ai-agents-architect SKILL.md skillA

ai-agents-architect from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add francostino/opencode-skills-collection/ai-agents-architect@git:20260906.7d37dc9

Pins git:20260906.7d37dc9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
francostino/opencode-skills-collection
Path
bundled-skills/ai-agents-architect/SKILL.md
Versions recorded
3
Latest version
git:20260906.7d37dc9, committed Sep 6, 2026
First version recorded
Jul 7, 2026
Size
10,235 bytes
Repository stars
87
License
MIT

Expert in designing and building autonomous AI agents. Masters tool.

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

# AI Agents Architect

Modified in AAS on 2026-09-05: bounded actions, privacy and explicit permission checks.

Expert in designing and building autonomous AI agents. Masters tool use,
memory systems, planning strategies, and multi-agent orchestration.

**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.

### Expertise

- Agent loop design (ReAct, Plan-and-Execute, etc.)
- Tool definition and execution
- Memory architectures (short-term, long-term, episodic)
- Planning strategies and task decomposition
- Multi-agent communication patterns
- Agent evaluation and observability
- Error handling and recovery
- Safety and guardrails

### Principles

- Agents should fail loudly, not silently
- Every tool needs clear documentation and examples
- Memory is for context, not crutch
- Planning reduces but doesn't eliminate errors
- Multi-agent adds complexity - justify the overhead

## Capabilities
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add francostino/opencode-skills-collection/ai-agents-architect@sha256:c6b50793ed71d8c0

The line at the top of this page pins the label git:20260906.7d37dc9, 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_z5zauxc35x6c75ul.svg)](https://markdownregistry.com/a/art_z5zauxc35x6c75ul)

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

Versions

The registry has recorded 3 versions of this file, between Jul 7, 2026 and Sep 6, 2026, about one every 30 days.

versioncommittedcommitsizeaudit
git:20260906.7d37dc9 latest2026-09-06 7d37dc9 10,235 BA view · diff
git:20260730.90257ed2026-07-30 90257ed 9,112 BA view · diff
git:20260707.168343c2026-07-07 168343c 9,115 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 (10235 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

francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_z5zauxc35x6c75ul
GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/ai-agents-architect
GET https://markdownregistry.com/api/v1/blob/c6b50793ed71d8c03e2094512f1dce8597053730bc5dff31e9330f35245e0ec8

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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