Borrowing it
Nothing to install: this file belongs to rossoctl/examples. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rossoctl/examples/main/CLAUDE.mdgit clone --depth 1 https://github.com/rossoctl/examplesWrote 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/rossoctl/examples/claude-md)<a href="https://agentmods.dev/instructions/rossoctl/examples/claude-md"><img src="https://agentmods.dev/badge/instructions/rossoctl/examples/claude-md/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/rossoctl/examples/claude-md"><img src="https://agentmods.dev/badge/instructions/rossoctl/examples/claude-md.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 | $0.01136 | $0.01136 |
| Opus 5.5 | $0.00454 | $0.00454 |
| Sonnet 5.5 | $0.00227 | $0.00227 |
| Haiku 4.5 | $0.00114 | $0.00114 |
Grade A, and why
examples CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - Agent Examples
This file provides guidance for AI assistants working with this repository.
Overview
Community examples of AI agents (A2A protocol) and MCP tools for the Rossoctl platform.
Each agent/tool is a self-contained Python project with its own pyproject.toml and Dockerfile.
Repository Structure
agent-examples/
├── a2a/ # A2A protocol agents
│ ├── a2a_contact_extractor/ # Contact extraction agent
│ ├── a2a_currency_converter/ # Currency conversion agent
│ ├── cheerup_agent/ # Cheerup agent
│ ├── file_organizer/ # File organizer agent
│ ├── generic_agent/ # Generic agent template
│ ├── git_issue_agent/ # GitHub issue agent
│ ├── image_service/ # Image generation agent
│ ├── recipe_agent/ # Recipe agent
│ ├── reservation_service/ # Reservation agent
│ ├── simple_generalist/ # Simple generalist agent
│ ├── slack_researcher/ # Slack research agent
│ ├── trivia_agent/ # Trivia agent
│ └── weather_service/ # Weather agent
├── mcp/ # MCP protocol tools
│ ├── cloud_storage_tool/ # Cloud storage tool
│ ├── flight_tool/ # Flight search tool
│ ├── github_tool/ # GitHub tool
│ ├── image_tool/ # Image tool
│ ├── movie_tool/ # Movie tool
│ ├── reservation_tool/ # Reservation tool
│ ├── shopping_tool/ # Shopping tool
│ ├── slack_tool/ # Slack tool
│ └── weather_tool/ # Weather tool
├── scripts/hooks/ # Git hooks
├── sample-environments.yaml # K8s environment configs
└── pyproject.toml # Root ruff config
Key Commands
| Task | Command |
|---|---|
| Lint | make lint |
| Format | make fmt |
| Pre-commit install | pre-commit install |
Code Style
- Python 3.11+ across all agents/tools
- Linting:
ruff(config in rootpyproject.toml) - Pre-commit hooks:
pre-commit install - Each agent/tool has its own
pyproject.tomlfor dependencies
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 · 133 lines · 1,136 tokens per session scan A 5d036d0397ba
examples CLAUDE.md is an instructions file published in the GitHub repository rossoctl/examples (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,136 tokens to every session, about $0.0045 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 2026-08-30.
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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 langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.