training-agent

training-agent is a skill for Claude Code, Codex from mgustofson/norman. It costs 201 tokens per session (1,624 once invoked), scanned A, original, no licence file.

A tool for assessing and improving the instructions, abilities, and results of other design-focused coding agents.

In plain words
What is it for?
It is for reviewing agent work, updating agent instructions, adding capabilities, and calibrating a team of design agents.
Why use it?
It helps find quality problems in agent output and decide what to change in an agent's instructions or capabilities.

Skill for Claude CodeCodex

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 skills/mgustofson/norman/training-agent
Any agent
npx skills add mgustofson/norman --skill training-agent
Clone the repo
git clone --depth 1 https://github.com/mgustofson/norman

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 training-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/mgustofson/norman/training-agent.svg)](https://agentmods.dev/skills/mgustofson/norman/training-agent)
Your own site
<a href="https://agentmods.dev/skills/mgustofson/norman/training-agent"><img src="https://agentmods.dev/badge/skills/mgustofson/norman/training-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 201 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,624 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00201 $0.01624
Opus 5 $0.00101 $0.00812
Sonnet 5 $0.00040 $0.00325
Haiku 4.5 $0.00020 $0.00162

Measured 4d ago against content hash ec248f9c17a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

training-agent 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.

skills/training-agent/SKILL.md · 110 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 110 lines · 201 tokens per session scan A ec248f9c17a3

Subscribe to this mod's changes

training-agent is a skill published in the GitHub repository mgustofson/norman (2 stars, last pushed 11d ago), with no licence file. It adds 201 tokens to every session and 1,624 once invoked, about $0.0010 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.

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