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 roadrunnergit 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/roadrunner)<a href="https://agentmods.dev/skills/ncssm-robotics/ftc-claude/roadrunner"><img src="https://agentmods.dev/badge/skills/ncssm-robotics/ftc-claude/roadrunner/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/roadrunner"><img src="https://agentmods.dev/badge/skills/ncssm-robotics/ftc-claude/roadrunner.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 | $0.00068 | $0.02594 |
| Opus 5 | $0.00034 | $0.01297 |
| Sonnet 5 | $0.00014 | $0.00519 |
| Haiku 4.5 | $0.00007 | $0.00259 |
Grade A, and why
roadrunner 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 8d 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 — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RoadRunner Path Planning
RoadRunner is a motion planning library for FTC that provides trajectory following, feedforward control, and advanced path building. Version 1.0 introduced a new Actions-based API for composing autonomous routines.
Quick Start
Option 1: Quickstart Project (Recommended)
Clone the pre-configured project:
git clone https://github.com/acmerobotics/road-runner-quickstart.git
Option 2: Add to Existing Project
Add to TeamCode/build.gradle:
repositories {
maven {
url = 'https://maven.brott.dev/'
}
}
dependencies {
implementation "com.acmerobotics.roadrunner:ftc:0.1.25"
implementation "com.acmerobotics.roadrunner:core:1.0.1"
implementation "com.acmerobotics.roadrunner:actions:1.0.1"
implementation "com.acmerobotics.dashboard:dashboard:0.5.1"
}
Then copy the tuning OpModes from the quickstart's TeamCode/src/main/java/org/firstinspires/ftc/teamcode folder (including messages and tuning subdirectories).
Basic Autonomous
@Autonomous(name = "Basic Auto")
public class BasicAuto extends LinearOpMode {
@Override
public void runOpMode() {
MecanumDrive drive = new MecanumDrive(hardwareMap, new Pose2d(0, 0, 0));
Action trajectory = drive.actionBuilder(new Pose2d(0, 0, 0))
.lineToX(48)
.turn(Math.PI / 2)
.lineToY(48)
.build();
waitForStart();
Actions.runBlocking(trajectory);
}
}
Key Concepts
| Term | Description |
|---|---|
| Action | Smallest unit of robot behavior. Returns true while running, false when complete |
| Trajectory | A planned path with motion profile (velocity/acceleration constraints) |
| Pose2d | Robot position and heading: new Pose2d(x, y, heading) |
| Vector2d | 2D position without heading: new Vector2d(x, y) |
| Feedforward | Open-loop motor control using kS, kV, kA constants |
| inPerTick | Encoder conversion factor: inches traveled per encoder tick |
| trackWidthTicks | Distance between drive wheels in encoder ticks |
What ships with it
2 files 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.
- 8d ago First seen · 371 lines · 68 tokens per session scan A 04d054b4299a
roadrunner is a skill published in the GitHub repository ncssm-robotics/ftc-claude (4 stars, last pushed 7mo ago), licensed MIT. It adds 68 tokens to every session and 2,594 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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