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 personamanagmentlayer/pcl --skill robotics-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/robotics-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/robotics-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/robotics-expert/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/personamanagmentlayer/pcl/robotics-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/robotics-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.01123 |
| Opus 5 | $0.00026 | $0.00562 |
| Sonnet 5 | $0.00011 | $0.00225 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
robotics-expert 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 4d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Robotics Expert
Develop production-ready robotic systems with autonomous navigation, sensor fusion, and intelligent control for real-world applications.
Learning Objectives
- Master ROS/ROS2 architecture and development
- Implement autonomous navigation and path planning
- Integrate sensors and actuators for robot control
- Build SLAM systems for mapping and localization
- Design control systems and kinematics
Prerequisites
- Strong Python and C++ programming skills
- Understanding of linear algebra and calculus
- Knowledge of control theory fundamentals
- Familiarity with Linux and embedded systems
Core Concepts
Robot Operating System (ROS/ROS2)
Middleware framework providing tools, libraries, and conventions for building robot applications. ROS2 offers improved real-time performance, security, and multi-robot support over ROS1.
SLAM (Simultaneous Localization and Mapping)
Algorithm enabling robots to build maps of unknown environments while tracking their position within those maps. Essential for autonomous navigation in dynamic environments.
Sensor Fusion
Integration of data from multiple sensors (lidar, cameras, IMU, encoders) to create reliable perception of robot's environment and state. Improves accuracy and robustness.
Motion Planning
Algorithms for computing collision-free paths from current position to goal. Includes global planning (A*, Dijkstra) and local planning (DWA, TEB) for dynamic obstacle avoidance.
Control Systems
Feedback control algorithms (PID, MPC) that translate desired robot behavior into motor commands. Ensures accurate trajectory following and stable operation.
Best Practices
ROS Development
- Use ROS2 for new projects (improved architecture)
- Follow REP guidelines for package structure
- Implement proper lifecycle management
- Use composition for node design
- Leverage quality of service (QoS) profiles
- Write comprehensive launch files
- Maintain separation between logic and ROS interfaces
What ships with it
1 file 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.
- 4d ago First seen · 185 lines · 53 tokens per session scan A 538b7ce15439
robotics-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 2d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,123 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 2026-09-05.
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