mcp-ai-wpoos: Skill for Claude Code

.agents/skills/mcp-ai-wpoos-plugin/SKILL.md

mcp-ai-wpoos-plugin is a skill for Claude Code, Codex from nvdigitalsolutions/mcp-ai-wpoos. It costs 103 tokens per session (18,138 once invoked), scanned B, original, no licence file.

An operations guide for the NV oOS WordPress plugin, including Docker and WSL2 setup, assistant creation, credentials, MCP tool calls, API keys, and study configuration.

In plain words
What is it for?
It helps install and configure the plugin, create assistants, connect credentials, bridge environment variables, fix common issues, and set up IGCSE study use.
Why use it?
It brings setup instructions and troubleshooting information together for a plugin that can be run in Docker or WSL2.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is nvdigitalsolutions/mcp-ai-wpoos's own configuration. It tells Claude Code and Codex how to work on mcp-ai-wpoos itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-ai-wpoos configures →

Reuse

Borrowing it

Nothing to install: this file belongs to nvdigitalsolutions/mcp-ai-wpoos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/nvdigitalsolutions/mcp-ai-wpoos/main/.agents/skills/mcp-ai-wpoos-plugin/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/nvdigitalsolutions/mcp-ai-wpoos

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for mcp-ai-wpoos-plugin

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-plugin/github.svg)](https://agentmods.dev/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-plugin)
Your own site
<a href="https://agentmods.dev/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-plugin"><img src="https://agentmods.dev/badge/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-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.

agentmods 80×15 button for mcp-ai-wpoos-plugin

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-plugin"><img src="https://agentmods.dev/badge/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 18,138 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.18138
Opus 5 $0.00051 $0.09069
Sonnet 5 $0.00021 $0.03628
Haiku 4.5 $0.00010 $0.01814

Measured today against content hash 5571933aa113, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

mcp-ai-wpoos-plugin scanned grade B with 2 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 today.

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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

`curl -sS -X POST https://nvdigitalsolutions.com/wp-json/nvoos-checkout/v1/session -H 'Content-Type: application/json' -d '{"product":"nvoos-oos-complete","site_url":"https://victory.nvdigital.solutions"}'`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Calling MCP tools via `curl` / HTTP JSON-RPC
.agents/skills/mcp-ai-wpoos-plugin/SKILL.md · 1,318 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. today Changed · +264 lines scan A → B 5571933aa113
  2. 6d ago Changed · +298 lines 80702ae8110a
  3. 12d ago First seen · 756 lines · 103 tokens per session scan A fe8b051a82f8

Subscribe to this mod's changes

mcp-ai-wpoos-plugin is a skill published in the GitHub repository nvdigitalsolutions/mcp-ai-wpoos (5 stars, last pushed today), with no licence file. It adds 103 tokens to every session and 18,138 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.