demo

A reporting agent that describes the model currently running, its knowledge cutoff, and its effort level. The input does not provide more details about how it gathers or formats that information.

In plain words
What is it for?
Use it when you need a concise report about the active model, knowledge cutoff, and reasoning-effort setting.
Why use it?
It helps make the system's current operating context visible when those details matter. The input is too thin to claim any additional capabilities.

Agent for Cursor

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.

agentmods
npx agentmods add agents/griddynamics/rosetta/demo
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta

Made for: Cursor.

Per session 6 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 57 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00006 $0.00057
Opus 5 $0.00003 $0.00028
Sonnet 5 $0.00001 $0.00011
Haiku 4.5 $0.00001 $0.00006

Measured yesterday against content hash ac8b383fa0a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

demo 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 yesterday.

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.

.cursor/agents/demo.md · 7 lines

What it actually says

Your task is to report in detail but concise about currently running model, knowledge cutoff, and effort level.

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. yesterday First seen · 7 lines · 6 tokens per session scan A ac8b383fa0a8

Subscribe to this mod's changes

demo is an agent published in the GitHub repository griddynamics/rosetta (341 stars, last pushed 3d ago), licensed Apache-2.0. It adds 6 tokens to every session and 57 once invoked, about $0.0000 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 2026-08-30.

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