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/n24q02m/claude-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/n24q02m/claude-plugins/wet-mcp)<a href="https://agentmods.dev/plugins/n24q02m/claude-plugins/wet-mcp"><img src="https://agentmods.dev/badge/plugins/n24q02m/claude-plugins/wet-mcp/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/n24q02m/claude-plugins/wet-mcp"><img src="https://agentmods.dev/badge/plugins/n24q02m/claude-plugins/wet-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
wet 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 7d 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 wet-mcp — 8 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "wet",
"description": "Open-source MCP server for AI agents: web search, content extraction, and library docs.",
"version": "3.19.2",
"userConfig": {
"EMBEDDING_MODELS": {
"type": "string",
"title": "Embedding model chain (optional)",
"description": "CSV 'provider/model,provider/model' (order = litellm fallback); provider inferred from prefix. Empty = local ONNX through fastretrieval. Managed route: cohere/embed-v4.0 via EMBEDDING_API_BASE; paid provider use needs an approved cap.",
"required": false
},
"RERANK_MODELS": {
"type": "string",
"title": "Rerank model chain (optional)",
"description": "CSV 'provider/model,...'; provider inferred from prefix. Empty = local ONNX cross-encoder. Managed route: cohere/rerank-v4.0-fast via RERANK_API_BASE; paid provider use needs an approved cap.",
"required": false
},
"LLM_MODELS": {
"type": "string",
"title": "LLM model chain (optional)",
"description": "CSV 'provider/model,...'; provider inferred from prefix. Empty = LLM features off. Managed completion: openrouter/minimax/minimax-m3:free only, with no paid fallback.",
"required": false
},
"EMBEDDING_API_BASE": {
"type": "string",
"title": "Embedding endpoint (optional)",
"description": "Custom endpoint or CF AI Gateway. Cohere: <gateway>/cohere/v2/embed.",
"required": false
},
"RERANK_API_BASE": {
"type": "string",
"title": "Rerank endpoint (optional)",
"description": "Custom endpoint or CF AI Gateway. Cohere: <gateway>/cohere; the client appends /v1/rerank.",
"required": false
},
"LLM_API_BASE": {
"type": "string",
"title": "Completion endpoint (optional)",
"description": "Custom endpoint or CF AI Gateway for the selected completion model.",
"required": false
},
"JINA_AI_API_KEY": {
"type": "string",
"title": "Jina AI API key (optional)",
"descrWhat it installs
The manifest is a name and a version. 6 skills travel with it, and installing the plugin installs all of them — 290 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 7d ago Changed ba92b57d3817
- 21d ago Changed 3957bd2dce82
- 22d ago Changed c96a54b19061
- 23d ago Changed dc009fb8c501
- 26d ago Changed 6c6b136e78fc
- 27d ago Changed 6b95ddf52828
- 29d ago Changed c92441b703c2
- 1mo ago Changed 1c37e332d0c2
- 1mo ago Changed 8942b6a8d8ea
- 1mo ago First seen · 125 lines scan A e21774bd0e5d
wet is a plugin published in the GitHub repository n24q02m/claude-plugins (4 stars, last pushed today), licensed Apache-2.0. 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. It is 100% identical to wet-mcp, differing in 8 lines, and is treated as a copy.
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