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 mpsgit 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/mps)<a href="https://agentmods.dev/skills/facebookresearch/projectaria-plugins/mps"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/mps/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/mps"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/mps.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00107 | $0.01618 |
| Opus 5.5 | $0.00043 | $0.00647 |
| Sonnet 5.5 | $0.00021 | $0.00324 |
| Haiku 4.5 | $0.00011 | $0.00162 |
Grade A, and why
mps 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Machine Perception Services (MPS)
MPS is a cloud-based post-processing service for Aria recordings. You submit VRS files via the aria_mps CLI, MPS runs proprietary Spatial AI algorithms, and you download the derived outputs (trajectories, point clouds, hand tracking). The data is only used to serve requests — not accessible to Meta researchers.
How to Use This Skill
This skill teaches concepts and capabilities. For details, use the authoritative sources:
- CLI:
aria_mps --help,aria_mps single --help,aria_mps multi --help - Data formats, coordinate conventions, CSV columns: https://facebookresearch.github.io/projectaria_tools/gen2/technical-specs/mps/data_formats
- CLI workflow details: https://facebookresearch.github.io/projectaria_tools/gen2/technical-specs/mps/mps_cli_guide
- Service versions and algorithm details: https://facebookresearch.github.io/projectaria_tools/gen2/ark/mps/mps_versioning
- Benchmarks and performance: https://facebookresearch.github.io/projectaria_tools/gen2/technical-specs/mps/benchmarks/performance
- Python API for loading results: Read
help(projectaria_tools.core.mps)orMpsPyBind.hin the cloned repo. See the projectaria-tools skill.
Installation
- Install:
pip install projectaria-mps(automatically includesprojectaria-toolsandprojectaria-vrs-health-check) - CLI command:
aria_mps - Auth: On first run, authenticate with your Project Aria account. Tokens are cached in the system keychain for subsequent runs.
- Configuration:
$HOME/.projectaria/mps.ini— concurrency, chunk sizes, retry logic. - Docs: https://facebookresearch.github.io/projectaria_tools/gen2/ark/mps/start
Capabilities Overview
Services
MPS provides three services. Services are independent — you can request any combination. VRS health check runs automatically before processing.
- SLAM: 6DoF trajectory (open-loop VIO + closed-loop bundle-adjusted, both at 1kHz), semi-dense point cloud, time-varying sensor calibration. Requires CV cameras + IMU.
- Multi-SLAM: Processes multiple recordings of the same physical space together to produce outputs in a shared coordinate frame. Use when you need spatially aligned trajectories and point clouds across devices.
- Hand Tracking: 21 hand landmark positions, 6DoF hand-to-device transform, wrist and palm normals, per-frame confidence. Requires CV cameras ≥10fps + IMU.
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 · 97 lines · 107 tokens per session scan A 618ccca39c1f
mps is a skill published in the GitHub repository facebookresearch/projectaria-plugins (14 stars, last pushed 6d ago), licensed Apache-2.0. It adds 107 tokens to every session and 1,618 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.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
presenting-conference-talks
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.