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/facebookresearch/projectaria-plugins/client-sdk-ros2-integrationnpx skills add facebookresearch/projectaria-plugins --skill client-sdk-ros2-integrationgit clone --depth 1 https://github.com/facebookresearch/projectaria-pluginsWrote 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/facebookresearch/projectaria-plugins/client-sdk-ros2-integration)<a href="https://agentmods.dev/skills/facebookresearch/projectaria-plugins/client-sdk-ros2-integration"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/client-sdk-ros2-integration.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 | $0.00103 | $0.01380 |
| Opus 5 | $0.00051 | $0.00690 |
| Sonnet 5 | $0.00021 | $0.00276 |
| Haiku 4.5 | $0.00010 | $0.00138 |
Grade A, and why
client-sdk-ros2-integration 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aria + ROS2 Integration
The Client SDK ships an example ROS2 publisher / subscriber pair that streams raw Aria sensor data through ROS2 topics. Sensor messages stay in FlatBuffer format end-to-end — a thin custom message type (AriaRaw) carries them on the wire, and the SDK's data converter decodes them in the subscriber.
Reference + full code walkthrough: https://facebookresearch.github.io/projectaria_tools/gen2/ark/client-sdk/python-sdk/ros2-example
Why a custom message type
Aria streams data in FlatBuffer format. Re-encoding into standard sensor_msgs/* types would:
- Lose timing precision — nanosecond timestamps survive better in raw bytes.
- Force one publisher per sensor type — Aria has many sensors, that's a lot of plumbing.
- Break when new sensor types are added.
So the example uses one AriaRaw topic for all sensors, carrying:
int64 id # SDK message type ID (indicates which sensor / message type)
uint8[] payload # raw FlatBuffer bytes
The subscriber uses aria.oss_data_converter.OssDataConverter to decode each payload into a typed Python object (NumPy image, IMU struct, eye-gaze object, etc.) based on the id.
Critical constraint: the custom-message package MUST be named aria_data_types
Both example files import:
from aria_data_types.msg import AriaRaw
Any other package name fails with ImportError. The aria_data_types package contains only the AriaRaw.msg definition.
Prerequisites
- Client SDK installed in a virtual environment (see the
client-sdkskill). - Device authenticated:
aria_gen2 auth pair. - ROS2 (Humble or later) installed, with a workspace (e.g.
~/ros2_ws). - C++ compiler for building the custom message package.
Workflow
1. Extract SDK samples python3 -m aria.extract_sdk_samples --out ~/Downloads
→ yields AriaRaw.msg, ros2_publisher_example.py,
ros2_subscriber_example.py
2. Create C++ package aria_data_types (with AriaRaw.msg)
— follow the standard ROS2 custom-message tutorial
3. Create Python package e.g. py_pubsub (publisher + subscriber nodes)
4. Copy example code ros2_publisher_example.py → publisher_member_function.py
ros2_subscriber_example.py → subscriber_member_function.py
5. Add to py_pubsub/package.xml:
<exec_depend>aria_data_types</exec_depend>
6. BUILD aria_data_types FIRST, then py_pubsub:
colcon build --packages-select py_pubsub
7. In BOTH terminals: export the same ROS_DOMAIN_ID
export ROS_DOMAIN_ID=0
8. Terminal A: ros2 run py_pubsub talker (publisher — connects to device)
Terminal B: ros2 run py_pubsub listener (subscriber)
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 · 110 lines · 103 tokens per session scan A c91dddccb0f7
client-sdk-ros2-integration is a skill published in the GitHub repository facebookresearch/projectaria-plugins (9 stars, last pushed today), licensed Apache-2.0. It adds 103 tokens to every session and 1,380 once invoked, about $0.0005 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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