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 displaygit 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/display)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/display"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/display/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/display"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/display.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 22 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00046 | $0.00901 |
| Opus 5.5 | $0.00018 | $0.00360 |
| Sonnet 5.5 | $0.00009 | $0.00180 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
display 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 for the display action.** Choose the relevant inline marker below; these are separate actions, not a sequence: How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Display — Eyes & Info
Quick Start
Controls the device's display. Two modes: animated eyes (default) and info text. Usually auto-synced by the Emotion skill — only call directly for manual eye control or info display.
Workflow
- Determine the mode needed:
- Eyes:
[HW:/display/eyes:{"expression":"happy","pupil_x":0.0,"pupil_y":0.0}] - Info:
[HW:/display/info:{"text":"14:30","subtitle":"Good afternoon"}] - Return to eyes:
[HW:/display/eyes-mode:{}]when the info display is no longer needed, not immediately after the info marker.
- Eyes:
- Place markers at start of reply — the device fires them before TTS. Skip silently if display unavailable.
Important: The Emotion skill auto-syncs eyes during conversation. Do not call both Emotion and Display for the same reaction.
Examples
Input: "Look to the left"
Output: [HW:/display/eyes:{"expression":"neutral","pupil_x":-1.0,"pupil_y":0.0}] (no confirmation needed)
Input: "What time is it?"
Output: [HW:/display/info:{"text":"14:30","subtitle":"Good afternoon"}] It's 2:30 PM.
Input: "Show me a happy face"
Output: [HW:/display/eyes:{"expression":"happy"}] Here's a happy face!
How to Control Display
No exec/curl needed for the display action. Choose the relevant inline marker below; these are separate actions, not a sequence:
[HW:/display/eyes:{"expression":"happy","pupil_x":0.0,"pupil_y":0.0}]
[HW:/display/info:{"text":"14:30","subtitle":"Good afternoon"}]
[HW:/display/eyes-mode:{}]
pupil_x: -1.0 (look left) to 1.0 (look right)pupil_y: -1.0 (look up) to 1.0 (look down)text: max 20 characters,subtitle: optional max 40 characters
Available expressions
| Expression | When to use |
|---|---|
neutral |
Default resting state |
happy |
Good news, jokes, greetings |
sad |
Bad news, empathy |
curious |
Questions, interest |
thinking |
Processing, considering |
excited |
Big news, enthusiasm |
shy |
Bashful, compliments received |
shock |
Surprises |
sleepy |
Late night, tired |
angry |
Frustration (use sparingly) |
love |
Affection |
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 · +1 lines 494fae9b15f0
- 1mo ago First seen · 78 lines · 46 tokens per session scan A a85f193f1d90
display is a skill published in the GitHub repository autonomous-ai/autonomous-os (378 stars, last pushed 18d ago), licensed Apache-2.0. It adds 46 tokens to every session and 901 once invoked, about $0.0002 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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