cherry

cherry is a skill for Claude Code from ai-ecoverse/slicc. It costs 119 tokens per session (1,367 once invoked), scanned A, original, Apache-2.0.

A guide for controlling a cooperative web page through SLICC's browser interface. The page embeds a SLICC component and exposes only the browser actions its host allows, such as navigation, reading the page, and screenshots.

In plain words
What is it for?
Use it to navigate an approved third-party page, click and read its content, and take screenshots when the host grants those capabilities.
Why use it?
It clarifies that the page is not a fully controlled browser tab and that unsupported actions are blocked by the host.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to navigate an approved third-party page, click and read its content, and take screenshots when the host grants those capabilities.

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Install with agentmods
npx agentmods add skills/ai-ecoverse/slicc/cherry
Install

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.

Any agent
npx skills add ai-ecoverse/slicc --skill cherry
Clone the repo
git clone --depth 1 https://github.com/ai-ecoverse/slicc

Made for: Claude Code.

Wrote 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.

agentmods badge for cherry

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-ecoverse/slicc/cherry.svg)](https://agentmods.dev/skills/ai-ecoverse/slicc/cherry)
Your own site
<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/cherry"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/cherry.svg" alt="Measured on agentmods" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,367 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00119 $0.01367
Opus 5 $0.00060 $0.00683
Sonnet 5 $0.00024 $0.00273
Haiku 4.5 $0.00012 $0.00137

Measured 2d ago against content hash 6fa01472007e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

cherry 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 2d 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.

packages/vfs-root/workspace/skills/cherry/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cherry

A cherry target is a third-party web page that has embedded a SLICC follower in an iframe (the webapp loaded with ?cherry=1) using the @ai-ecoverse/cherry host SDK. The host page lends itself to you over cooperative, postMessage-backed synthetic CDP. You drive it exactly like any other browser target — the same BrowserAPI / playwright-cli / teleport surface you already use — but it is capability-limited: the host opted into a small, explicit subset of what a real CDP target allows.

What a cherry target is (and is not)

  • It is a cooperative target. The host page is not a Chrome tab you fully control; it is a foreign page that agreed to be driven and gates every CDP domain it exposes. Anything outside the agreed capabilities fails closed.
  • You reach it through the same target surface as any tab: it appears in the target registry as kind: 'cherry' with a capabilities shape ({ navigate, network, screenshot }). Navigate it, click in it, read its DOM, and (when allowed) screenshot it with the commands you already know.
  • It is driven by a remote leader (you, a cloud cone) over the tray, while the follower iframe runs inside the host page. You never touch the host's network or credentials.

What you can do

The host advertises capabilities; respect them. Typical allowances:

  • Navigate the host page's top-level frame (Page.navigate) — only when the host set navigate: true.
  • Open a URL in a new host tab/window (Target.createTarget) — only when the host set openUrl: true. This is a host-mediated request, not a tab you own.
  • Read and query the DOM and dispatch clicks/keys within the embedded page (DOM.getDocument, DOM.querySelector, DOM.getBoxModel, Input.dispatchMouseEvent, Input.dispatchKeyEvent) and evaluate expressions in the host page realm (Runtime.evaluate). These are the baseline driveable contract; per-domain denials are enforced upstream by the host's permission gate, so a domain may still be refused.

Read the full file on GitHub · 117 lines

Changes

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.

  1. 2d ago First seen · 117 lines · 119 tokens per session scan A 6fa01472007e

Subscribe to this mod's changes

cherry is a skill published in the GitHub repository ai-ecoverse/slicc (30 stars, last pushed today), licensed Apache-2.0. It adds 119 tokens to every session and 1,367 once invoked, about $0.0006 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 2026-09-05.

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