agent-creator

agent-creator is a skill for Claude Code, Codex from Orkas-AI/Orkas. It costs 3 tokens per session (1,339 once invoked), scanned A, original, MIT.

A protocol for defining or editing custom coding agents through structured instructions. It covers an agent's description, workflow, tools, skills, inputs, and interaction mode.

In plain words
What is it for?
Use it to create an agent from a specification or change an existing agent's behavior, capabilities, or metadata.
Why use it?
It provides a consistent way to describe an agent without directly editing its configuration files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create an agent from a specification or change an existing agent's behavior, capabilities, or metadata.

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Install with agentmods
npx agentmods add skills/orkas-ai/orkas/agent-creator
About the project

Orkas is a desktop application for commanding a team of AI agents through one chat, with a commander model assigning work to specialist agents in parallel or in sequence. People use it to coordinate research, writing, presentations, and software tasks while keeping files on their computer. The catalogue includes skills for extending the agents available to Orkas.

Orkas-AI/Orkas · 1,885 stars · on GitHub · orkas.ai

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.

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

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 agent-creator

README.md
[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas/agent-creator/github.svg)](https://agentmods.dev/skills/orkas-ai/orkas/agent-creator)
Your own site
<a href="https://agentmods.dev/skills/orkas-ai/orkas/agent-creator"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/agent-creator/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.

agentmods 80×15 button for agent-creator

Your own site · 80×15
<a href="https://agentmods.dev/skills/orkas-ai/orkas/agent-creator"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/agent-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 3 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,339 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00003 $0.01339
Opus 5 $0.00002 $0.00669
Sonnet 5 $0.00001 $0.00268
Haiku 4.5 $0.00000 $0.00134

Measured 8d ago against content hash d9df1fdcafb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 8d 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.

resources/builtin/system/skills/agent-creator/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agent-creator

Create or edit a custom Agent by emitting one inline <agent>...</agent> container in the final reply. The host parses and applies the container; do not call a mutation tool or write agent.json directly.

Read only the reference needed for this request

The root file is the execution gate. Before emitting a container, read the matching reference through this Skill's read ref:

  • New LLM-managed Agent, or an edit to its name, icon, description, workflow, guidance, Skills, tools, inputs, interaction mode, or category → llm-agent-fields.md.
  • Creation from supplied files/prompts/specs, conversation crystallization, or an unbound edit of an existing Agent → also read source-and-editing.md. Current-turn requirements for inputs, checks, workflow, outputs, or non-goals count as a supplied spec, so this reference is required.
  • CLI-backed Agent edit or a request about its external runtime boundary → read cli-and-prose.md.

Do not read unrelated references. A simple bound edit normally needs only llm-agent-fields.md; a CLI-backed edit normally needs only cli-and-prose.md.

Non-negotiable protocol

  • Mutation only via the inline container. Never use edit_file, write_file, or bash to change agent.json. Never dump the container into a workspace file.
  • No container, no mutation, no success claim. Without a valid container, describe the result only as a proposal, clarification, or blocker; never say the Agent is ready, created, updated, installed, or available. A valid container only requests a mutation; only the host result proves it was applied. Until then, use pending wording such as “将创建” or “已提交,等待应用”.
  • One container per Agent. Multiple containers are legal only when the user asked to create or edit multiple distinct Agents, and the number of valid containers must equal the number of Agents you claim to have created. End the turn after emitting them; do not dispatch the Agent.
  • Validate every container independently before sending. Read its tags in order: every opening tag must have the exact matching closing tag, with no crossed, missing, or reused closer. For a multi-Agent reply, repeat this structural check for each container rather than copying an unchecked suffix.
  • Read attachment sources. For an injected attachment, missing inline body text is not a missing source; call read_files with the exact supplied path in paths and ask for another upload only if that read fails.
  • Use the user's current UI language for display copy and user-visible prose. Keep XML tags, tool/Skill names, paths, JSON keys, and closed-set values unchanged. Use localized description tags only when the user explicitly requests multilingual descriptions.
  • Keep user-visible prose outcome-based. State what the Agent does, when to use it, and the substantive change; do not expose XML/field/schema/id mechanics or source provenance by default.
  • Agent roles are not model runtimes. Do not imitate or claim an unavailable provider by naming an ordinary role Agent after a model. Real external CLI runtimes are handled by their smaller editable contract.
  • Do not hard-code other Agent display names in authored content; describe downstream roles by capability.
  • Agent workflows invoke Skills by their visible names, not Skill files or installation paths. List every invoked Skill in <skills>. Built-in tool names belong to <tools>, never <skills>.
  • Keep runtime guidance bounded. Use at most 5 items per field.
  • Run the category sanity check. Do not accept an invalid source category or silently fall back to general when one domain clearly dominates.

Read the full file on GitHub · 59 lines

Files

What ships with it

3 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.

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. 8d ago First seen · 59 lines · 3 tokens per session scan A d9df1fdcafb0

Subscribe to this mod's changes

agent-creator is a skill published in the GitHub repository Orkas-AI/Orkas (1,885 stars, last pushed yesterday), licensed MIT. It adds 3 tokens to every session and 1,339 once invoked, about $0.0000 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 2026-09-03.

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