard

ftc-dashboard is a skill for Claude Code, Codex from ncssm-robotics/ftc-claude. It costs 60 tokens per session (2,949 once invoked), scanned A, original, MIT.

A web dashboard for FTC robots that displays live telemetry, lets you change marked configuration values, draws on a field view, and streams camera video.

In plain words
What is it for?
Use it to graph telemetry, monitor values such as loop time and heading, draw field overlays, change @Config variables, or view a robot camera stream.
Why use it?
It gives teams a browser-based way to observe robot data and adjust selected values while the robot is running.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to graph telemetry, monitor values such as loop time and heading, draw field overlays, change @Config variables, or view a robot camera stream.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ncssm-robotics/ftc-claude/ftc-dashboard
Install

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.

Any agent
npx skills add ncssm-robotics/ftc-claude --skill ftc-dashboard
Clone the repo
git clone --depth 1 https://github.com/ncssm-robotics/ftc-claude

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin ftc-dashboard/plugin install ftc-dashboard after adding the marketplace above.

Wrote 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.

agentmods badge for ftc-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/ncssm-robotics/ftc-claude/ftc-dashboard/github.svg)](https://agentmods.dev/skills/ncssm-robotics/ftc-claude/ftc-dashboard)
Your own site
<a href="https://agentmods.dev/skills/ncssm-robotics/ftc-claude/ftc-dashboard"><img src="https://agentmods.dev/badge/skills/ncssm-robotics/ftc-claude/ftc-dashboard/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.

agentmods 80×15 button for ftc-dashboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/ncssm-robotics/ftc-claude/ftc-dashboard"><img src="https://agentmods.dev/badge/skills/ncssm-robotics/ftc-claude/ftc-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,949 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.02949
Opus 5 $0.00030 $0.01474
Sonnet 5 $0.00012 $0.00590
Haiku 4.5 $0.00006 $0.00295

Measured 9d ago against content hash aaf54f56920d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ftc-dashboard 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.

plugins/ftc-dashboard/skills/ftc-dashboard/SKILL.md · 446 lines

How it starts

The opening of the file, as written. The whole thing — 446 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FTC Dashboard

React-based web dashboard for monitoring FTC robots during operation.

Access the dashboard at: http://192.168.43.1:8080 (Control Hub) or http://192.168.49.1:8080 (phone)

Quick Start

Installation

  1. Add the Maven repository to build.dependencies.gradle:
repositories {
    maven { url = 'https://maven.brott.dev/' }
}
  1. Add the dependency:
// Standard FTC SDK
implementation 'com.acmerobotics.dashboard:dashboard:0.5.1'

// For OpenRC or non-standard SDK
implementation('com.acmerobotics.dashboard:dashboard:0.5.1') {
    exclude group: 'org.firstinspires.ftc'
}
  1. Sync Gradle and deploy to robot.

Basic Telemetry

import com.acmerobotics.dashboard.FtcDashboard;
import com.acmerobotics.dashboard.telemetry.TelemetryPacket;

@TeleOp(name = "Dashboard Demo")
public class DashboardDemo extends LinearOpMode {
    @Override
    public void runOpMode() {
        FtcDashboard dashboard = FtcDashboard.getInstance();

        waitForStart();

        while (opModeIsActive()) {
            TelemetryPacket packet = new TelemetryPacket();
            packet.put("loopTime", getRuntime());
            packet.put("heading", imu.getAngularOrientation().firstAngle);

            dashboard.sendTelemetryPacket(packet);
        }
    }
}

Features

1. Telemetry Visualization

Send key-value pairs that appear as live-updating graphs:

TelemetryPacket packet = new TelemetryPacket();

// Numeric values get plotted automatically
packet.put("voltage", batteryVoltage);
packet.put("motorPower", leftMotor.getPower());
packet.put("encoderPosition", encoder.getCurrentPosition());

// String values appear in the telemetry panel
packet.put("status", "Running");
packet.put("targetColor", "RED");

dashboard.sendTelemetryPacket(packet);

2. MultipleTelemetry (DS + Dashboard)

Send telemetry to both Driver Station and Dashboard simultaneously:

import com.acmerobotics.dashboard.telemetry.MultipleTelemetry;

@TeleOp(name = "Dual Telemetry")
public class DualTelemetryOp extends LinearOpMode {
    @Override
    public void runOpMode() {
        // Wrap both telemetry objects
        telemetry = new MultipleTelemetry(telemetry, FtcDashboard.getInstance().getTelemetry());

        waitForStart();

        while (opModeIsActive()) {
            // This now goes to BOTH DS and Dashboard
            telemetry.addData("Heading", "%.2f", imu.getAngularOrientation().firstAngle);
            telemetry.addData("Power", leftMotor.getPower());
            telemetry.update();  // Sends to both
        }
    }
}

Read the full file on GitHub · 446 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 9d ago First seen · 446 lines · 60 tokens per session scan A aaf54f56920d

Subscribe to this mod's changes

ftc-dashboard is a skill published in the GitHub repository ncssm-robotics/ftc-claude (4 stars, last pushed 7mo ago), licensed MIT. It adds 60 tokens to every session and 2,949 once invoked, about $0.0003 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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