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 nuxt/nuxt.com --skill ecosystem-usagegit clone --depth 1 https://github.com/nuxt/nuxt.comWrote 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/nuxt/nuxt.com/ecosystem-usage)<a href="https://agentmods.dev/skills/nuxt/nuxt.com/ecosystem-usage"><img src="https://agentmods.dev/badge/skills/nuxt/nuxt.com/ecosystem-usage/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/nuxt/nuxt.com/ecosystem-usage"><img src="https://agentmods.dev/badge/skills/nuxt/nuxt.com/ecosystem-usage.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 | $0.00021 | $0.01775 |
| Opus 5 | $0.00010 | $0.00888 |
| Sonnet 5 | $0.00004 | $0.00355 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
ecosystem-usage scanned grade A 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use this skill when an admin asks about MCP adoption, AI-agent traffic, raw Markdown consumption, curl usage, or which clients use Nuxt/Nuxt UI. How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill when an admin asks about MCP adoption, AI-agent traffic, raw Markdown consumption, curl usage, or which clients use Nuxt/Nuxt UI.
Source of truth
Use vercel-mcp__search_vercel_endpoints to discover POST /v2/observability/query, then call it through vercel-mcp__call_vercel_endpoint.
- Metric:
vercel.request.count - Aggregation:
sum - Scope:
type:projectownerId: the configured Nuxt team idprojectIds: one configured project id, Nuxt or Nuxt UI
- Always filter to
environment eq 'production'. - Use ISO UTC timestamps for
startTimeandendTime. - Because the Results block includes a change, always query the requested window and the immediately preceding equal-length window with the same scope and filter.
Query recipes
Run independent Nuxt and Nuxt UI queries in parallel.
A per-call batch or concurrency limit is not a total-query limit. Continue with additional call_vercel_endpoint batches until every requested total and detail query is complete.
- MCP request volume:
- Filter:
request_path eq '/mcp' and environment eq 'production' - For Nuxt and Nuxt UI separately, first query the current and previous equal-length windows ungrouped for exact HTTP request counts.
- For each project, group the current window by
client_user_agent(limit 25),bot_category+bot_name(limit 20), andrequest_method+http_status(limit 20).
- Filter:
- Explicit Markdown URLs on each project:
- Filter:
endswith(request_path, '.md') and environment eq 'production' - For Nuxt and Nuxt UI separately, query ungrouped, then group by
request_path(limit 10) andclient_user_agent(limit 10).
- Filter:
- Content-negotiated Markdown on each project:
- Filter:
contains(http_accept, 'text/markdown') and environment eq 'production' - For Nuxt and Nuxt UI separately, query ungrouped, then group by
request_path(limit 10) andclient_user_agent(limit 10).
- Filter:
- Agent discovery and intake on each project:
- Filter:
(request_path eq '/llms.txt' or request_path eq '/llms-full.txt' or request_path eq '/sitemap.md' or request_path eq '/openapi.json' or request_path eq '/.well-known/mcp/server-card.json') and environment eq 'production' - For Nuxt and Nuxt UI separately, query ungrouped, then group by
request_path(limit 10),client_user_agent(limit 10), orbot_category+bot_name(limit 10). - Keep these separate from content reads: fetching an index or server card does not prove the client consumed a documentation page.
- Filter:
- curl traffic, only when explicitly requested:
- Filter:
contains(client_user_agent, 'curl/') and environment eq 'production' - Group by
request_pathandclient_user_agent. - Exclude asset paths such as
/_nuxt/,/_fonts/, and image assets from the interpretation.
- Filter:
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.
- yesterday First seen · 95 lines · 21 tokens per session scan A 5dd602dbf2cf
ecosystem-usage is a skill published in the GitHub repository nuxt/nuxt.com (457 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,775 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-12.
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