Clawless GEMINI.md

Clawless GEMINI.md is an instructions file for Gemini CLI from HainanZhao/Clawless. It costs 597 tokens per session, scanned A, original, MIT.

Project instructions for Clawless, a bridge that lets Telegram or Slack communicate with local AI command-line programs such as Gemini CLI, OpenCode, and Claude Code. It describes how messages, background jobs, schedules, and callbacks fit together.

In plain words
What is it for?
Use it when developing, configuring, testing, or troubleshooting Clawless and its messaging bridge, agent sessions, scheduler, or stored conversation history.
Why use it?
It gives an agent the project’s supported programs, structure, configuration locations, and development commands in one place. It also explains when work runs immediately or in the background.

Instructions file for Gemini CLI

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/hainanzhao/clawless/gemini-md
Clone the repo
git clone --depth 1 https://github.com/HainanZhao/Clawless

Made for: Gemini CLI.

Wrote 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.

agentmods badge for Clawless GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/hainanzhao/clawless/gemini-md.svg)](https://agentmods.dev/instructions/hainanzhao/clawless/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/hainanzhao/clawless/gemini-md"><img src="https://agentmods.dev/badge/instructions/hainanzhao/clawless/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 597 This file is loaded in full into every session.
When invoked 597 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00597 $0.00597
Opus 5 $0.00298 $0.00298
Sonnet 5 $0.00119 $0.00119
Haiku 4.5 $0.00060 $0.00060

Measured 5d ago against content hash 7e044ce38d84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Clawless GEMINI.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 5d 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.

GEMINI.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Context for Clawless

Bridge connecting local AI agent CLIs (Gemini CLI, OpenCode, Claude Code) to Telegram/Slack via ACP.

Core: BYO-agent — swap CLI runtimes without rebuilding bot integration.

Supported Agents

Agent CLI Command Config Value
Gemini CLI gemini gemini (default)
OpenCode opencode opencode
Claude Code claude claude

Architecture

Messaging (Telegram/Slack) → Clawless Bridge → Agent CLI (ACP)
                                      ↓
                              Scheduler + Callback API

Components: messaging/ (clients), acp/ (session mgmt), core/agents/ (CLI interface), scheduler/ (cron jobs), utils/ (memory/history)

Async Mode

  • QUICK: Simple questions, answered immediately
  • ASYNC: Tasks needing tools or >10s — returns confirmation, executes in background

Development

npm run dev      # Watch mode
npm run build    # lint + format + compile
npm run test     # vitest

Stack: TypeScript (ESM), Node.js 18+, Biome, Vitest, Pino logging, Zod validation

Config & Persistence

All in ~/.clawless/: config.json, MEMORY.md, conversation-history.jsonl, conversation-semantic-memory.db, schedules.json

API Endpoints (port 8788)

Endpoint Purpose
GET /health Health check
POST /callback/:platform Proactive notifications
POST /api/message Send to bound chat
GET/POST/PATCH/DELETE /api/schedule Cron job management
POST /api/memory/semantic-recall Semantic memory retrieval

Key Files

Area Files
Entry index.ts, bin/cli.ts
App app/ClawlessApp.ts, app/AgentManager.ts
Agents core/agents/*.ts
ACP acp/runtimeManager.ts, acp/tempAcpRunner.ts
Messaging messaging/telegramClient.ts, messaging/slackClient.ts, messaging/ModeDetector.ts
Scheduler scheduler/*.ts
Utils utils/config.ts, utils/memory.ts, utils/semanticConversationMemory.ts

Read the full file on GitHub · 69 lines

Changes

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.

  1. 5d ago First seen · 69 lines · 597 tokens per session scan A 7e044ce38d84

Subscribe to this mod's changes

Clawless GEMINI.md is an instructions file published in the GitHub repository HainanZhao/Clawless (19 stars, last pushed 4mo ago), licensed MIT. It adds 597 tokens to every session, about $0.0030 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 2026-08-30.