Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ncssm-robotics/ftc-claudenpx agentmods add commands/ncssm-robotics/ftc-claude/startWrote 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/commands/ncssm-robotics/ftc-claude/start)<a href="https://agentmods.dev/commands/ncssm-robotics/ftc-claude/start"><img src="https://agentmods.dev/badge/commands/ncssm-robotics/ftc-claude/start/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/commands/ncssm-robotics/ftc-claude/start"><img src="https://agentmods.dev/badge/commands/ncssm-robotics/ftc-claude/start.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 | $0.00005 | $0.00541 |
| Opus 5.5 | $0.00002 | $0.00216 |
| Sonnet 5.5 | $0.00001 | $0.00108 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
start 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 2mo 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
Start Command
Starts the currently initialized OpMode.
Usage
/start
Process
When this command runs:
-
Check OpMode is initialized:
- Query dashboard for current state
- Must be in
INITstate
-
Send start command via websocket:
uv run scripts/panels_client.py startThis sends the
startActiveOpModemessage. -
Update HUD:
🤖 Connected (12.4V) │ TeleOp Main [RUNNING] │ 192.168.43.1
Expected Output
Starting OpMode...
OpMode: TeleOp Main
✓ Started
Status: TeleOp Main [RUNNING]
Use /stop to stop the OpMode
Error Handling
No OpMode Initialized
/start
✗ No OpMode initialized
Initialize an OpMode first:
/opmodes # List available OpModes
/init "TeleOp" # Initialize one
/start # Then start it
Already Running
/start
⚠ OpMode already running
Current: TeleOp Main [RUNNING]
To restart:
/stop
/init "TeleOp Main"
/start
Not Connected
/start
✗ Robot not connected
Run /connect first, then try again.
Dashboard Not Available
/start
✗ Cannot reach dashboard
OpMode control requires Panels or FTC Dashboard.
Alternative: Press the Start button on the Driver Station.
State Transitions
[INIT] → /start → [RUNNING]
The OpMode's start() method is called, then loop() begins executing.
Tips
Autonomous vs TeleOp
For Autonomous OpModes:
- The OpMode runs until completion or
/stop - Timer starts when you run
/start
For TeleOp OpModes:
- Gamepad input is active after
/start - Runs until
/stopor 2-minute timer
Quick Start Sequence
/init Auto Left
/start
Or with safety check:
/opmodes # See what's available
/init "Auto Left" # Initialize
/start # Go!
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.
- 2mo ago First seen · 134 lines · 5 tokens per session scan A b499360d2010
start is a command published in the GitHub repository ncssm-robotics/ftc-claude (5 stars, last pushed 9mo ago), licensed MIT. It adds 5 tokens to every session and 541 once invoked, about $0.0000 per session on Opus 5.5. 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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