Borrowing it
Nothing to install: this file belongs to Kargatharaakash/grok-bot-mcp. 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/Kargatharaakash/grok-bot-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/Kargatharaakash/grok-bot-mcpWrote 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/kargatharaakash/grok-bot-mcp/agents-md)<a href="https://agentmods.dev/instructions/kargatharaakash/grok-bot-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/kargatharaakash/grok-bot-mcp/agents-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/kargatharaakash/grok-bot-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/kargatharaakash/grok-bot-mcp/agents-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 | $0.00818 | $0.00818 |
| Opus 5 | $0.00409 | $0.00409 |
| Sonnet 5 | $0.00164 | $0.00164 |
| Haiku 4.5 | $0.00082 | $0.00082 |
Grade A, and why
grok-bot-mcp AGENTS.md scanned grade A with 1 finding 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 2d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Zero npm dependencies — Node built-ins only (`crypto`, `fs`, `child_process`, `os`, `path`, `readline`) How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project
grok-bot-mcp is an MCP (Model Context Protocol) server that bridges AI agents to Grok Bot. Single file: server.mjs. Zero dependencies. JSON-RPC over stdio.
Tech stack
- Node.js 18+ (ESM, uses global
fetch) - Zero npm dependencies — Node built-ins only (
crypto,fs,child_process,os,path,readline) - MCP protocol: JSON-RPC 2.0 over stdio (protocol version 2024-11-05)
- No TypeScript, no bundler, no framework
Commands
node server.mjs # start MCP server (stdio)
node --test tests/*.test.mjs # run tests (all mocked, no real calls)
No build step. No compile step.
Architecture
server.mjs
├── crypto helpers (checksum, obfuscate, machineId)
├── token acquisition (getTokenFromGrokBot, getTokenFromGbu)
├── gateway discovery (env vars → ~/.gbm/config.json — no Keychain on tool calls)
├── setup command (one-time Keychain decrypt → writes ~/.gbm/config.json)
├── API calls (callDashboard → ConnectRPC, callGateway → local or cloud HTTP)
├── SQLite reader (readAgentDb, listAgentDbs — read-only)
├── MCP tool definitions (TOOLS array — 10 tools)
├── tool handlers (handleTool — switch on tool name)
└── JSON-RPC server (readline → parse → dispatch → respond)
MCP tools
10 tools exposed:
list_bots— gatewaylistAgentscreate_bot— gatewaycreateAgentdelete_bot— gatewaydeleteAgentsend_message— gatewaysendPromptget_transcript— gatewaygetAgentTranscriptTailsearch_bots— gatewaysearchAgentscheck_usage— ConnectRPCGetSandUsageStatus+GetCurrentPeriodUsagelist_databases— reads~/.grokbot/agents/directoryread_transcript_entries— readsstore.dbSQLite directlysearch_messages— scans allstore.dbfiles withLIKEquery
Testing
- Tests in
tests/use mocks only - No real Grok Bot calls, no network, no database writes
tests/server.test.mjs— MCP protocol tests (initialize, tools/list, error handling)tests/gateway.test.mjs— gateway descriptor parsing (local + cloud formats)
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.
- 2d ago Changed · +1 lines · +38 tokens per session 255c48ec3bb3
- 9d ago First seen · 76 lines · 780 tokens per session scan A cb2d76f87af5
grok-bot-mcp AGENTS.md is an instructions file published in the GitHub repository Kargatharaakash/grok-bot-mcp (2 stars, last pushed 4d ago), licensed MIT. It adds 818 tokens to every session, about $0.0041 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.