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/pilot-datasetnpx skills add facebookresearch/projectaria-plugins --skill pilot-datasetgit 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/pilot-dataset)<a href="https://agentmods.dev/skills/facebookresearch/projectaria-plugins/pilot-dataset"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/pilot-dataset.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 | $0.00129 | $0.00791 |
| Opus 5 | $0.00064 | $0.00396 |
| Sonnet 5 | $0.00026 | $0.00158 |
| Haiku 4.5 | $0.00013 | $0.00079 |
Grade A, and why
pilot-dataset 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aria Gen2 Pilot Dataset
A multi-participant egocentric dataset collected with Aria Gen2 glasses. Includes raw sensor data, on-device perception, cloud MPS outputs, and additional offline algorithm results.
Sources of Truth
- Source code (API, data types, folder structure, CSV formats): https://github.com/facebookresearch/projectaria_gen2_pilot_dataset — if the user has cloned the repo, read the code directly. If not, fetch from GitHub or ask the user to clone it.
- Dataset overview (high-level description): https://facebookresearch.github.io/projectaria_tools/gen2/research-tools/dataset/pilot/content
- Download guide: https://facebookresearch.github.io/projectaria_tools/gen2/research-tools/dataset/pilot/download
- Dataset explorer (preview before download): https://explorer.projectaria.com/gen2pilot
- Paper: https://arxiv.org/abs/2510.16134
The source code is the authoritative source for dataset format and API. Key files in data_provider/:
aria_gen2_pilot_data_provider.py— mainAriaGen2PilotDataProviderclassaria_gen2_pilot_data_paths.py— dataset directory structure and file locationsaria_gen2_pilot_dataset_data_types.py— all data types (HeartRateData, DiarizationData, BoundingBox2D/3D, HandObjectInteractionData, etc.)- Per-algorithm providers:
heart_rate_data_provider.py,diarization_data_provider.py,hand_object_interaction_data_provider.py,stereo_depth_data_provider.py,egocentric_voxel_lifting_data_provider.py
Installation
This is a separate package from projectaria-tools and the client SDK:
python3 -m pip install 'projectaria-gen2-pilot-dataset[all]'
The [all] extra includes core data loaders, Rerun visualization tools, all dependencies, and tutorial notebooks. Verify: python3 -c "import projectaria_gen2_pilot_dataset"
Core API
The package provides a unified AriaGen2PilotDataProvider interface for loading all data layers — raw VRS, on-device perception, MPS outputs, and algorithm results. This is the main entry point for programmatic access.
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 · 52 lines · 129 tokens per session scan A fa01ee48ebd9
pilot-dataset is a skill published in the GitHub repository facebookresearch/projectaria-plugins (8 stars, last pushed 9d ago), licensed Apache-2.0. It adds 129 tokens to every session and 791 once invoked, about $0.0006 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.
Other skills, from other repositories
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for 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…
nature-statistics
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates, randomization, blinding, multiple-comparison correction, model…
evaluating-with-leakage-gates
Evaluate an OpenMed de-identification or clinical NER model against the leakage-first release gates G1a through G8, which gate releases on residual PHI leakage rather than on F1. Use when the user wants to run the OpenMed eval harness on a synthetic golden set, decide whether a de-id model is RELEASABLE or…
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…
mixed-precision
Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.