AgentOps is a Python toolkit and platform for recording, evaluating, debugging, and monitoring AI-agent activity, including language-model calls and their costs. Developers use it while building and operating agents with frameworks such as CrewAI, Agno, OpenAI Agents SDK, LangChain, and AutoGen. The catalogue entries provide rules for working with AgentOps.
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.
git clone --depth 1 https://github.com/AgentOps-AI/agentopsWrote 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/rules/agentops-ai/agentops/general)<a href="https://agentmods.dev/rules/agentops-ai/agentops/general"><img src="https://agentmods.dev/badge/rules/agentops-ai/agentops/general/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/rules/agentops-ai/agentops/general"><img src="https://agentmods.dev/badge/rules/agentops-ai/agentops/general.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 | $0.00043 | $0.00043 |
| Opus 5.5 | $0.00017 | $0.00017 |
| Sonnet 5.5 | $0.00009 | $0.00009 |
| Haiku 4.5 | $0.00004 | $0.00004 |
Grade A, and why
general 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.
What it actually says
Exclusions
No need to run the app. It's already up. i.e. no bun dev or bun run build
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 · 8 lines · 43 tokens per session scan A 451dedf9a319
general is a cursor rule published in the GitHub repository AgentOps-AI/agentops (5,887 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session, about $0.0002 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 2026-08-30.
Other cursor rules, from other repositories
langgraph-typescript-rules
This rule provides comprehensive guidelines and best practices for developing with LangGraph in TypeScript, covering basic knowledge, common patterns, and best practices for robust and maintainable applications.
typescript-coding-convention
This guide outlines the default-standard coding conventions for TypeScript, based on the Google TypeScript Style Guide, supplemented with best practices from other widely-used TypeScript style guides.
tsoa-rules
This document outlines comprehensive guidelines and best practices for developing Node.js server-side applications with tsoa, focusing on TypeScript for type safety and OpenAPI specification generation.
google-genai-typescript
Comprehensive guide for integrating the Google Gen AI SDK (@google/genai) into TypeScript applications, covering installation, initialization, and core capabilities like content generation, streaming, function calling, and structured output.
langsmith_evaluation
Comprehensive guide for LangSmith evaluation with @google/genai, including setup, dataset creation, target functions, evaluators, and running evaluations.
vue-rules
You are an expert in JavaScript, TypeScript, and the Vue.js framework for scalable web development.