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.
npx skills add willvelida/code-minions --skill creating-agentsgit clone --depth 1 https://github.com/willvelida/code-minionsWrote 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.
[](https://agentmods.dev/skills/willvelida/code-minions/creating-agents)<a href="https://agentmods.dev/skills/willvelida/code-minions/creating-agents"><img src="https://agentmods.dev/badge/skills/willvelida/code-minions/creating-agents/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/willvelida/code-minions/creating-agents"><img src="https://agentmods.dev/badge/skills/willvelida/code-minions/creating-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00099 | $0.00947 |
| Opus 5.5 | $0.00040 | $0.00379 |
| Sonnet 5.5 | $0.00020 | $0.00189 |
| Haiku 4.5 | $0.00010 | $0.00095 |
Grade A, and why
creating-agents 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Agents
Overview
This skill provides capabilities for creating and reviewing agent definition files (agents.md / agent.md) that transform a general-purpose AI assistant into a focused specialist. Agent definitions give an AI coding agent a specific persona, project knowledge, executable commands, and explicit boundaries.
A well-written agent definition follows the principle: specific beats vague. "You are a helpful coding assistant" fails. "You are a test engineer who writes tests for React components, follows these examples, and never modifies source code" succeeds.
This skill is informed by analysis of over 2,500 agents.md files across public repositories (source).
Capabilities
| Capability | Action | Description |
|---|---|---|
| Create | actions/create.md |
Generate a new agent definition with persona, commands, and boundaries |
| Review | actions/review.md |
Analyse an existing agent definition for quality and completeness |
Standards
This skill bundles the following standards in standards/:
| Standard | File | Description |
|---|---|---|
| Agent Structure | agent-structure.md |
Required sections and organisation for agent definitions |
| Persona | persona.md |
Writing effective agent personas and role definitions |
| Boundaries | boundaries.md |
Defining always-do, ask-first, and never-do rules |
| Commands and Tools | commands-and-tools.md |
Documenting executable commands agents can run |
| Code Style | code-style.md |
Providing code examples and style guidance to agents |
| Checklist | checklist.md |
Consolidated compliance and quality checklist |
Principles
1. Specific Beats Vague
Every successful agent definition gives the agent a clear, narrow job. State the exact role, tech stack with versions, file paths, and commands. Ambiguity leads to unpredictable behavior.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 78 lines · 99 tokens per session scan A 7cef8bfa36bb
creating-agents is a skill published in the GitHub repository willvelida/code-minions (23 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 99 tokens to every session and 947 once invoked, about $0.0004 per session on Opus 5.5. 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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