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 cherrygit 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/cherry)<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>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 | $0.00119 | $0.01367 |
| Opus 5 | $0.00060 | $0.00683 |
| Sonnet 5 | $0.00024 | $0.00273 |
| Haiku 4.5 | $0.00012 | $0.00137 |
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.
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 acapabilitiesshape ({ 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 setnavigate: true. - Open a URL in a new host tab/window (
Target.createTarget) — only when the host setopenUrl: 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.
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.
- 2d ago First seen · 117 lines · 119 tokens per session scan A 6fa01472007e
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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