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 instructions/activeagents/activeagent/agents-mdgit clone --depth 1 https://github.com/activeagents/activeagentWhat 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 | $0.04197 | $0.04197 |
| Opus 5 | $0.02099 | $0.02099 |
| Sonnet 5 | $0.00839 | $0.00839 |
| Haiku 4.5 | $0.00420 | $0.00420 |
Grade A, and why
activeagent AGENTS.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 yesterday.
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 — 448 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ActiveAgent - AI Code Generation Context
This file helps AI code generation tools (GitHub Copilot, Claude Code, Cursor, Codex, etc.) understand and work with the ActiveAgent codebase effectively.
Quick Reference
| What | Where |
|---|---|
| Main entry point | lib/active_agent.rb |
| Base agent class | lib/active_agent/base.rb |
| Provider implementations | lib/active_agent/providers/ |
| Agent concerns/mixins | lib/active_agent/concerns/ |
| Agent-as-tool delegation | lib/active_agent/delegation/ |
| Rails generators | lib/generators/active_agent/ |
Dashboard engine (actionagent gem) |
actionagent/ |
| Dashboard React source | actionagent/frontend/ |
| Test suite | test/ |
| Test Rails app | test/dummy/ |
| Documentation source | docs/ |
Architecture Overview
ActiveAgent extends Rails MVC patterns to AI interactions:
Rails Pattern → ActiveAgent Pattern
Controllers → Agents (AI logic handlers)
Actions → Agent methods (return Generation objects)
Views → Templates (ERB prompts in app/views/agents/)
Core Classes
ActiveAgent::Base- Base class all agents inherit fromActiveAgent::Generation- Lazy execution wrapper (like ActionMailer::MessageDelivery)ActiveAgent::Providers::BaseProvider- Abstract base for LLM providers
Execution Flow
# 1. Agent method is called → returns Generation (lazy)
generation = MyAgent.action_name
# 2. Execution happens only when:
generation.generate_now # Synchronous
generation.prompt_later # Background job (ActiveJob)
Key Patterns
Creating an Agent
class MyAgent < ApplicationAgent
generate_with :openai, model: "gpt-4o"
# Agent actions return Generation objects
def analyze(text)
@text = text # Available in templates
prompt(
message: "Analyze this text",
tools: [{
name: "search",
description: "Search for information",
parameters: {
type: "object",
properties: {
query: { type: "string", description: "Search query" }
},
required: ["query"]
}
}]
)
end
# Tool method - name must match tool's `name` field
def search(query:)
SearchService.search(query)
end
end
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.
- yesterday First seen · 448 lines · 4,197 tokens per session scan A 22d0286fc642
activeagent AGENTS.md is an instructions file published in the GitHub repository activeagents/activeagent (971 stars, last pushed 6d ago), licensed MIT. It adds 4,197 tokens to every session, about $0.0210 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.
Other instructions, from other repositories
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.
buildNext
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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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).
spec-kit AGENTS.md
Instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain 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.