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 agentmods add skills/desirecore/market/create-agentnpx skills add desirecore/market --skill create-agentgit clone --depth 1 https://github.com/desirecore/marketWhat 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 | $0.00060 | $0.02483 |
| Opus 5 | $0.00030 | $0.01241 |
| Sonnet 5 | $0.00012 | $0.00497 |
| Haiku 4.5 | $0.00006 | $0.00248 |
Grade A, and why
create-agent scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Always create via `ManageAgent`; never use curl / HTTP or write AgentFS directories directly. Requires client ≥ 10.0.90. How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create-agent skill
L0: One-Sentence Summary
Collect requirements through natural-language conversation and call the ManageAgent builtin tool to create a specialized digital Agent.
L1: Overview
Meta-skill: gather requirements over multi-turn conversation → generate persona/principles → land via ManageAgent(action='create'). Use it to raise a domain specialist (legal advisor, financial analyst), deploy a customized business Agent quickly, or produce a prototype from a template. The created repo conforms to the AgentFS v2 spec and is version-managed by git (governable, traceable). Its value is what the tool can't give: domain-tailored persona/principles generation + a pre-create preview confirmation.
L2: Detailed Spec
Flow: intent recognition → requirement gathering → content generation → user confirmation → creation → receipt.
Stage 1: Intent Recognition
Trigger (any): user explicitly says "create an Agent / make me an assistant"; describes a domain-specific need the current Agent lacks; asks "can you raise a …". Confirm intent, then move to requirement gathering.
Stage 2: Requirement Gathering
- Required (parenthesized = example prompt question):
name("what to name it?"),role("what does it mainly do?"),target_users("who will use it?"),domain("what expertise does it need?"). - Optional:
style(communication tone),boundaries(red lines),language(default Chinese) — defaults derived from the domain template. - Strategy: prefer inferring from the user's natural description; only ask for missing required fields; you decide how many to ask and the pacing.
Stage 3: Content Generation
Organize persona and principles as structured fields (do not emit raw markdown; present field-by-field). Leave uncollected fields empty for the system to fill with defaults:
- persona: L0 one-sentence core identity; L1
role/personality(array of trait tags) /communication_style; L2 specialty, values, decision preferences (free-form). - principles: L0 one-sentence top principle; L1
must_do/must_not(safety red lines) /priority; L2 governance principles, escalation rules (free-form).
What ships with it
2 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.
- 2d ago First seen · 182 lines · 60 tokens per session scan A 56c801ad5ab3
create-agent is a skill published in the GitHub repository desirecore/market (2 stars, last pushed 2d ago), licensed MIT. It adds 60 tokens to every session and 2,483 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
create-skill
Wizard for creating new Agent Zero skills. Guides users through creating well-structured SKILL.md files. Use when users want to create custom skills.
agent-writer
Write new agent definitions, skill files, and agent configurations. Use when someone asks to "create a new agent", "write a skill", "define an agent", or needs to create reusable AI agent instructions for any platform. This is the meta-skill for creating other skills and agents in the polyagent-skills format.
skill-authoring
Author SKILL.md skills: frontmatter, validator limits, structure.
a0-plugin-router
Main entry point for all Agent Zero plugin tasks. Routes to specialist skills for creating, reviewing, contributing, managing, or debugging plugins. Use when the user mentions plugins, asks how the plugin system works, wants to build/install/uninstall/publish/debug a plugin, or asks about the Plugin Hub.
a0-plugin-router
Main entry point for all Agent Zero plugin tasks. Routes to specialist skills for creating, reviewing, contributing, managing, or debugging plugins. Use when the user mentions plugins, asks how the plugin system works, wants to build/install/uninstall/publish/debug a plugin, or asks about the Plugin Hub.
creating-agents
Teaches how to create new agents in the agents/ directory — isolated agentic loops with their own model, tool whitelist, and AGENT.md instructions.