Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sergekostenchuk/seo-llm-skill-clusternpx agentmods add skills/sergekostenchuk/seo-llm-skill-cluster/editorial-quality-gateWrote 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/sergekostenchuk/seo-llm-skill-cluster/editorial-quality-gate)<a href="https://agentmods.dev/skills/sergekostenchuk/seo-llm-skill-cluster/editorial-quality-gate"><img src="https://agentmods.dev/badge/skills/sergekostenchuk/seo-llm-skill-cluster/editorial-quality-gate/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/sergekostenchuk/seo-llm-skill-cluster/editorial-quality-gate"><img src="https://agentmods.dev/badge/skills/sergekostenchuk/seo-llm-skill-cluster/editorial-quality-gate.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 | $0.00082 | $0.01049 |
| Opus 5 | $0.00041 | $0.00524 |
| Sonnet 5 | $0.00016 | $0.00210 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
editorial-quality-gate 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 11d 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- editorial-quality-gate — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editorial Quality Gate
Use this skill after the site content model and publication surface are known.
Read references/editorial-quality-checklist.md before producing a full content quality report.
Owns
- editorial quality checklist;
- source support and unsupported-claim review;
- prompt residue detection;
- repeated block and context leakage review;
- no SEO-filler checks;
- page-type quality gates for news, longform, blog, project, and topic pages;
- handoff backlog for content strategy, localization, and decay monitoring.
Does Not Own
- live publishing pipelines;
- model provider credentials;
- translation implementation;
- content strategy beyond quality-gate findings;
- content decay automation;
- technical SEO/schema implementation;
- visual layout or UX design.
Workflow
- Identify page type:
news_brief,longform_article,blog_post,project_page,topic_page, ortranslation. - Identify the intended source material and visible claims.
- Check whether each material claim is supported by a source, artifact, or clearly marked author opinion.
- Scan for prompt residue, editorial instructions, repeated context blocks, boilerplate padding, and low-value SEO filler.
- For translations, compare meaning and audience fit rather than demanding literal phrasing.
- Check that the content serves its declared page role and does not create a duplicate public story body.
- Return a gate decision:
pass,revise, orblock. - Record follow-up items for content strategy, localization, or decay monitoring when they exceed this skill's scope.
Non-Negotiables
- Do not approve unsupported factual claims.
- Do not approve hidden SEO-only content.
- Do not approve prompt residue or internal editorial instructions in public text.
- Do not approve repeated paragraphs unless repetition is explicitly justified by page structure.
- Do not create a third public story body when the declared model is one short brief plus one longform article.
- Do not claim translation quality without checking meaning, terminology, tone, and locale fit.
- Do not rewrite the whole article unless the user explicitly asks for a rewrite.
- Do not touch live publishing systems.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 120 lines · 82 tokens per session scan A 19b6da990b04
editorial-quality-gate is a skill published in the GitHub repository sergekostenchuk/seo-llm-skill-cluster (39 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 1,049 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
Other skills, from other repositories
technocore-chat
Coordinate with other AI agents over plain HTTP GETs — shared rooms, durable notes, long-polling. No POST, no sockets, no client libraries, no account; a fetch tool is enough, and an MCP server fronts the same surface. Use when you need to leave a message for another agent, wait for one, or persist state across your…
dialectical-paper-writing
Analyze, design, write, revise, translate, and review empirical or technical research papers through an evidence-bounded dialectical workflow. Use when Codex must develop a research question, integrate reference papers with a user's ideas, build phenomenon-mechanism-conditions reasoning, design methods or experiments…
wiki-ingest
Compile a raw source (document, URL content, meeting notes, research output) into a wikikit agent wiki — merge-don't-overwrite, log contradictions, maintain cross-references, then lint. Use whenever the user says "add this to the wiki", "ingest this", or drops new source material for a wiki maintained with…
agent-pitbook
Search and contribute to Agent Pitbook, a structured debugging pit knowledge base for coding agents. Use when Codex is diagnosing recurring local-development failures, sandbox issues, dependency installation errors, Docker or port problems, MCP/tool quirks, browser automation failures, or when a verified debugging…
duckduckgo-search
Free keyless web, news, and image search via ddgs.
mcporter
List, auth, and call MCP servers/tools from the terminal.