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 facebookresearch/projectaria-plugins --skill projectaria-toolsgit 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/projectaria-tools)<a href="https://agentmods.dev/skills/facebookresearch/projectaria-plugins/projectaria-tools"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/projectaria-tools/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/facebookresearch/projectaria-plugins/projectaria-tools"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/projectaria-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 YARA Match · line 41 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00089 | $0.03563 |
| Opus 5.5 | $0.00036 | $0.01425 |
| Sonnet 5.5 | $0.00018 | $0.00713 |
| Haiku 4.5 | $0.00009 | $0.00356 |
Grade A, and why
projectaria-tools 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 1mo 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ProjectAriaTools (PAT)
PAT is the foundational open-source library for accessing and processing data recorded by Project Aria glasses. It provides Python and C++ interfaces for loading VRS files, accessing calibration, processing sensor data, loading MPS results, and visualizing Aria data.
How to Use This Skill
This skill is a navigation map — it tells you where the key APIs and source files are, what the gotchas are, and where to find the truth. Never guess API names from this skill alone. Read the source file it points to before writing any API call.
- For CLI flags, run
--helpinstead of guessing from this skill. - For API details, read the relevant Python module or C++ pybind header.
Installation & Documentation
-
GitHub: https://github.com/facebookresearch/projectaria_tools
-
Docs: https://facebookresearch.github.io/projectaria_tools/gen2/research-tools/projectariatools/overview
-
Install (pip in a virtual environment):
python3 -m venv $HOME/projectaria_gen2_python_env source $HOME/projectaria_gen2_python_env/bin/activate python3 -m pip install 'projectaria-tools[all]' -
Supported: Linux x64 (Ubuntu/Fedora), macOS Apple Silicon (M1+). Python 3.9–3.12.
-
Build from source: See
CMakeLists.txtat repo root and the Advanced Installation docs.
Key Source Paths
After cloning the repo, these are the source-of-truth files for API details:
| What | Path |
|---|---|
| C++ pybind: VrsDataProvider API | core/python/VrsDataProviderPyBind.h |
| C++ pybind: SensorData accessors | core/python/SensorDataPyBind.h |
| C++ pybind: Calibration | core/python/DeviceCalibrationPyBind.h |
| C++ pybind: MPS data | core/python/MpsPyBind.h |
| C++ pybind: SE3/Sophus | core/python/sophus/ |
| MPS types (eye gaze, hand, trajectory) | core/mps/ |
| TimeDomain enum | core/data_provider/TimeTypes.h |
| Python package (pip-installed API) | projectaria_tools/core/ |
| Visualization tools | projectaria_tools/tools/ |
| Gen2 tutorials | examples/Gen2/python_notebooks/ |
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.
- 1mo ago First seen · 283 lines · 89 tokens per session scan A 4f88aa78388f
projectaria-tools is a skill published in the GitHub repository facebookresearch/projectaria-plugins (14 stars, last pushed 6d ago), licensed Apache-2.0. It adds 89 tokens to every session and 3,563 once invoked, about $0.0004 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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