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 ai-ecoverse/slicc --skill computergit clone --depth 1 https://github.com/ai-ecoverse/sliccWrote 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/ai-ecoverse/slicc/computer)<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/computer"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/computer/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/ai-ecoverse/slicc/computer"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/computer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00098 | $0.02991 |
| Opus 5.5 | $0.00039 | $0.01196 |
| Sonnet 5.5 | $0.00020 | $0.00598 |
| Haiku 4.5 | $0.00010 | $0.00299 |
Grade B, and why
computer scanned grade B 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 17d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
A Mac started with `slicc <join-url> follow --computer` shows as **one** entry in `host`, tagged `[ssh] [computer]` — the CLI and the headless Sliccstart it spawned are folded by a shared `hello.pairId`. Point `computer How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
computer — look at and poke a screen
computer is the look-then-act loop for every registered screen. Prefer it over v86 type|key|mouse|screenshot|text once a guest is running. v86 start still boots the VM and registers v86:<name>.
Target
computer ls # ids, kinds, names, titles
computer use v86:arch # default for later verbs
computer info # descriptor for the current target
Resolution order: -c / --computer, else $COMPUTER, else last computer use, else the only registered computer.
-c takes an id, the -n name the computer was added under, or its current title — in that order. Prefer the id or the name: ls shows them in separate columns because TITLE is whatever the surface calls itself right now (a tab republishes document.title on every capture), while NAME is fixed for the life of the registration.
Look then act
Every poke writes a frozen JPEG and prints target: <id> then screen: <path>. The extension of that path follows the bytes, so it is .jpg in practice and .png only if a backend hands back PNG the runtime could not transcode — read the extension, do not assume it. The target: line is the resolved computer (-c, $COMPUTER, last use, or the only registered one) so a later computer screenshot without -c still binds the bash-row UI. That poke frame is a transcript side effect only — it does not redefine the coordinate space, so never read new coordinates off it (it can come back narrower and your clicks would map to the wrong place). Run a fresh computer screenshot before choosing coordinates for the next click. If the frozen frame cannot be captured, the poke still exits 0 (it already happened); do not retry the same click.
computer screenshot # JPEG; prints WxH → wxh (scale s)
computer screenshot --size high out.jpg
computer text # text-mode dump when the backend supports it
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.
- 17d ago Changed d674fbbc8bfa
- 21d ago Changed f38bebac4ef0
- 27d ago Changed · +10 lines 6519f01a6043
- 29d ago Changed · +2 lines 2950af75a2f2
- 1mo ago Changed ea1a04e3a2f3
- 1mo ago First seen · 119 lines · 98 tokens per session scan B 531ec99c7946
computer is a skill published in the GitHub repository ai-ecoverse/slicc (34 stars, last pushed 2d ago), licensed Apache-2.0. It adds 98 tokens to every session and 2,991 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.
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