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 seovendorco/sv-mcp-skills --skill sv-prosegit clone --depth 1 https://github.com/seovendorco/sv-mcp-skillsWrote 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/seovendorco/sv-mcp-skills/sv-prose)<a href="https://agentmods.dev/skills/seovendorco/sv-mcp-skills/sv-prose"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-prose/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/seovendorco/sv-mcp-skills/sv-prose"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-prose.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 | $0.00058 | $0.01014 |
| Opus 5.5 | $0.00023 | $0.00406 |
| Sonnet 5.5 | $0.00012 | $0.00203 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
sv-prose 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SV Prose: prose
MCP tool: prose · Mode: asynchronous (usually several minutes)
API reference: Prose (formerly SEO GPT 2)
When to use this
Use for full-length blog posts, guides, case studies, white papers, landing pages and similar. For short snippets use sv-seogpt.
Parameters
| Parameter | Required | Notes |
|---|---|---|
topic |
yes | The article title or subject, 12 to 200 characters. |
keyword |
no | Supporting search keywords, up to 5, each 4 to 70 characters, 300 total. This is a separate field from topic. |
brand |
no | Max 60 characters. |
url |
no | Website URL, max 200 characters. |
notes |
no | Extra instructions, max 150 plain-text characters. |
type |
no | 0 = On-Page Blog Article, 1 = Off-Page Guest Article, 2 = Webpage Content, 3 = Landing Page, 4 = Product Review, 5 = Case Study, 6 = White Paper, 7 = How-To Guide, 8 = Tutorial Content, 9 = User Guide, 10 = Opinion Piece, 11 = E-Book, 12 = Press Release. |
length |
no | Word-count preset, 0 to 14 (for example 5 = 2000, 13 = 4000, 14 = 5000). |
language |
no | 0 to 39. 0 = US English. |
tone |
no | 0 to 25. |
person |
no | 0 = First, 1 = Second, 2 = Third. |
writer |
no | 0 to 5 (Professional Writer, Marketing Expert, and so on). |
engine |
no | Writing engine ID, 0 to 24. |
pathway |
no | 0 to 12. 6 = GEO (Generative Engine Optimization). Higher numbers add agentic variants. |
sourceposture |
no | 0 = Auto, 1 = Brand-Owned, 2 = Neutral Editorial, 3 = Comparative / Review. |
wait |
no | See Async behavior below. |
Example call
{ "topic": "White Label SEO for Agencies", "keyword": "white label seo, seo reseller", "url": "https://example.com", "brand": "Acme SEO", "wait": true }
Result
A finished result includes the article as HTML (article_html), the settings that were used, and four quality scores from 0 to 100: visit-website intent, keyword alignment, brand alignment and notes alignment. Check that the result is ready before using it.
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 First seen · 65 lines · 58 tokens per session scan A b95664bd26a7
sv-prose is a skill published in the GitHub repository seovendorco/sv-mcp-skills (2 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 1,014 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 2026-10-16.
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