Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill page-agentgit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/nousresearch/hermes-agent/page-agent)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/page-agent"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/page-agent.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.02228 |
| Opus 5 | $0.00008 | $0.01114 |
| Sonnet 5 | $0.00003 | $0.00446 |
| Haiku 4.5 | $0.00002 | $0.00223 |
Grade A, and why
page-agent 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. `curl -I http://localhost:5174/page-agent.demo.js` returns `HTTP/1.1 200 OK` with `Content-Type: application/javascript` Copies of this mod
8 near-identical copies found in the catalogue:
- page-agent — 100% identical, 0 lines differ
- page-agent — 100% identical, 0 lines differ
- page-agent — 100% identical, 0 lines differ
- page-agent — 89% identical, 5 lines differ
- page-agent — 89% identical, 3 lines differ
- page-agent — 89% identical, 3 lines differ
- page-agent — 86% identical, 2 lines differ
- page-agent — 86% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
page-agent
alibaba/page-agent (https://github.com/alibaba/page-agent, 17k+ stars, MIT) is an in-page GUI agent written in TypeScript. It lives inside a webpage, reads the DOM as text (no screenshots, no multi-modal LLM), and executes natural-language instructions like "click the login button, then fill username as John" against the current page. Pure client-side — the host site just includes a script and passes an OpenAI-compatible LLM endpoint.
When to use this skill
Load this skill when a user wants to:
- Ship an AI copilot inside their own web app (SaaS, admin panel, B2B tool, ERP, CRM) — "users on my dashboard should be able to type 'create invoice for Acme Corp and email it' instead of clicking through five screens"
- Modernize a legacy web app without rewriting the frontend — page-agent drops on top of existing DOM
- Add accessibility via natural language — voice / screen-reader users drive the UI by describing what they want
- Demo or evaluate page-agent against a local (Ollama) or hosted (Qwen, OpenAI, OpenRouter) LLM
- Build interactive training / product demos — let an AI walk a user through "how to submit an expense report" live in the real UI
When NOT to use this skill
- User wants Hermes itself to drive a browser → use Hermes' built-in browser tool (Browserbase / Camofox). page-agent is the opposite direction.
- User wants cross-tab automation without embedding → use Playwright, browser-use, or the page-agent Chrome extension
- User needs visual grounding / screenshots → page-agent is text-DOM only; use a multimodal browser agent instead
Prerequisites
- Node 22.13+ or 24+, npm 10+ (docs claim 11+ but 10.9 works fine)
- An OpenAI-compatible LLM endpoint: Qwen (DashScope), OpenAI, Ollama, OpenRouter, or anything speaking
/v1/chat/completions - Browser with devtools (for debugging)
Path 1 — 30-second demo via CDN (no install)
Fastest way to see it work. Uses alibaba's free testing LLM proxy — for evaluation only, subject to their terms.
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.
- 3d ago First seen · 191 lines · 16 tokens per session scan A cf803e1f8096
page-agent is a skill published in the GitHub repository NousResearch/hermes-agent (242,093 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 2,228 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 2026-09-03.
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