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/custom-profilenpx skills add facebookresearch/projectaria-plugins --skill custom-profilegit 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/custom-profile)<a href="https://agentmods.dev/skills/facebookresearch/projectaria-plugins/custom-profile"><img src="https://agentmods.dev/badge/skills/facebookresearch/projectaria-plugins/custom-profile.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 | $0.00144 | $0.05855 |
| Opus 5 | $0.00072 | $0.02927 |
| Sonnet 5 | $0.00029 | $0.01171 |
| Haiku 4.5 | $0.00014 | $0.00585 |
Grade A, and why
custom-profile 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 3d 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 — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Profile Authoring
A profile is a JSON-shaped configuration that fixes which Aria Gen 2 sensors are enabled, at what rate, resolution, and encoding. The same profile applies to both recording and streaming — historically called "recording profile" (and the Companion App still labels them that way), which is misleading; profiles are not recording-only. The device ships with pre-defined profiles validated for thermal, battery, and data quality — use these by default. Custom profiles are for cases where no pre-defined profile fits.
Mental model
A profile is a high-level intent, not a literal sensor list. The device expands it: enabling a vertical (vio, et, ht) auto-adds its raw-sensor dependencies (cameras, IMU); unset fields fall back to defaults; illegal values reject the profile.
Key consequences:
- Presence is meaning. Many fields are empty-object toggles (
"button_state": {}); present = on. - Omit prerequisites.
etalone is fine;et_cameras+ IR LED are auto-added. Express intent, not plumbing. - Spelling matters. Misspelled or unknown fields are rejected outright on upload.
- Selection is by
name, not by filename, not by index, not bytype.
When NOT to write a custom profile
Stop and use a pre-defined profile if any of these apply:
- The user is new to Aria.
- The data will be processed by MPS — custom profiles risk MPS incompatibility.
- The data needs to be sharable or comparable across studies.
- The user has not first tried a pre-defined profile.
Pre-defined profiles (use as base)
| Profile | Best for | Notable | Bundled JSON |
|---|---|---|---|
profile8 |
General-purpose recording | RGB 10 Hz @ 2560×1920, SLAM 30 Hz, all environmental sensors on | references/profile8.json |
profile9 |
General-purpose streaming | RGB 5 Hz CBR (8 Mbps + blur filter), no GPS / BLE / WiFi / ET cameras | references/profile9.json |
profile10 |
High-frame-rate RGB | RGB 30 Hz @ 2016×1512, otherwise like profile8 |
references/profile10.json |
mp_streaming_demo |
Machine-perception streaming demo | Streaming-only, lighter encoding for thermal, no ALS / baro / mag / GPS / BLE / WiFi | references/mp_streaming_demo.json |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 397 lines · 144 tokens per session scan A 92856473f824
custom-profile is a skill published in the GitHub repository facebookresearch/projectaria-plugins (8 stars, last pushed 9d ago), licensed Apache-2.0. It adds 144 tokens to every session and 5,855 once invoked, about $0.0007 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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