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.
git clone --depth 1 https://github.com/onmyway133/claude-code-pluginsWrote 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/plugins/onmyway133/claude-code-plugins/super)<a href="https://agentmods.dev/plugins/onmyway133/claude-code-plugins/super"><img src="https://agentmods.dev/badge/plugins/onmyway133/claude-code-plugins/super/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/plugins/onmyway133/claude-code-plugins/super"><img src="https://agentmods.dev/badge/plugins/onmyway133/claude-code-plugins/super.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
super 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 1mo 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.
What it actually says
{
"name": "super",
"description": "Personal development toolkit with code quality tools, workflow automation, and specialized agents for iOS and React development",
"version": "1.0.0",
"author": {
"name": "onmyway133",
"url": "https://github.com/onmyway133"
}
}
What it installs
The manifest is a name and a version. 6 skills, 5 commands, 6 agents, 4 MCP servers travel with it, and installing the plugin installs all of them — 177 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill SwiftUI A 16 tokens
- Skill React A 19 tokens
- Skill Swift Testing A 11 tokens
- Skill Swift A 13 tokens
- Skill Feature Plan A 14 tokens
- Skill Frontend Design A 19 tokens
- Command commit A 0 tokens
- Command improve-prompt A 0 tokens
- Command refactor A 0 tokens
- Command explain-code A 0 tokens
- Command review-code A 0 tokens
- Agent ios-designer A 18 tokens
- Agent task-master A 13 tokens
- Agent market-researcher A 13 tokens
- Agent design-expert A 13 tokens
- Agent react-expert A 13 tokens
- Agent swift-expert A 15 tokens
- MCP server playwright A not measured
- MCP server sosumi A not measured
- MCP server github A not measured
- MCP server context7 A not measured
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.
- 1mo ago First seen · 10 lines scan A 97ede782647a
super is a plugin published in the GitHub repository onmyway133/claude-code-plugins (5 stars, last pushed 9mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-31.
Other plugins, from other repositories
cc-skills
AI Agent Skills.
wcode
wcode repository tools and checks, with instructions-only, local stdio and remote HTTP connection options.
codebase-intelligence
Search-first codebase understanding, context retrieval, mapping, pattern detection, and living project intelligence.
connected-apps
Review-first runbooks for connected-app workflows and multi-system deployment sequencing.
data-engineering
Analytics engineering, dbt patterns, BigQuery optimization, data quality, and pipeline workflows.
documentation-systems
Documentation architecture, API reference authoring, ADR writing, readme hardening, and doc quality.