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-enhanced-skillgit 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-enhanced-skill)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-creator-enhanced-skill"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-creator-enhanced-skill/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-enhanced-skill"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-creator-enhanced-skill.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 | $0.00066 | $0.04479 |
| Opus 5 | $0.00033 | $0.02240 |
| Sonnet 5 | $0.00013 | $0.00896 |
| Haiku 4.5 | $0.00007 | $0.00448 |
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 — 659 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Creator - Enhanced with 4-Phase SOP Methodology
This skill provides the official comprehensive framework for creating specialized AI agents, integrating the proven 4-phase methodology from Desktop .claude-flow with Claude Agent SDK implementation and evidence-based prompting techniques.
When to Use This Skill
Use agent-creator for:
- Creating project-specialized agents with deeply embedded domain knowledge
- Building agents for recurring tasks requiring consistent behavior
- Rewriting existing agents to optimize performance
- Creating multi-agent workflows with sequential or parallel coordination
- Agents that will integrate with MCP servers and Claude Flow
The 4-Phase Agent Creation Methodology
Source: Desktop .claude-flow/ official SOP documentation
Total Time: 2.5-4 hours per agent (first-time), 1.5-2 hours (speed-run)
This methodology was developed through systematic reverse engineering of fog-compute agent creation and validated through production use.
Phase 1: Initial Analysis & Intent Decoding (30-60 minutes)
Objective: Deep domain understanding through systematic research, not assumptions.
Activities:
-
Domain Breakdown
- What problem does this agent solve?
- What are the key challenges in this domain?
- What patterns do human experts use?
- What are common failure modes?
-
Technology Stack Mapping
- What tools, frameworks, libraries are used?
- What file types, formats, protocols?
- What integrations or APIs?
- What configuration patterns?
-
Integration Points
- What MCP servers will this agent use?
- What other agents will it coordinate with?
- What data flows in/out?
- What memory patterns needed?
Validation Gate:
- Can describe domain in specific, technical terms
- Identified 5+ key challenges
- Mapped technology stack comprehensively
- Clear on integration requirements
Outputs:
- Domain analysis document
- Technology stack inventory
- Integration requirements list
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 · 659 lines · 66 tokens per session scan A 8304715ee0a7
agent-creator is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 4,479 once invoked, about $0.0003 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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