Borrowing it
Nothing to install: this file belongs to Ranudar/devcontainer-for-claude-yolo-and-flow-next. 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/Ranudar/devcontainer-for-claude-yolo-and-flow-next/main/CLAUDE.mdgit clone --depth 1 https://github.com/Ranudar/devcontainer-for-claude-yolo-and-flow-nextWrote 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/ranudar/devcontainer-for-claude-yolo-and-flow-next/claude-md)<a href="https://agentmods.dev/instructions/ranudar/devcontainer-for-claude-yolo-and-flow-next/claude-md"><img src="https://agentmods.dev/badge/instructions/ranudar/devcontainer-for-claude-yolo-and-flow-next/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/ranudar/devcontainer-for-claude-yolo-and-flow-next/claude-md"><img src="https://agentmods.dev/badge/instructions/ranudar/devcontainer-for-claude-yolo-and-flow-next/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 | $0.00856 | $0.00856 |
| Opus 5 | $0.00428 | $0.00428 |
| Sonnet 5 | $0.00171 | $0.00171 |
| Haiku 4.5 | $0.00086 | $0.00086 |
Grade A, and why
devcontainer-for-claude-yolo-and-flow-next 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 10d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Notes
CRITICAL: RepoPrompt MCP (NOT rp-cli)
In this devcontainer, rp-cli is NOT available. RepoPrompt is accessed via MCP server through mcp-proxy on the Mac host.
How to Use RepoPrompt
Use the MCP tools directly (these are available in Claude Code):
mcp__RepoPrompt__manage_selection # Select files for context
mcp__RepoPrompt__workspace_context # Get current context snapshot
mcp__RepoPrompt__chat_send # Send to RepoPrompt chat (GPT-5.2, etc.)
mcp__RepoPrompt__get_file_tree # Browse file tree
mcp__RepoPrompt__file_search # Search files
mcp__RepoPrompt__read_file # Read file contents
mcp__RepoPrompt__apply_edits # Apply code edits
mcp__RepoPrompt__prompt # Get/set the prompt
mcp__RepoPrompt__chats # List/view chat history
mcp__RepoPrompt__list_models # List available models
mcp__RepoPrompt__get_code_structure # Get codemaps
mcp__RepoPrompt__context_builder # AI-assisted context building
For Code Reviews via RepoPrompt
# 1. Select the files to review
mcp__RepoPrompt__manage_selection(op="set", paths=["file1.py", "file2.py"])
# 2. Set the review prompt
mcp__RepoPrompt__prompt(op="set", text="Review this code for security issues...")
# 3. Send to chat with review mode
mcp__RepoPrompt__chat_send(new_chat=True, mode="review", message="Review the selected files")
# 4. Get the response
mcp__RepoPrompt__chats(action="log", chat_id="...")
What Does NOT Work
rp-cli- NOT installed in containerflowctl rpcommands - these shell out torp-cliwhich doesn't exist- Any direct CLI access to RepoPrompt
flow-next Review Backend
When flow-next asks for a review backend:
- Use RepoPrompt MCP tools directly (preferred) - as shown above
- Use "codex" only if RepoPrompt MCP is unavailable
- Do NOT choose "rp" (RepoPrompt CLI) - it doesn't exist in this container
Priority: RepoPrompt MCP > Codex CLI > none
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.
- 10d ago First seen · 92 lines · 856 tokens per session scan A 7644df970663
devcontainer-for-claude-yolo-and-flow-next CLAUDE.md is an instructions file published in the GitHub repository Ranudar/devcontainer-for-claude-yolo-and-flow-next (4 stars, last pushed 7mo ago), licensed MIT. It adds 856 tokens to every session, about $0.0043 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 2026-08-31.
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