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/temporal-community/temporal-ai-agent/agents-mdgit clone --depth 1 https://github.com/temporal-community/temporal-ai-agentWrote 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/temporal-community/temporal-ai-agent/agents-md)<a href="https://agentmods.dev/instructions/temporal-community/temporal-ai-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/temporal-community/temporal-ai-agent/agents-md.svg" alt="Measured on agentmods" 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 | $0.01790 | $0.01790 |
| Opus 5 | $0.00895 | $0.00895 |
| Sonnet 5 | $0.00358 | $0.00358 |
| Haiku 4.5 | $0.00179 | $0.00179 |
Grade A, and why
temporal-ai-agent 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Temporal AI Agent Contribution Guide
Repository Layout
workflows/- Temporal workflows including the main AgentGoalWorkflow for multi-turn AI conversationsactivities/- Temporal activities for tool execution and LLM interactionstools/- Native AI agent tool implementations organized by category (finance, HR, ecommerce, travel, etc.)goals/- Agent goal definitions organized by category, supporting both native and MCP toolsshared/- Shared configuration including MCP server definitionsmodels/- Data types and tool definitions used throughout the systemprompts/- Agent prompt generators and templatesapi/- FastAPI server that exposes REST endpoints to interact with workflowsfrontend/- React-based web UI for chatting with the AI agenttests/- Comprehensive test suite for workflows and activities using Temporal's testing frameworkenterprise/- .NET worker implementation for enterprise activities (train booking)scripts/- Utility scripts for running workers and testing tools
Running the Application
Quick Start with Docker
# Start all services with development hot-reload
docker compose up -d
# Quick rebuild without infrastructure
docker compose up -d --no-deps --build api worker frontend
Default URLs:
- Temporal UI: http://localhost:8080
- API: http://localhost:8000
- Frontend: http://localhost:5173
Local Development Setup
-
Prerequisites:
# Install uv and Temporal server (MacOS) brew install uv brew install temporal temporal server start-dev -
Backend (Python):
# Quick setup using Makefile make setup # Creates venv and installs dependencies make run-worker # Starts the Temporal worker make run-api # Starts the API server # Or manually: uv sync uv run scripts/run_worker.py # In one terminal uv run uvicorn api.main:app --reload # In another terminal -
Frontend (React):
make run-frontend # Using Makefile # Or manually: cd frontend npm install npx vite
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.
- 4d ago First seen · 200 lines · 1,790 tokens per session scan A 7d583e37b66d
temporal-ai-agent AGENTS.md is an instructions file published in the GitHub repository temporal-community/temporal-ai-agent (768 stars, last pushed 5mo ago), licensed MIT. It adds 1,790 tokens to every session, about $0.0089 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
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).
spec-kit AGENTS.md
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.
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.
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.
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).
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.