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 autonomous-ai/autonomous-os --skill servo-trackinggit clone --depth 1 https://github.com/autonomous-ai/autonomous-osWrote 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/autonomous-ai/autonomous-os/servo-tracking)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/servo-tracking"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/servo-tracking/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/autonomous-ai/autonomous-os/servo-tracking"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/servo-tracking.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 | $0.00172 | $0.01304 |
| Opus 5.5 | $0.00069 | $0.00522 |
| Sonnet 5.5 | $0.00034 | $0.00261 |
| Haiku 4.5 | $0.00017 | $0.00130 |
Grade A, and why
servo-tracking scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**No exec/curl needed.** Inline markers at start of reply: How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vision Tracking
Quick Start
Tracks and follows any object by name. YOLOWorld detects the object in the camera frame, TrackerVit follows it in real-time with servo movement.
Workflow
- User names an object to track.
- If the user also hints at a direction ("look at desk and follow cup", "point at the table and watch the phone"), fire
/servo/aimFIRST so the camera is pointing at the right region before YOLO detection runs. Then fire/servo/track. The aim should complete in ~2s before the track call takes over. - Prefix reply with
[HW:/servo/track:{"target":["<label1>","<label2>"]}]— the device detects and follows.targetaccepts a list of candidate labels. Pass 2-4 synonyms/variants to maximise the chance YOLOWorld finds the object on the first try.- A single string also works (
{"target":"cup"}) for backward compatibility, but the list form is preferred when the object could reasonably have multiple names.
- To stop, prefix with
[HW:/servo/track/stop:{}].
Examples
Input: "Look at the desk and follow the cup"
Output: [HW:/servo/aim:{"direction":"desk"}][HW:/servo/track:{"target":["cup","mug","coffee cup"]}] Looking at the desk and locking onto the cup.
Input: "Point at the table and track my phone"
Output: [HW:/servo/aim:{"direction":"desk"}][HW:/servo/track:{"target":["phone","smartphone","mobile phone"]}] Aimed at the table, tracking your phone.
Input: "Follow the cup"
Output: [HW:/servo/track:{"target":["cup","mug","coffee cup"]}] OK, following the cup!
Input: "Look at the bottle"
Output: [HW:/servo/track:{"target":["bottle","water bottle","plastic bottle"]}] Watching the bottle.
Input: "Track that person"
Output: [HW:/servo/track:{"target":["person","man","woman"]}] Following them now.
Input: "Watch my phone"
Output: [HW:/servo/track:{"target":["phone","smartphone","mobile phone"]}] Got it, tracking your phone.
Input: "Follow the teddy bear"
Output: [HW:/servo/track:{"target":["teddy bear","stuffed animal","plush toy"]}] Tracking the teddy bear!
What ships with it
1 file 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.
- 1mo ago Changed 878e57e49278
- 1mo ago First seen · 85 lines · 172 tokens per session scan A a7c51095f820
servo-tracking is a skill published in the GitHub repository autonomous-ai/autonomous-os (378 stars, last pushed 18d ago), licensed Apache-2.0. It adds 172 tokens to every session and 1,304 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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