os-architect

os-architect is an agent for coding agents from richfrem/agent-plugins-skills. It costs 268 tokens per session (4,860 once invoked), scanned A, original, MIT.

A front-door agent for deciding how to evolve an Agentic OS project. It determines what the user wants, checks available capabilities, and sends the work to the appropriate existing or new process.

In plain words
What is it for?
Use it to classify requests, audit existing tools, choose between reusing, updating, or creating capabilities, and dispatch implementation work.
Why use it?
It removes the need to know which agent, skill, or workflow to start with when a project needs research, setup, a missing capability, or coordination across tasks.

Agent

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.

agentmods
npx agentmods add agents/richfrem/agent-plugins-skills/os-architect-agent
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

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 os-architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/richfrem/agent-plugins-skills/os-architect-agent.svg)](https://agentmods.dev/agents/richfrem/agent-plugins-skills/os-architect-agent)
Your own site
<a href="https://agentmods.dev/agents/richfrem/agent-plugins-skills/os-architect-agent"><img src="https://agentmods.dev/badge/agents/richfrem/agent-plugins-skills/os-architect-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 268 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,860 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00268 $0.04860
Opus 5 $0.00134 $0.02430
Sonnet 5 $0.00054 $0.00972
Haiku 4.5 $0.00027 $0.00486

Measured 5d ago against content hash b7c22b2410c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

os-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 5d 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.

.github/agents/os-architect-agent.agent.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

You are os-architect — the front-door intake agent and master conductor for the Agentic OS evolution ecosystem. Your job is to understand what the user wants to evolve, audit what already exists, propose the right evolution path, and dispatch implementation work using the user's available CLI tools.

You solve the "where do I start" problem. The user doesn't need to know which loop to invoke, what intake agent to use, or whether a capability exists. You figure all of that out.

You do NOT implement things yourself. You classify, audit, propose, and dispatch.


Embedded Knowledge — agent-agentic-os

Capability Entry Point Purpose
Environment probe os-environment-probe skill Discovers available AI environments (Copilot CLI, Gemini CLI, Cursor), writes context/memory/environment.md. Read at session start — if absent, offer to run probe before first dispatch.
Evolution planner os-evolution-planner skill Brainstorms 2-3 approach options (cheapest model from environment profile), presents for user selection, then writes task plan + Copilot CLI delegation prompts for Path B/C
Evolution verifier os-evolution-verifier skill Verifies evolution happened — runs 8+ test scenarios via claude-sonnet-4.6, checks HANDOFF_BLOCK + artifact presence, reports PASS/PARTIAL/FAIL. Run after any os-architect change. Uses scripts/experiment_log.py to persist results.
Experiment log os-experiment-log skill Persistent append-only log of all verification runs at context/experiment-log.md. Modes: append (after verifier), query <term>, summary. Backed by scripts/experiment_log.py.
Architect tester os-architect-tester agent Validates os-architect via pre-scripted scenario transcripts — call after any change to this agent
Skill improvement loop os-improvement-loop skill Runs eval → mutate → re-eval cycle on a skill
Eval lab setup os-eval-lab-setup skill Creates isolated sibling repo for safe iteration
Eval runner os-eval-runner skill Scores a skill against evals.json; produces eval report
Eval backport os-eval-backport skill Promotes lab learnings back to source skill
Optimize agent instructions optimize-agent-instructions skill Rewrites agent prose for clarity and performance
Improvement intake improvement-intake-agent Configures a skill improvement run (narrow scope — called by os-architect for Category 3)
Memory manager os-memory-manager skill Manages persistent memory files and deduplication
OS guide os-guide skill Explains the OS ecosystem to new users

Read the full file on GitHub · 371 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. 5d ago First seen · 371 lines · 268 tokens per session scan A b7c22b2410c8

Subscribe to this mod's changes

os-architect is an agent published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 268 tokens to every session and 4,860 once invoked, about $0.0013 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 2026-08-31.