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-content-transformergit 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-content-transformer)<a href="https://agentmods.dev/skills/seovendorco/sv-mcp-skills/sv-content-transformer"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-content-transformer/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-content-transformer"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-content-transformer.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 | $0.00063 | $0.00541 |
| Opus 5.5 | $0.00025 | $0.00216 |
| Sonnet 5.5 | $0.00013 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
sv-content-transformer 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.
What it actually says
SV Content Transformer: content-transformer
MCP tool: content-transformer · Mode: synchronous
API reference: Content Transformer
When to use this
Use when there is already a piece of text (a draft, a client's existing copy) that needs condensing, retoning or reformatting. To write something new from a keyword use sv-seogpt (short) or sv-prose (long).
Parameters
| Parameter | Required | Notes |
|---|---|---|
text |
yes | The source text, 11 to 2000 characters. |
type |
no | Target content type ID, 0 to 332. The same list as sv-seogpt. |
keyword |
no | 4 to 300 characters. Anchors the rewrite to a target term. |
brand |
no | Max 60 characters. |
brandpersona |
no | Max 2000 characters. |
web |
no | Website URL, max 300 characters. url is a fallback. |
length |
no | Length preset ID, 0 to 14. |
language |
no | 0 to 39. 0 = US English. |
engine |
no | Writing engine ID, 0 to 18. |
Example call
{ "text": "Paste the source text you want to transform here.", "type": 18, "keyword": "white label seo", "brand": "Acme SEO" }
Result
The rewritten text.
Chaining
Commonly follows sv-prose to repurpose a long article into shorter formats. If you use competitor copy as the source, rewrite it thoroughly. Do not pass it through near-verbatim.
Gotchas
textis required and capped at 2000 characters. There is no URL fetch, so the caller must supply the source text. Split longer content into chunks.- Pick the
typeID from the tool schema. If the request does not clearly match one, ask which content type the user wants.
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 · 47 lines · 63 tokens per session scan A ed8761bce904
sv-content-transformer is a skill published in the GitHub repository seovendorco/sv-mcp-skills (2 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 541 once invoked, about $0.0003 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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