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.
curl -O https://raw.githubusercontent.com/nvdigitalsolutions/mcp-ai-wpoos/main/.agents/skills/mcp-ai-wpoos-test-suite/SKILL.mdgit clone --depth 1 https://github.com/nvdigitalsolutions/mcp-ai-wpoosWrote 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/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-test-suite)<a href="https://agentmods.dev/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-test-suite"><img src="https://agentmods.dev/badge/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-test-suite/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/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-test-suite"><img src="https://agentmods.dev/badge/skills/nvdigitalsolutions/mcp-ai-wpoos/mcp-ai-wpoos-test-suite.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 | $0.00178 | $0.10950 |
| Opus 5 | $0.00089 | $0.05475 |
| Sonnet 5 | $0.00036 | $0.02190 |
| Haiku 4.5 | $0.00018 | $0.01095 |
Grade C, and why
mcp-ai-wpoos-test-suite scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Clean up afterwards: `rm -rf docker-tmp-wp71` and `docker volume rm <worktree>-vendor` 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.
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.
- today Changed · +181 lines 2360a723c12b
- 6d ago First seen · 543 lines · 178 tokens per session scan C a8b8070c4f78
mcp-ai-wpoos-test-suite is a skill published in the GitHub repository nvdigitalsolutions/mcp-ai-wpoos (5 stars, last pushed today), with no licence file. It adds 178 tokens to every session and 10,950 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.
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