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.
npx agentmods add rules/superagent-ai/grok-cli/tools-and-agentgit clone --depth 1 https://github.com/superagent-ai/grok-cliWhat 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 | $0.00000 | $0.00475 |
| Opus 5 | $0.00000 | $0.00237 |
| Sonnet 5 | $0.00000 | $0.00095 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
tools-and-agent 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 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.
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.
What it actually says
Agent & Tools System
Agent
Agent (in src/agent/agent.ts) is the core orchestrator. It manages:
- The Grok API client (
GrokClient) - Bash tool for all shell operations
- Web search and X search via the Responses API
- Chat history and message accumulation
- Abort/cancellation support
Agent Loop
The agent uses an iterative tool-call pattern via processMessage (async generator):
- Send messages to the LLM via Chat Completions API (streaming).
- If the response contains
tool_calls, execute each tool. - Append tool results to the message history.
- Repeat until no tool calls remain or
maxToolRoundsis reached. - Yield
StreamChunkobjects for real-time UI updates.
Tool Interface
All tools return a ToolResult:
interface ToolResult {
success: boolean;
output?: string;
error?: string;
}
Tools should never throw — wrap errors in { success: false, error: "..." }.
Built-in Tools
| Tool | File | Purpose |
|---|---|---|
BashTool |
src/tools/bash.ts |
Execute any shell command |
search_web |
via GrokClient.searchWeb() |
Web search using Responses API |
search_x |
via GrokClient.searchX() |
X/Twitter search using Responses API |
Grok Client
GrokClient (in src/grok/client.ts) handles two API endpoints:
- Chat Completions (
/v1/chat/completions): Main agent loop with streaming and tool calling - Responses API (
/v1/responses): X Search and Web Search with server-side tools
Adding a New Tool
- Add the tool schema to
src/grok/tools.ts(in theTOOLSarray). - Add the execution case in
Agent.executeTool(). - Update the system prompt in
Agentto document the tool.
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 First seen · 63 lines · 0 tokens per session scan A 347d4f1d026e
tools-and-agent is a cursor rule published in the GitHub repository superagent-ai/grok-cli (3,445 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 475 tokens. 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.
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