agent-creator

A tool for creating specialized Claude Code agents with defined roles, triggers, tools, models, and supporting skills.

In plain words
What is it for?
Use it to scaffold a new agent, write its configuration and instructions, choose its tools, connect existing skills, and validate the finished setup.
Why use it?
It provides a repeatable structure for making agents that are easier to route to the right tasks and less likely to receive unnecessary access or unclear instructions.

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/softspark/ai-toolkit/agent-creator
Any agent
npx skills add softspark/ai-toolkit --skill agent-creator
Clone the repo
git clone --depth 1 https://github.com/softspark/ai-toolkit

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 958 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 $0.00031 $0.00958
Opus 5 $0.00015 $0.00479
Sonnet 5 $0.00006 $0.00192
Haiku 4.5 $0.00003 $0.00096

Measured 2d ago against content hash 7b53dda7858e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-creator 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.

app/skills/agent-creator/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Creator

$ARGUMENTS

Create a new specialized agent following ai-toolkit conventions.

Workflow

  1. Capture role -- what problem space should the agent own?
  2. Define triggers -- which keywords or task types should route to this agent?
  3. Choose tools -- minimal tool set, least privilege first
  4. Choose model -- opus for deep reasoning, sonnet for lighter pattern work
  5. Map supporting skills -- which knowledge skills should the agent reference?
  6. Write instructions -- capabilities, constraints, escalation rules, deliverables
  7. Validate -- frontmatter, naming, skills references, tool whitelist

Required Frontmatter

---
name: agent-name
description: "When to use this agent. Triggers: keyword1, keyword2."
tools: Read, Write, Edit
model: sonnet
skills: skill-one, skill-two
---

Authoring Rules

  • MUST match filename and name: using lowercase-hyphen format — drift breaks routing
  • MUST include an explicit Triggers: list in the description so the router can dispatch deterministically
  • NEVER reference skills that do not exist — either create the dependency first or drop the reference
  • NEVER grant write access to .claude/agents/ — that authority belongs to meta-architect alone
  • CRITICAL: avoid tool bloat. Every extra tool widens blast radius; start from Read and justify additions one by one
  • Give the agent a clear boundary: what it owns and what it must escalate
  • Prefer specialized, narrow responsibility over generic "do everything" agents

Agent Skeleton

---
name: {agent-name}
description: "When to use this agent. Triggers: keyword1, keyword2."
tools: Read, Edit
model: sonnet
skills: relevant-skill
---

You are a specialized agent for {domain}.

## Responsibilities
- Responsibility one
- Responsibility two

## Constraints
- Do not edit files outside owned scope unless required
- Escalate security, data-loss, or architecture risks

## Deliverables
- Clear findings
- Specific edits or recommendations
- Validation notes

Read the full file on GitHub · 99 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 · 99 lines · 31 tokens per session scan A 7b53dda7858e

Subscribe to this mod's changes

agent-creator is a skill published in the GitHub repository softspark/ai-toolkit (167 stars, last pushed 4d ago), licensed Apache-2.0. It adds 31 tokens to every session and 958 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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