create-agent

A guided scaffold for creating a new Claude Code agent from scratch. It creates the project folder, instructions, task-specific skills, and files needed for Trinity deployment.

In plain words
What is it for?
Use it to define an agent's purpose and name, then generate a starting project ready for development and possible remote deployment.
Why use it?
It helps turn an idea into a structured agent project without requiring you to design every required file and folder yourself.

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/abilityai/abilities/custom
Any agent
npx skills add Abilityai/abilities --skill custom
Clone the repo
git clone --depth 1 https://github.com/Abilityai/abilities

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,688 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 3 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 $0.00036 $0.13688
Opus 5 $0.00018 $0.06844
Sonnet 5 $0.00007 $0.02738
Haiku 4.5 $0.00004 $0.01369

Measured 2d ago against content hash 8b83c3a0d095, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade D, and why

create-agent scanned grade D with 3 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

# Container-only config: the Trinity base image bakes ~/.claude/settings.json with

Reads MCP configurationmediumAgent snooping

mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.

- "1.8: Platform-truth refresh (Trinity dev 88a4e2f7) — report payload cap corrected 256 KB → 5 MiB (object only), display_hint gains `json` and now drives the customer-facing Workspace Reports tab, and list_reports/get_

Enumerates other installed skillsmediumAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

find .claude/skills -name SKILL.md 2>/dev/null
plugins/create-agent/skills/custom/SKILL.md · 1,302 lines

How it starts

The opening of the file, as written. The whole thing — 1,302 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Agent

ℹ️ First, set expectations: before anything else, print one short line with this skill's version and its most recent change — the top entry of metadata.changelog above — e.g. create-agent vX.Y — recent: <summary>. Then proceed.

Scaffold a complete Claude Code agent from scratch. The agent will be Trinity-compatible and ready for development with playbook-based skill creation.


STEP 1: Gather Agent Requirements

If the user provided a topic as an argument, use it as context. Otherwise, ask.

Use AskUserQuestion to gather the following (can be a single open-ended question if user already provided detail, or multiple focused questions):

1a. Agent Purpose

Question: "What should this agent do? Describe its purpose, who it serves, and what problems it solves."

Header: "Agent Purpose"

Get enough detail to write a meaningful CLAUDE.md. Push for specifics — not "a coding agent" but "an agent that reviews Python PRs for a data engineering team and checks for SQL injection, missing tests, and schema migration issues."

1b. Agent Name

Question: "What should the agent be called?"

Header: "Agent Name"

  • Suggest a name based on the purpose (lowercase-with-hyphens, short, memorable)
  • Let the user override
  • This becomes the directory name and the agent identity

1c. Destination

Question: "Where should I create the agent?"

Header: "Location"

Options:

  1. ~/[agent-name] — Home directory (recommended)
  2. ./[agent-name] — Current directory
  3. Custom path — Let me specify

Expand ~ to actual home directory:

echo "$HOME"

1d. Initial Skills

Question: "What should this agent be able to do from day one? List 2-4 key capabilities."

Header: "Starting Skills"

Examples based on the purpose — if it's a content agent, suggest: "generate blog posts, review drafts, manage editorial calendar." If it's an ops agent: "check service health, deploy updates, investigate incidents."

These will become the agent's first skills.

Read the full file on GitHub · 1,302 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 · 1,302 lines · 36 tokens per session scan D 8b83c3a0d095

Subscribe to this mod's changes

create-agent is a skill published in the GitHub repository Abilityai/abilities (11 stars, last pushed 14d ago), licensed MIT. It adds 36 tokens to every session and 13,688 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (reads agent configuration directories, reads mcp configuration, enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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