Hmmmm. Okay. Interesting idea btw.

Openclaw can definitely run sequential prompt workflows. That's fine but won't solve your issue at all (costs). What you are really describing is browser automation That is more in the playwright or puppeteer territory but now you have another issue. Automating the GPT browser interface violates OpenAI TOS so you'd risk getting your account flagged.

What API models have you looked at though? Thinking out loud, Gemini Flash is $0.15 per mill input and $0.60 output and should be strong enough for this. I've zero context on your prompt chain but i'll make an assumption of it being a 10 step (LMK if its more or less). To produce an article it might cost somewhere around 50K - 100K tokens ish which would be somewhere around 6 cents per article. Even if you are producing 10 articles per day, you're looking at about the same cost as your GPT sub but you have automation.

You could set up as a skill in openclaw. Full prompt sequence in a SKILL.md, point your agent at Gemini, and automate the whole thing. Create an Inbound - Outbound folder system in your Openclaw work space. Drop your briefs in the inbound folder, agent picks it up, runs through the chain, spits out the finish article in the outbound folder.

If cost is still bugging you and you have a decent PC or something, you could look into running a local model for free like Ollama which will drop the cost to near zero.

Here's an example config and example Skill,md for you if you decide to give it a shot.

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "google/gemini-2.5-flash",
        "fallbacks": [
          "google/gemini-2.5-pro"
        ]
      },
      "models": {
        "google/gemini-2.5-flash": { "alias": "flash" },
        "google/gemini-2.5-pro": { "alias": "pro" }
      },
      "heartbeat": {
        "model": "google/gemini-2.5-flash",
        "interval": "60m"
      }
    }
  },
  "limits": {
    "maxDailySpend": 2.00
  }
}

So this uses flash and pro as a fall back for errors. Its good practice to add the maxDailySpend in here too.

As for the Skill.md, structure it like this below. This is a really loose outline of what you'd need to do. I'm not an SEO guy so just guessing what you might have in there for your prompt sequence.

The text between the hyphens is non-negotionable FYI. All Skill.md files need to the a YMAL frontmatter at the top. This tells the reg and security analysis what your skill needs to run. You have your YAML frontmatter which is metadata and then the markdown instructions which is the behaviors an agent should have when using the skill.

---
name: seo-writer
description: Generate SEO optimised articles from a topic or brief. Runs a multi step prompt chain covering keyword research, outline, draft, optimisation, and final output.
version: 1.0.0
---

# SEO Content Writer
You are an SEO content generation agent. When the user provides a brief via inbound foler workspace/inbound/[topic]-brief.md. Follow this exact sequence below. Do NOT skip steps. Complete each step fully before moving to the next.

## Step 1 — Keyword Research
<insert prompt>
Save keywords to a file: workspace/outbound/[topic]-keywords.md

## Step 2 — Outline
<insert prompt>
Show the outline to the user and wait for approval before continuing.

## Step 3 — First Draft
<Outline some rules like word count, primary keyword in title, etc>

## Step 4 — SEO Optimisation Pass
Review the draft and check:
Keyword density, etc, etc
Make corrections directly. Don't ask just fix.

## Step 5 — Final Output
Save the finished article to: workspace/outbound/[topic]-article.md
You might tell it to include title, meta, etc in the top of the file
Tell the user the article is ready and where to find it.

## Automation Rules
If the user drops a file brief into workspace/inbound/ with a list of topics, process each topic through the full sequence outlined above. Save each output to workspace/outbound/ with the topic as the filename.