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-factorygit 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-factory)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-factory"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-factory/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-factory"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-factory.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 | $0.00035 | $0.01977 |
| Opus 5 | $0.00017 | $0.00988 |
| Sonnet 5 | $0.00007 | $0.00395 |
| Haiku 4.5 | $0.00003 | $0.00198 |
Grade A, and why
agent-factory 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-factory — 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Factory
A comprehensive system for generating production-ready Claude Code agents and sub-agents. This skill provides templates, standards, and generation tools to create custom agents that seamlessly integrate with Claude Code's agent system.
What This Skill Does
This skill helps you create custom Claude Code agents for any domain or workflow. It generates properly formatted agent files that Claude Code can automatically discover and invoke when relevant.
Capabilities
- Generate Custom Agents - Create specialized agents for any domain (frontend, backend, testing, product, etc.)
- Enhanced YAML Frontmatter - Rich metadata including color coding, field categorization, expertise levels
- Tool Access Guidance - Recommends optimal tool configurations based on agent type
- MCP Integration - Suggests relevant MCP server tools for enhanced capabilities
- Execution Pattern Assignment - Ensures proper parallel/sequential execution for safety
- Validation - Checks agent configuration against best practices
Agent Types Supported
Strategic Agents (Lightweight, Parallel-Safe)
- Purpose: Planning, research, analysis
- Tools: Read, Write, Grep only
- Execution: 4-5 agents can run in parallel
- Color: Blue
- Examples: product-planner, market-researcher, architect
Implementation Agents (Full Tools, Coordinated)
- Purpose: Code writing, feature building
- Tools: Read, Write, Edit, Bash, Grep, Glob
- Execution: 2-3 agents coordinated
- Color: Green
- Examples: frontend-developer, backend-developer, api-builder
Quality Agents (Heavy Bash, Sequential Only)
- Purpose: Testing, validation, review
- Tools: Read, Write, Edit, Bash, Grep, Glob
- Execution: 1 agent at a time (NEVER parallel)
- Color: Red
- Examples: test-runner, code-reviewer, security-auditor
Coordination Agents (Lightweight, Orchestration)
- Purpose: Manages other agents, validates integration
- Tools: Read, Write, Grep
- Execution: Orchestrates others
- Color: Purple
- Examples: fullstack-coordinator, workflow-manager
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 · 269 lines · 35 tokens per session scan A 5954fec27b75
agent-factory is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 1,977 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-factory, differing in 0 lines, and is treated as a copy.
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