perception

perception is a skill for Claude Code, Codex from terrense/ros2-multimodal-robot-collab. It costs 32 tokens per session (251 once invoked), scanned A, original, MIT.

A set of robot-collaboration checks and commands for recognizing tools, verifying an operator’s identity, and interpreting hand gestures from sensor data. ROS2 is software used to build and control robots.

In plain words
What is it for?
Use it to detect tools, confirm who is operating the robot, map gestures to start, pause, or stop commands, and reject unsafe or uncertain actions.
Why use it?
It helps robot missions use current sensor information and adds safety checks before actions such as picking up an object or responding to a stop gesture.

Skill for Claude CodeCodex

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

Good fit Use it to detect tools, confirm who is operating the robot, map gestures to start, pause, or stop commands, and reject unsafe or uncertain actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/terrense/ros2-multimodal-robot-collab/perception
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 terrense/ros2-multimodal-robot-collab --skill perception
Clone the repo
git clone --depth 1 https://github.com/terrense/ros2-multimodal-robot-collab

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 perception

README.md
[![agentmods](https://agentmods.dev/badge/skills/terrense/ros2-multimodal-robot-collab/perception/github.svg)](https://agentmods.dev/skills/terrense/ros2-multimodal-robot-collab/perception)
Your own site
<a href="https://agentmods.dev/skills/terrense/ros2-multimodal-robot-collab/perception"><img src="https://agentmods.dev/badge/skills/terrense/ros2-multimodal-robot-collab/perception/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.

agentmods 80×15 button for perception

Your own site · 80×15
<a href="https://agentmods.dev/skills/terrense/ros2-multimodal-robot-collab/perception"><img src="https://agentmods.dev/badge/skills/terrense/ros2-multimodal-robot-collab/perception.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 251 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00032 $0.00251
Opus 5 $0.00016 $0.00125
Sonnet 5 $0.00006 $0.00050
Haiku 4.5 $0.00003 $0.00025

Measured 9d ago against content hash 99c38fd05c24, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

perception 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.

skills/perception/SKILL.md · 30 lines

What it actually says

Perception Skill

Use perception topics and actions to ground plans in current sensor data.

APIs:

  • Tool detections: /perception/tool_detections, robot_collab_interfaces/msg/ToolDetection
  • Identity verification: /skills/verify_operator, robot_collab_interfaces/action/VerifyOperator
  • Gesture command stream: /hri/gesture_command, robot_collab_interfaces/msg/GestureCommand
  • YOLOv8 detector adapter: yolov8_tool_detector_node
  • OpenPose gesture adapter: openpose_gesture_node

Gesture mapping:

  • fist -> arm_pause
  • palm -> system_stop
  • thumb_up -> arm_start

Planner rules:

  • Require confidence above the configured threshold before sending a pick request.
  • If multiple tool candidates are present, choose the one closest to the requested station or ask HRI for clarification.
  • If identity verification fails, stop the mission and announce the rejection.
  • Treat system_stop as a safety-critical command.
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. 9d ago First seen · 30 lines · 32 tokens per session scan A 99c38fd05c24

Subscribe to this mod's changes

perception is a skill published in the GitHub repository terrense/ros2-multimodal-robot-collab (111 stars, last pushed 15d ago), licensed MIT. It adds 32 tokens to every session and 251 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 2026-08-30.

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