Borrowing it
Nothing to install: this file belongs to ricoNext/hello-agent-cli. 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/ricoNext/hello-agent-cli/main/CLAUDE.mdgit clone --depth 1 https://github.com/ricoNext/hello-agent-cliWrote 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/riconext/hello-agent-cli/claude-md)<a href="https://agentmods.dev/instructions/riconext/hello-agent-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/riconext/hello-agent-cli/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/riconext/hello-agent-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/riconext/hello-agent-cli/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 | $0.00647 | $0.00647 |
| Opus 5.5 | $0.00259 | $0.00259 |
| Sonnet 5.5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
hello-agent-cli 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Commands
bun install # install dependencies
bun run dev # run CLI in development
bun x ultracite fix # format & lint (run before committing)
bun x ultracite check # check for issues without fixing
No test suite is configured yet.
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
OPENAI_API_KEY |
Yes | — | API key (also works with Alibaba Qwen via custom base URL) |
OPENAI_BASE_URL |
No | OpenAI default | Custom API endpoint |
OPENAI_MODEL |
No | gpt-4o |
Model name |
Architecture
This is a Bun-based AI agent CLI with three usage modes:
- Single query —
bun run src/index.ts "prompt"callsrunQuery()for a one-shot response - Pipe mode —
echo "prompt" | bun run src/index.ts -prunsrunAgentPipe(), the agentic loop - Interactive REPL —
bun run src/index.ts(no args) launches the Ink-based terminal UI
Entry & Routing (src/index.ts → src/cli.ts)
index.ts fast-paths --version to avoid loading Commander. All other invocations delegate to cli.ts which uses Commander to route to the three modes above.
Agentic Loop (src/agent/loop.ts)
runAgentPipe() is the core agent loop:
- Calls the model with bash tool definitions (
src/tools/openai-tools.ts) - If the model returns
tool_calls, executes them viasrc/tools/bash.ts(Bun subprocess, stdout/stderr capped at 8000 chars) - Appends tool results to message history and loops until no tool calls or
--max-turnsis reached
Context Building (src/agent/context.ts)
buildSystemPrompt() enriches the system prompt with:
- Git state (branch, recent commits, working-tree diff) via
getSystemContext() .claude/CLAUDE.mdrules and current date viagetUserContext()
Results are memoized for the session lifetime.
Streaming (src/agent/stream-query.ts)
streamQuery() wraps the OpenAI streaming API and accepts an onDelta callback invoked per token — used by the REPL for live output.
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 · 62 lines · 647 tokens per session scan A 0aafed0759e9
hello-agent-cli CLAUDE.md is an instructions file published in the GitHub repository ricoNext/hello-agent-cli (5 stars, last pushed 5mo ago), licensed MIT. It adds 647 tokens to every session, about $0.0026 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 2026-08-31.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.