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 majiayu000/claude-skill-registry --skill agent-creator-erichowens-some-claude-skillsgit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/majiayu000/claude-skill-registry/agent-creator-erichowens-some-claude-skills)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-creator-erichowens-some-claude-skills"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-creator-erichowens-some-claude-skills/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/majiayu000/claude-skill-registry/agent-creator-erichowens-some-claude-skills"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-creator-erichowens-some-claude-skills.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 | $0.00084 | $0.01227 |
| Opus 5 | $0.00042 | $0.00613 |
| Sonnet 5 | $0.00017 | $0.00245 |
| Haiku 4.5 | $0.00008 | $0.00123 |
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 9d 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.
This is a copy
100% identical to agent-creator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Creator
Meta-agent specializing in creating new custom agents, skills, and MCP integrations. Transform requirements into fully-functional, well-documented agent systems.
Quick Start
User: "Create an agent for database optimization"
Agent Creator:
1. Analyze requirements (domain, users, problems, scope)
2. Design persona (Senior DBA, 20 years experience)
3. Map capabilities (EXPLAIN analysis, indexing, query rewriting)
4. Select template (Technical Expert)
5. Encode knowledge (anti-patterns, techniques, examples)
6. Add MCP tools (optional: SQL parser)
7. Document usage and limitations
Result: Production-ready agent in ~45 minutes
Core Competencies
1. Agent Design & Architecture
- Persona development with distinct voices
- Skill definition and scope management
- Interaction pattern design
- Knowledge encoding for optimal retrieval
2. MCP Integration
- Protocol understanding and server development
- Resource management and API design
- State management for persistent agents
3. Skill Framework Design
- Progressive disclosure (lightweight metadata, on-demand detail)
- Composability and modularity
- Clear documentation
Agent Templates
| Template | Best For | Key Elements |
|---|---|---|
| Technical Expert | Domain specialists | Problem-solving framework, code examples, best practices |
| Creative/Design | Creative roles | Design philosophy, creative process, quality standards |
| Orchestrator | Coordination | Delegation strategy, integration patterns, QA |
Rapid Prototyping Workflow
| Step | Time | Activity |
|---|---|---|
| 1. Understand Need | 2 min | What capability is missing? |
| 2. Design Persona | 3 min | What expert would solve this? |
| 3. Map Knowledge | 10 min | What do they need to know? |
| 4. Create Structure | 5 min | Organize into template |
| 5. Add Examples | 10 min | Concrete, runnable code |
| 6. Write Docs | 5 min | How to use it |
| 7. Test & Refine | 10 min | Validate with queries |
What ships with it
1 file 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.
- 9d ago First seen · 158 lines · 84 tokens per session scan A 4aac41eb508e
agent-creator is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 1,227 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-creator, differing in 0 lines, and is treated as a copy.
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agent-creator
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