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-dnyoussef-ai-chrome-extensiongit 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-dnyoussef-ai-chrome-extension)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-creator-dnyoussef-ai-chrome-extension"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-creator-dnyoussef-ai-chrome-extension/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-dnyoussef-ai-chrome-extension"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-creator-dnyoussef-ai-chrome-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Output Handling · line 166 Output from one security context is used in another without boundary enforcement. Cross-context output flow can leak sensitive information or escalate privileges across trust boundaries.Fix: Enforce strict context boundaries. Do not pass output from one security domain into another without explicit validation and redaction of sensitive content.
- medium Output Handling · line 331 Output from one security context is used in another without boundary enforcement. Cross-context output flow can leak sensitive information or escalate privileges across trust boundaries.Fix: Enforce strict context boundaries. Do not pass output from one security domain into another without explicit validation and redaction of sensitive content.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-creator — 100% identical, 0 lines differ
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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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