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-qualitygit 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-quality)<a href="https://agentmods.dev/skills/seovendorco/sv-mcp-skills/sv-content-quality"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-content-quality/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-quality"><img src="https://agentmods.dev/badge/skills/seovendorco/sv-mcp-skills/sv-content-quality.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 | $0.00053 | $0.00400 |
| Opus 5.5 | $0.00021 | $0.00160 |
| Sonnet 5.5 | $0.00011 | $0.00080 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
sv-content-quality 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 Quality: content-quality
MCP tool: content-quality · Mode: synchronous
API reference: Content Quality
When to use this
Use to score a specific published page against Google's helpful-content and E-E-A-T signals, typically right after a draft goes live or on an existing page. Pass a second URL to compare two pages head to head.
Parameters
| Parameter | Required | Notes |
|---|---|---|
keyword |
yes | 4 to 300 characters. |
url |
yes | The page to evaluate, max 300 characters. |
url_b |
no | A second page to compare against, max 300 characters. |
Example call
{ "keyword": "white label seo", "url": "https://example.com/white-label-seo" }
Result
Up to 15 scored criteria per URL (30 when url_b is set). Each has a number, a score from 0 to 100, and a written reason.
Chaining
sv-prose → publish → sv-content-quality → revise if scores are weak → sv-core-analysis is a solid quality gate.
Gotchas
- It needs a live, public URL. There is no way to pass raw text, so a draft has to be published (or hosted somewhere reachable) first.
- Treat the scores as a prompt to read each
reason, not as one pass or fail number. keywordmust be at least 4 characters.
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 · 42 lines · 53 tokens per session scan A c35856d5cb7e
sv-content-quality is a skill published in the GitHub repository seovendorco/sv-mcp-skills (2 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 400 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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