j501-viola-fruit-sorting

j501-viola-fruit-sorting is a skill for Claude Code, Codex from Seeed-Projects/Seeed-Jetson-DevelopTool. It costs 69 tokens per session (2,148 once invoked), scanned B, original, MIT.

A step-by-step guide for building a fruit-sorting robot with a J501 Mini computer, StarAI Viola and Violin robotic arms, cameras, and the LeRobot software framework.

In plain words
What is it for?
Use it to install the required software, calibrate and operate the arms, collect camera and motion data, train an ACT policy, and deploy it for sorting fruit.
Why use it?
It organizes the hardware setup and machine-learning workflow into phases, making it easier to move from calibration and remote control to trained autonomous sorting.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to install the required software, calibrate and operate the arms, collect camera and motion data, train an ACT policy, and deploy it for sorting fruit.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seeed-projects/seeed-jetson-developtool/j501-viola-fruit-sorting
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 Seeed-Projects/Seeed-Jetson-DevelopTool --skill j501-viola-fruit-sorting
Clone the repo
git clone --depth 1 https://github.com/Seeed-Projects/Seeed-Jetson-DevelopTool

Made for: Claude Code, Codex.

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 j501-viola-fruit-sorting

README.md
[![agentmods](https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/j501-viola-fruit-sorting.svg)](https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/j501-viola-fruit-sorting)
Your own site
<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/j501-viola-fruit-sorting"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/j501-viola-fruit-sorting.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,148 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 37
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 248
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Privilege Escalation · line 85
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 104
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 104
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 248
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 248
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
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 $0.00069 $0.02148
Opus 5 $0.00034 $0.01074
Sonnet 5 $0.00014 $0.00430
Haiku 4.5 $0.00007 $0.00215

Measured 8d ago against content hash 4b8c9e94cb82, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

j501-viola-fruit-sorting scanned grade B with 2 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt remove brltty

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh
seeed_jetson_develop/skills/openclaw/j501-viola-fruit-sorting/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fruit Sorting with J501 Mini and StarAI Viola Arm


Execution model

Run one phase at a time. After each phase:

  • Relay all command output to the user.
  • If output contains [STOP] → stop immediately, consult the failure decision tree below.
  • If output ends with [OK] → tell the user "Phase N complete" and proceed to the next phase.

Prerequisites

Requirement Details
Compute J501 Mini with Jetson AGX Orin module, JetPack 6.2.1
Arms StarAI Viola follower (6+1 DoF) + StarAI Violin leader (6+1 DoF)
Cameras 2× USB cameras (640×480 @ 30fps, MJPG) — wrist + front
Power 12V 10A for each arm
Accessories UC-01 debugging boards (×2), USB cables, fruits for sorting

Phase 1 — Install software environment (~15–30 min)

Install Miniconda:

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh
chmod +x Miniconda3-latest-Linux-aarch64.sh
./Miniconda3-latest-Linux-aarch64.sh
source ~/.bashrc

Create LeRobot environment:

conda create -y -n lerobot python=3.10 && conda activate lerobot
git clone https://github.com/Seeed-Projects/lerobot.git ~/lerobot
cd ~/lerobot
conda install ffmpeg -c conda-forge

Install PyTorch GPU version for Jetson following: https://github.com/Seeed-Projects/reComputer-Jetson-for-Beginners/tree/main/3-Basic-Tools-and-Getting-Started/3.5-Pytorch

Then install LeRobot and fix dependencies for JetPack 6.0+:

cd ~/lerobot && pip install -e .

conda install -y -c conda-forge "opencv>=4.10.0.84"
conda remove opencv
pip3 install opencv-python==4.10.0.84
conda install -y -c conda-forge ffmpeg
conda uninstall numpy
pip3 install numpy==1.26.0

Install StarAI motor dependencies:

pip install lerobot_teleoperator_bimanual_leader
pip install lerobot_robot_bimanual_follower

Verify PyTorch GPU:

import torch
print(torch.cuda.is_available())  # Must print True

If False, reinstall PyTorch GPU version per the Jetson tutorial above.

Read the full file on GitHub · 262 lines

Files

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.

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. 8d ago First seen · 262 lines · 69 tokens per session scan B 4b8c9e94cb82

Subscribe to this mod's changes

j501-viola-fruit-sorting is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 2,148 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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