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 skills add ncssm-robotics/ftc-claude --skill ftc-dashboardgit clone --depth 1 https://github.com/ncssm-robotics/ftc-claudeWrote 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/skills/ncssm-robotics/ftc-claude/ftc-dashboard)<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.
<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>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 | $0.00060 | $0.02949 |
| Opus 5 | $0.00030 | $0.01474 |
| Sonnet 5 | $0.00012 | $0.00590 |
| Haiku 4.5 | $0.00006 | $0.00295 |
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.
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
- Add the Maven repository to
build.dependencies.gradle:
repositories {
maven { url = 'https://maven.brott.dev/' }
}
- 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'
}
- 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
}
}
}
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.
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 · 446 lines · 60 tokens per session scan A aaf54f56920d
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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