Borrowing it
Nothing to install: this file belongs to quangtam/RemoClaw. 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/quangtam/RemoClaw/main/CLAUDE.mdgit clone --depth 1 https://github.com/quangtam/RemoClawWrote 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/quangtam/remoclaw/claude-md)<a href="https://agentmods.dev/instructions/quangtam/remoclaw/claude-md"><img src="https://agentmods.dev/badge/instructions/quangtam/remoclaw/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/quangtam/remoclaw/claude-md"><img src="https://agentmods.dev/badge/instructions/quangtam/remoclaw/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 | $0.01748 | $0.01748 |
| Opus 5.5 | $0.00699 | $0.00699 |
| Sonnet 5.5 | $0.00350 | $0.00350 |
| Haiku 4.5 | $0.00175 | $0.00175 |
Grade A, and why
RemoClaw 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 2mo 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RemoClaw — Agent Context
What Is This?
RemoClaw — remote control any AI coding agent from your phone. A Python bot that bridges messaging apps to AI coding CLIs (Kiro, Claude Code, Gemini, Codex) in headless mode. Standalone project.
Architecture
Chat App User -> RemoClaw (python-telegram-bot)
-> CliProvider.build_args() -> subprocess (streaming stdout)
-> strip ANSI -> extract response -> Markdown to HTML -> chat reply
File Structure
remoclaw.py # Main entry: handlers, auth guard, streaming, command routing
remoclaw # Bash management script (start/stop/restart/status/log)
remoclaw.bat # Windows management script
config.py # Config dataclass from .env (multi-CLI aware)
cli_runner.py # CliRunner: subprocess wrapper, streaming, model listing
session_manager.py # PTY session pool, lifecycle, state machine
db.py # SQLite persistence: thread_config, schema migration, resolve_thread_config
voice.py # Whisper transcription + TTS synthesis (dual-backend)
message_utils.py # ANSI strip, response extraction, MD→HTML, splitting, code-heavy detection
cli_providers/ # Pluggable CLI driver package (auto-discovery)
__init__.py # Re-exports: CliProvider, create_provider, get_available_providers
base.py # CliProvider ABC + CliProviderConfig dataclass
registry.py # Auto-scans cli_providers/*.py, registers by provider_id
kiro.py # Kiro CLI driver
claude.py # Claude Code driver
gemini.py # Gemini CLI driver
codex.py # OpenAI Codex driver
.env # Secrets (not committed)
.env.example # Template
requirements.txt # python-telegram-bot, aiosqlite, openai, edge-tts, faster-whisper
How to Run
./remoclaw start # start in background
./remoclaw restart # kill + wait + start
./remoclaw status # check PID
./remoclaw log # tail -f remoclaw.log
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.
- 2mo ago First seen · 123 lines · 1,748 tokens per session scan A 2c52c3d5d1ba
RemoClaw CLAUDE.md is an instructions file published in the GitHub repository quangtam/RemoClaw (5 stars, last pushed 5mo ago), licensed MIT. It adds 1,748 tokens to every session, about $0.0070 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.
RemoClaw CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| RemoClaw CLAUDE.mdquangtam/RemoClaw | Instructions file | 5 | 5mo ago | MIT | A | 1,748 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |