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 agentmods add skills/ncssm-robotics/ftc-claude/decodenpx skills add ncssm-robotics/ftc-claude --skill decodegit 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/decode)<a href="https://agentmods.dev/skills/ncssm-robotics/ftc-claude/decode"><img src="https://agentmods.dev/badge/skills/ncssm-robotics/ftc-claude/decode.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.01180 |
| Opus 5 | $0.00017 | $0.00590 |
| Sonnet 5 | $0.00007 | $0.00236 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
decode 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 5d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DECODE 2025-2026 FTC Game
DECODE presented by RTX is the 2025-2026 FIRST Tech Challenge game where teams collect, classify, and score artifacts to unlock patterns and motifs.
Quick Start
| Element | Description |
|---|---|
| Artifacts | Ball-shaped game pieces (Purple and Green) |
| Control Limit | Maximum 3 artifacts at a time |
| Cycle | Collect → Classify/Score → Repeat |
| Field | 144" × 144" (12ft × 12ft) |
Match Structure
| Period | Duration | Notes |
|---|---|---|
| Autonomous | 30 seconds | Pre-programmed robot actions |
| Driver-Controlled | 2 minutes | Manual control with gamepad |
| End Game | Last 30 seconds | Bonus scoring opportunities |
Field Layout (Pedro Coordinates)
Y = 144" (back wall)
┌────────────────────────────────────┐
│ │
│ [GOALS] [GOALS] │
│ │
│ ┌─────────┐ │
│ │CLASSIFIER │
│ └─────────┘ │
│ │
│ [ARTIFACTS] │
│ │
│ ┌──────┐ ┌──────┐ │
│ │ RED │ │ BLUE │ │
│ │START │ │START │ │
│ └──────┘ └──────┘ │
└────────────────────────────────────┘
Y = 0" (audience wall)
X = 0" X = 144"
Key Positions (Pedro Coordinates)
See FIELD_POSITIONS.md for complete coordinates.
| Location | X (in) | Y (in) | Heading (°) |
|---|---|---|---|
| Red Start | 7 | 7 | 0 |
| Blue Start | 137 | 7 | 180 |
| Classifier | 24 | 72 | 90 |
Robot Mechanisms
Based on game strategy:
- Intake - Collect artifacts from field
- Indexer - Hold up to 3 artifacts, feed to shooter
- Shooter - Flywheel + turret + hood for launching
- Vision - Limelight 3A for target tracking
What ships with it
6 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.
- 5d ago First seen · 150 lines · 34 tokens per session scan A e9ab0fd43657
decode is a skill published in the GitHub repository ncssm-robotics/ftc-claude (4 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 1,180 once invoked, about $0.0002 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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