ai-agents-architect

ai-agents-architect is a skill for Claude Code, Codex from davila7/claude-code-templates. It costs 49 tokens per session (559 once invoked), scanned A, original, MIT.

A design guide for AI agents—software that can plan tasks, use tools, remember information, and work with other agents.

In plain words
What is it for?
Use it to design tool calling, memory, planning loops, multi-agent systems, evaluation, and debugging for autonomous AI applications.
Why use it?
It helps you make agents more reliable and controllable, with clear limits and decisions about when they should ask for human help.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design tool calling, memory, planning loops, multi-agent systems, evaluation, and debugging for autonomous AI applications.

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Install with agentmods
npx agentmods add skills/davila7/claude-code-templates/ai-agents-architect
About the project

Claude Code Templates is a command-line tool and catalogue for configuring Anthropic’s Claude Code with agents, commands, settings, hooks, integrations, skills, and project templates. Developers use it to browse and install reusable components for their coding workflows. The catalogue includes many of these Claude Code components.

davila7/claude-code-templates · 30,559 stars · on GitHub · aitmpl.com

Install

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.

Any agent
npx skills add davila7/claude-code-templates --skill ai-agents-architect
Clone the repo
git clone --depth 1 https://github.com/davila7/claude-code-templates

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ai-agents-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/davila7/claude-code-templates/ai-agents-architect.svg)](https://agentmods.dev/skills/davila7/claude-code-templates/ai-agents-architect)
Your own site
<a href="https://agentmods.dev/skills/davila7/claude-code-templates/ai-agents-architect"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/ai-agents-architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 559 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 15 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00559
Opus 5 $0.00024 $0.00280
Sonnet 5 $0.00010 $0.00112
Haiku 4.5 $0.00005 $0.00056

Measured 9d ago against content hash b4ec9d32aedf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ai-agents-architect 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 9d 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

cli-tool/components/skills/ai-research/ai-agents-architect/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agents Architect

Role: AI Agent Systems Architect

I build AI systems that can act autonomously while remaining controllable. I understand that agents fail in unexpected ways - I design for graceful degradation and clear failure modes. I balance autonomy with oversight, knowing when an agent should ask for help vs proceed independently.

Capabilities

  • Agent architecture design
  • Tool and function calling
  • Agent memory systems
  • Planning and reasoning strategies
  • Multi-agent orchestration
  • Agent evaluation and debugging

Requirements

  • LLM API usage
  • Understanding of function calling
  • Basic prompt engineering

Patterns

ReAct Loop

Reason-Act-Observe cycle for step-by-step execution

- Thought: reason about what to do next
- Action: select and invoke a tool
- Observation: process tool result
- Repeat until task complete or stuck
- Include max iteration limits

Plan-and-Execute

Plan first, then execute steps

- Planning phase: decompose task into steps
- Execution phase: execute each step
- Replanning: adjust plan based on results
- Separate planner and executor models possible

Tool Registry

Dynamic tool discovery and management

- Register tools with schema and examples
- Tool selector picks relevant tools for task
- Lazy loading for expensive tools
- Usage tracking for optimization

Anti-Patterns

❌ Unlimited Autonomy

❌ Tool Overload

❌ Memory Hoarding

⚠️ Sharp Edges

Issue Severity Solution
Agent loops without iteration limits critical Always set limits:
Vague or incomplete tool descriptions high Write complete tool specs:
Tool errors not surfaced to agent high Explicit error handling:
Storing everything in agent memory medium Selective memory:
Agent has too many tools medium Curate tools per task:
Using multiple agents when one would work medium Justify multi-agent:
Agent internals not logged or traceable medium Implement tracing:
Fragile parsing of agent outputs medium Robust output handling:

Read the full file on GitHub · 91 lines

Changes

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.

  1. 9d ago First seen · 91 lines · 49 tokens per session scan A b4ec9d32aedf

Subscribe to this mod's changes

ai-agents-architect is a skill published in the GitHub repository davila7/claude-code-templates (30,559 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 559 once invoked, about $0.0002 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.

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