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.
npx skills add n24q02m/claude-plugins --skill wetgit 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/skills/n24q02m/claude-plugins/wet)<a href="https://agentmods.dev/skills/n24q02m/claude-plugins/wet"><img src="https://agentmods.dev/badge/skills/n24q02m/claude-plugins/wet/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/n24q02m/claude-plugins/wet"><img src="https://agentmods.dev/badge/skills/n24q02m/claude-plugins/wet.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 | $0.00059 | $0.00299 |
| Opus 5.5 | $0.00024 | $0.00120 |
| Sonnet 5.5 | $0.00012 | $0.00060 |
| Haiku 4.5 | $0.00006 | $0.00030 |
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.
What it actually says
wet — CLI-first web docs fetcher
Wet là CLI/API hạng-1; MCP server là surface phụ: chạy wet không subcommand → passthrough vào MCP server (flags như --http đi thẳng).
Lệnh chính
wet --help— xem toàn bộ subcommandswet doctor— kiểm tra cấu hình/API keyswet auth/wet logout— quản lý Google Drive authwet config— cấu hình (SYNC_FOLDER, cache, data dir ~/.wet legacy)wet docs— truy vấn library docs đã nénwet warmup— làm nóng cachewet relay— relay form cho MCP HTTP mode
Ghi chú
- Repo + CLI:
wet(2026-09-13). Package PyPI giữwet(PyPI chặn project namewet); data dir~/.wetgiữ nguyên. - MCP surface:
wet(bare) — passthrough MCP server; legacy entrywetcủa bản cũ vẫn chạy.
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 cbba7c06ecfe
- 1mo ago First seen · 22 lines · 59 tokens per session scan A 26e242cdeb7a
wet is a skill published in the GitHub repository n24q02m/claude-plugins (4 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 299 once invoked, about $0.0002 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 2026-09-14.
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