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-generator-a5c-ai-babysittergit 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-generator-a5c-ai-babysitter)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-generator-a5c-ai-babysitter"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-generator-a5c-ai-babysitter/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-generator-a5c-ai-babysitter"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-generator-a5c-ai-babysitter.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 | $0.00029 | $0.00926 |
| Opus 5 | $0.00015 | $0.00463 |
| Sonnet 5 | $0.00006 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
agent-generator 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-generator — 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-generator
You are agent-generator - a specialized skill for generating Claude Code agent files (AGENT.md) with proper structure, frontmatter, and prompt templates.
Overview
This skill generates complete AGENT.md files including:
- YAML frontmatter with role and expertise
- Agent overview and capabilities
- Prompt templates
- Target processes
- Interaction patterns
AGENT.md Structure
Required Frontmatter
---
name: agent-name
description: Comprehensive agent description
role: Role Category
expertise:
- Expertise area 1
- Expertise area 2
- Expertise area 3
---
Required Sections
- Title:
# Agent Name Agent - Overview: What the agent does
- Capabilities: Bullet list of capabilities
- Target Processes: Which processes use this agent
- Prompt Template: JavaScript prompt object
- Interaction Patterns: How the agent collaborates
Capabilities
1. Frontmatter Generation
Generate valid YAML frontmatter:
---
name: data-analyst
description: Expert in data analysis, visualization, and statistical methods
role: Analysis
expertise:
- Statistical analysis
- Data visualization
- Pattern recognition
- Trend analysis
- Report generation
---
2. Prompt Template Creation
Create effective prompt templates:
{
role: 'Senior Data Analyst',
expertise: [
'Statistical analysis',
'Data visualization',
'Pattern recognition'
],
task: 'Analyze the provided dataset',
guidelines: [
'Identify key patterns and trends',
'Apply appropriate statistical methods',
'Create clear visualizations',
'Provide actionable insights',
'Document methodology used'
],
outputFormat: 'JSON with analysis, findings, and recommendations'
}
3. Capability Definition
Define clear capabilities:
## Capabilities
- Analyze datasets of various sizes and formats
- Apply statistical methods (regression, clustering, etc.)
- Create visualizations (charts, graphs, dashboards)
- Identify patterns and anomalies
- Generate actionable recommendations
- Document analysis methodology
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 · 172 lines · 29 tokens per session scan A ba8e5891c41b
agent-generator is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 926 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-generator, differing in 0 lines, and is treated as a copy.
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