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 aria-knowledgegit 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/aria-knowledge)<a href="https://agentmods.dev/skills/facebookresearch/projectaria-plugins/aria-knowledge"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/aria-knowledge/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/aria-knowledge"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/aria-knowledge.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 | $0.00234 | $0.05184 |
| Opus 5.5 | $0.00094 | $0.02074 |
| Sonnet 5.5 | $0.00047 | $0.01037 |
| Haiku 4.5 | $0.00023 | $0.00518 |
Grade A, and why
aria-knowledge 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 — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aria Knowledge
This skill is the knowledge index for Project Aria Gen 2 and the Aria Research Kit (ARK). It encodes the high-level concepts that are stable across releases, and for specifics that drift (sensor specs, CSV column lists, exact API signatures, CLI flags) it tells you where the source-of-truth lives so you can fetch a current answer rather than guess.
How to use this skill
Question type → Action
─────────────────────────────────────────────────────────────────────────
What is X? / How does Y work? → Answer from this skill
Specific numeric value / schema → Read the public doc page this skill
names (under `DOCS_BASE` below)
Exact API call / API signature → Read the code (see corresponding
skill for header locations)
Exact CLI flag → Run `<cmd> --help`
Hands-on workflow → Defer to the matching plugin skill
(listed at the end of each section)
Source-of-truth rule. Anything that may change with a release — sample rates, profile JSON, stream IDs, calibration model parameters, MPS service versions, API names, CSV columns — lives in the docs or the source code. This skill repeats only the conceptual definitions that are unlikely to evolve.
Where to look (source-of-truth map)
| Source | URL |
|---|---|
DOCS_BASE — Aria Gen 2 public docs |
https://facebookresearch.github.io/projectaria_tools/gen2 |
| Open-source PAT library | https://github.com/facebookresearch/projectaria_tools |
| VRS file-format library | https://github.com/facebookresearch/vrs |
| Project Aria home | https://www.projectaria.com/ |
Throughout this skill, paths like /technical-specs/device/als are relative to DOCS_BASE — prepend the base to construct a fetchable URL. The four top-level sections of the public docs site:
| Section | Covers |
|---|---|
/ (root) |
Welcome / Gen 2 platform overview |
/ark/... |
Aria Research Kit user docs (devices, recording, streaming, MPS, companion app, support) |
/research-tools/... |
Open Science Initiative, projectaria-tools (PAT), open datasets, pre-trained models |
/technical-specs/... |
Hardware specs, profiles, calibration, VRS format, MPS data formats, coordinate systems, client SDK reference |
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 · 420 lines · 234 tokens per session scan A b1ebcabca63f
aria-knowledge is a skill published in the GitHub repository facebookresearch/projectaria-plugins (14 stars, last pushed 6d ago), licensed Apache-2.0. It adds 234 tokens to every session and 5,184 once invoked, about $0.0009 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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