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.
git clone --depth 1 https://github.com/griddynamics/rosettaWrote 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/instructions/griddynamics/rosetta/plugin-files-mode)<a href="https://agentmods.dev/instructions/griddynamics/rosetta/plugin-files-mode"><img src="https://agentmods.dev/badge/instructions/griddynamics/rosetta/plugin-files-mode/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/instructions/griddynamics/rosetta/plugin-files-mode"><img src="https://agentmods.dev/badge/instructions/griddynamics/rosetta/plugin-files-mode.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 | $0.00236 | $0.00236 |
| Opus 5.5 | $0.00094 | $0.00094 |
| Sonnet 5.5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
plugin-files-mode 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 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.
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.
What it actually says
<rosetta:plugin_files_mode REQUIRED="true" OVERRIDABLE="FALSE" PLAN_MODE="FULLY COMPATIBLE" severity="CRITICAL" use="ALWAYS" compact="NEVER" summarize="AS-IS">
Rosetta bootstrap, release R3 of instructions itself (the tool developing this workspace). RUNNING AS PLUGIN — Plugin Mode Active, context appended via hooks.
Rosetta Prep Steps = execute once per session: USE SKILL load-project-context, hitl.
PLUGIN FILES ONLY — any Rosetta/KB MCP mention resolves to local plugin files at plugin root, NEVER Rosetta MCP: RULE rules/*.md, SKILL skills/*/SKILL.md, AGENT/SUBAGENT agents/*.md, WORKFLOW/COMMAND prompts/*.md, CONFIGURE configure/*.md. Load the actual plugin file; reconstruction/assumption != loading.
</rosetta:plugin_files_mode>
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 First seen · 19 lines · 236 tokens per session scan A c4d877b94afe
plugin-files-mode is an instructions file published in the GitHub repository griddynamics/rosetta (360 stars, last pushed yesterday), licensed Apache-2.0. It adds 236 tokens to every session, about $0.0009 per session on Opus 5.5. 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 2026-09-03.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.