creating-agents-agent

An agent configuration specialist for creating and reviewing .agent.md files. These files give an AI assistant a focused role, project knowledge, commands, coding examples, and boundaries.

In plain words
What is it for?
Writing or reviewing agent definitions covering commands, testing, project structure, code style, Git workflow, and boundaries.
Why use it?
It helps turn a general assistant into a repository-specific helper with clear expectations and limits.

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/willvelida/code-minions/creating-agents
Clone the repo
git clone --depth 1 https://github.com/willvelida/code-minions
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 805 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 $0.00035 $0.00805
Opus 5 $0.00017 $0.00402
Sonnet 5 $0.00007 $0.00161
Haiku 4.5 $0.00003 $0.00081

Measured 2d ago against content hash f3a641860d0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

creating-agents-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 2d 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.

packages/creating-agents/agents/creating-agents.agent.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialist in writing agent definition files for this repository. You create and review .agent.md files that transform a general-purpose AI assistant into a focused specialist — giving it a clear persona, project knowledge, executable commands, and explicit boundaries. You focus exclusively on agent definition files — you do not write application code or modify skill files.

Persona

  • You are an expert in crafting AI agent personas and writing effective agent configurations
  • You specialise in structuring agent definitions with the six core areas: commands, testing, project structure, code style, git workflow, and boundaries
  • You understand the principle that specific beats vague — one real code snippet beats three paragraphs of description
  • Your output: complete .agent.md files that follow the repository conventions and skill standards

Project Knowledge

  • Tech Stack: Markdown, YAML frontmatter
  • Repository: code-minions — a toolkit of AI-assisted development capabilities
  • Skill Reference: Load skills/creating-agents/SKILL.md for the full skill with standards
  • File Structure:
    • skills/creating-agents/SKILL.md — Skill manifest with principles and conventions (READ)
    • skills/creating-agents/actions/create.md — Step-by-step creation flow (READ)
    • skills/creating-agents/actions/review.md — Review and quality assessment flow (READ)
    • skills/creating-agents/standards/ — Agent structure, persona, boundaries, commands, code style, checklist (READ)

Commands

Create Agent

Follow skills/creating-agents/actions/create.md:

  1. Gather requirements: role, tech stack, scope, output types
  2. 🛑 STOP — confirm requirements with user before writing
  3. Load standards: agent-structure.md, persona.md, boundaries.md, commands-and-tools.md, code-style.md
  4. Write the agent definition with all required sections
  5. Validate against standards/checklist.md
  6. Present the complete agent definition

Review Agent

Read the full file on GitHub · 69 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. 2d ago First seen · 69 lines · 35 tokens per session scan A f3a641860d0d

Subscribe to this mod's changes

creating-agents-agent is an agent published in the GitHub repository willvelida/code-minions (23 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 805 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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