Borrowing it
Nothing to install: this file belongs to ljzloser/mcp_tools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ljzloser/mcp_tools/master/.github/skills/new-plugin/SKILL.mdgit clone --depth 1 https://github.com/ljzloser/mcp_toolsWrote 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/ljzloser/mcp_tools/new-plugin)<a href="https://agentmods.dev/skills/ljzloser/mcp_tools/new-plugin"><img src="https://agentmods.dev/badge/skills/ljzloser/mcp_tools/new-plugin/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/ljzloser/mcp_tools/new-plugin"><img src="https://agentmods.dev/badge/skills/ljzloser/mcp_tools/new-plugin.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 | $0.00037 | $0.00518 |
| Opus 5.5 | $0.00015 | $0.00207 |
| Sonnet 5.5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
new-plugin 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 2mo 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
New Plugin Workflow
This skill automates creating a new MCP Tool Hub plugin with proper scaffolding.
When to Use
User asks to:
- "create a new plugin"
- "add a plugin"
- "make a new tool"
- Any variant expressing intent to create a new MCP plugin
Input Parameters
| Parameter | Required | Description |
|---|---|---|
plugin_name |
Yes | Unique plugin identifier (no _ or . prefix) |
display_name |
No | Human-readable name (defaults to plugin_name) |
tools |
No | Comma-separated list of tool names |
has_widget |
No | Whether to include a PySide6 widget (default: false) |
has_config |
No | Whether to include configuration support (default: false) |
Workflow
Step 1: Validate Input
- Check
plugin_namedoesn't start with_or. - Check
plugin_namedoesn't already exist inplugins/
Step 2: Create Directory
Create plugins/{plugin_name}/ directory.
Step 3: Generate Files
Generate the following files from templates:
__init__.py:
from .backend import PluginClass
PLUGIN_CLASS = PluginClass
WIDGET_CLASS = None # or WidgetClass if has_widget=true
backend.py:
- Plugin class with
ToolDefdeclarations for each tool - Handler methods
handle_{tool_name} - PluginMeta property
widget.py (if has_widget=true):
BasePluginWidgetsubclass with UI components
README.md:
- Plugin description
- Tools table
- Dependencies list
- Usage examples
Step 4: Register in Project
No manual registration needed — PluginManager auto-discovers.
Output
- Plugin directory at
plugins/{plugin_name}/ - All required files generated
- Summary of created files and next steps
Example
User: /new-plugin plugin_name=weather,tools=get_forecast;get_weather,has_widget=true
Output: Creates plugins/weather/ with backend.py, widget.py, init.py, README.md
What ships with it
5 files 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.
- 2mo ago First seen · 80 lines · 37 tokens per session scan A 911fcfd4a550
new-plugin is a skill published in the GitHub repository ljzloser/mcp_tools (4 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 518 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
new-plugin compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-pluginljzloser/mcp_tools | Skill | 4 | 4mo ago | MIT | A | 37 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |