Borrowing it
Nothing to install: this file belongs to flujo-app/mcp-sandbox-computer-vm-for-ai. 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/flujo-app/mcp-sandbox-computer-vm-for-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/flujo-app/mcp-sandbox-computer-vm-for-aiWrote 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/flujo-app/mcp-sandbox-computer-vm-for-ai/claude-md)<a href="https://agentmods.dev/instructions/flujo-app/mcp-sandbox-computer-vm-for-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/flujo-app/mcp-sandbox-computer-vm-for-ai/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/flujo-app/mcp-sandbox-computer-vm-for-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/flujo-app/mcp-sandbox-computer-vm-for-ai/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 | $0.00370 | $0.00370 |
| Opus 5 | $0.00185 | $0.00185 |
| Sonnet 5 | $0.00074 | $0.00074 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
mcp-sandbox-computer-vm-for-ai 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 6d 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.
This is a copy
86% identical to Kilntainers CLAUDE.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Kilntainers: Secure Agent Sandboxes
This fork extends Kilntainers into named sandbox computers. terminal_execute supports stable computer IDs and temporary/permanent lifecycles; optional provider-neutral management tools and a stable MCP App dashboard manage Docker containers and Fly Machines. Set ENABLE_LIFECYCLE_TOOLS=true to expose the computer_* tools and dashboard; they are disabled by default.
Specs
This repository has detailed specs, and follows spec-driven design. Key files include:
- [specs/functional_spec.md] External behavior — the MCP tool interface, server configuration, connection lifecycle, backend behavioral contract, and security model. Not an architecture or implementation document.
- [specs/implementation_plan.md] our ordered implementation plan, including progress tracking
- [specs/phase_instructions.md] A set of instructions to follow when asked to implement a phase of the implmentation plan
- [specs/architecture/architecture_summary.md] A summary of architecture docs covering detailed technical designs. Additional architecture docs live in this path.
- specs/decisions.md — design decisions with rationale (source of truth). However these are generally captured in functional_spec and architecture, and does not need to be reviewed.
- specs/project_overview.md — original motivation and vision, but not maintained. Functional spec is generally more complete and up to date. Do not review unless looking for original motivation.
- specs/spec_queue.md — tracking of items requiring specification
Commands & Tools
You have access ot a MCP server to running tools like lint, format, types, test.
Always use the MCP commands to perform these actions, not direct bash calls. Bash calls require approval and will stop our work.
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.
- 6d ago Changed · +29 tokens per session a754d59cc072
- 10d ago First seen · 22 lines · 341 tokens per session scan A 95657f2ee719
mcp-sandbox-computer-vm-for-ai CLAUDE.md is an instructions file published in the GitHub repository flujo-app/mcp-sandbox-computer-vm-for-ai (4 stars, last pushed 3d ago), licensed MIT. It adds 370 tokens to every session, about $0.0019 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to Kilntainers CLAUDE.md, differing in 2 lines, and is treated as a copy.
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