ai-agent-design SKILL.md skillA

ai-agent-design from muvon/octomind-tap is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add muvon/octomind-tap/ai-agent-design@git:20261013.a69e0bb

Pins git:20261013.a69e0bb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
muvon/octomind-tap
Path
skills/ai-agent-design/SKILL.md
Versions recorded
3
Latest version
git:20261013.a69e0bb, committed Oct 13, 2026
First version recorded
May 21, 2026
Size
17,821 bytes
Repository stars
5
License
Apache-2.0

Operational playbook for designing production LLM agents in 2026. Covers agent loop patterns (ReAct, Reflexion, Plan-and-Execute, native tool use), tool schema engineering (descriptions, strict mode, input examples, tool search, anti-patterns), the Agent Skills open standard, Model Context Protocol (spec 2026-07-28) integration and security, multi-agent orchestration (LangGraph, CrewAI, AutoGen, vendor agent SDKs) with cost trade-offs, error handling, loop prevention and unattended-run…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## Overview

A production LLM agent is a loop: model proposes an action (often a tool call), system executes it, result becomes the next observation, repeat until done. The interesting questions are: which loop pattern, what tools, what schemas, what stops infinite recursion, what's logged for debugging, what's the cost ceiling per task, and which OWASP risks are alive in this surface. This skill encodes the 2026 patterns with cited sources, and the cost / risk numbers that decide architectural choices.

Use this skill when designing a new agent, picking an orchestration framework, debugging a misbehaving agent, or hardening tool exposure. Skip it for single-shot LLM prompts that don't call tools — that's a prompt problem, not an agent problem.

## Mental model

Three forces shape every agent design:

1. Loop structure — how the model reasons across steps. ReAct (interleaved thought-action-observation) is the foundation; Reflexion adds self-critique; Plan-and-Execute splits planning from execution; native function calling (OpenAI / Anthropic tool use) is the production-grade structured variant.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add muvon/octomind-tap/ai-agent-design@sha256:75a2225449b37538

The line at the top of this page pins the label git:20261013.a69e0bb, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qg7iacfrbbuax2og.svg)](https://markdownregistry.com/a/art_qg7iacfrbbuax2og)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between May 21, 2026 and Oct 13, 2026, about one every 72 days.

versioncommittedcommitsizeaudit
git:20261013.a69e0bb latest2026-10-13 a69e0bb 17,821 BA view · diff
git:20260918.40e721d2026-09-18 40e721d 18,542 BA view · diff
git:20260521.845154d2026-05-21 845154d 18,545 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17821 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

muvon/octomind-tap · 5 stars · license Apache-2.0 · pushed 2026-10-31 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_qg7iacfrbbuax2og
GET https://markdownregistry.com/api/v1/resolve?ref=muvon/octomind-tap/ai-agent-design
GET https://markdownregistry.com/api/v1/blob/75a2225449b37538cd992c4d636bf099bc2501848431e252853fb657cec7f667

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in muvon/octomind-tap

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