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 01clauding/claude-seo-skill --skill seo-content-briefgit clone --depth 1 https://github.com/01clauding/claude-seo-skillWrote 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/01clauding/claude-seo-skill/seo-content-brief)<a href="https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-content-brief"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-content-brief/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/01clauding/claude-seo-skill/seo-content-brief"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-content-brief.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 | $0.00075 | $0.02290 |
| Opus 5 | $0.00037 | $0.01145 |
| Sonnet 5 | $0.00015 | $0.00458 |
| Haiku 4.5 | $0.00007 | $0.00229 |
Grade A, and why
seo-content-brief 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-content-brief — SERP-Driven Content Brief Generation
Brief Generation Process
Step 1: SERP Analysis
Analyze top 10 results for the target keyword:
- Fetch SERP results (via WebSearch or SERP API data)
- Identify content patterns across top rankers
- Map SERP features present (AI Overview, Featured Snippet, PAA, Video)
- Determine dominant search intent
Step 2: Competitor Content Analysis
For each top-5 ranking page, extract:
| Element | What to Capture |
|---|---|
| Word count | Total and per-section breakdown |
| Heading structure | H1, H2, H3 hierarchy and topics covered |
| Content format | Lists, tables, images, videos, infographics |
| Unique angles | What differentiates each competitor's approach |
| E-E-A-T signals | Author credentials, sources cited, experience markers |
| Schema used | Article, FAQ, HowTo (deprecated), Product, etc. |
| Internal links | How many, to what types of pages |
| Multimedia | Images count, video embeds, infographics |
Step 3: Content Gap Identification
Compare competitor coverage to find:
- Subtopics ALL top 5 cover → Must include (table stakes)
- Subtopics 2-3 cover → Should include (competitive advantage)
- Subtopics NONE cover → Opportunity for differentiation
- Questions in PAA → Direct answer opportunities
- AI Overview sources → What got cited and why
Step 4: Brief Assembly
Content Brief Template
# Content Brief: [Target Keyword]
## Target
- **Primary Keyword**: [keyword] (search volume: X/mo, difficulty: X)
- **Secondary Keywords**: [3-5 keywords with volume]
- **Search Intent**: [Informational / Commercial / Transactional / Navigational]
- **Target URL**: [new page or existing URL to update]
## SERP Landscape
- **AI Overview present**: Yes/No — [if yes, what sources cited]
- **Featured Snippet**: Yes/No — [type: paragraph/list/table]
- **PAA questions**: [list 4-6 questions]
- **SERP features**: [Video, Image Pack, Local Pack, Shopping, etc.]
- **Dominant content format**: [Guide / Listicle / Comparison / Tutorial]
## Content Specifications
- **Target Word Count**: [X-Y words] (based on competitor avg ±20%)
- **Content Format**: [Long-form guide / Listicle / How-to / Comparison]
- **Reading Level**: [Grade 8-10 for general, Grade 12+ for technical]
- **Tone**: [Authoritative / Conversational / Technical / Educational]
## Required Structure
### H1: [Exact title recommendation]
### Opening (first 200 words):
- Direct answer to the primary query
- Key statistic or fact
- Value proposition for reading further
- Primary keyword in first 60 words
### H2: [Section 1 title]
- Key points to cover
- Data/statistics to include
- [134-167 word self-contained answer block for AI citation]
### H2: [Section 2 title]
- Key points to cover
- Comparison table recommended
- Internal link opportunity: [target page]
### [Continue for all required H2/H3 sections...]
### FAQ Section
- Q: [PAA question 1] — A: [brief answer guidance]
- Q: [PAA question 2] — A: [brief answer guidance]
- Q: [PAA question 3] — A: [brief answer guidance]
## Keyword Integration
- **Primary keyword density**: 0.5-1.5%
- **Keyword placement**: Title, H1, first 100 words, 1-2 H2s, meta description
- **Semantic keywords**: [10-15 LSI terms to weave naturally]
- **Entity mentions**: [related entities to reference]
## E-E-A-T Requirements
### Experience
- [ ] Include first-hand experience signals ("In our testing...", "We found that...")
- [ ] Original data, screenshots, or case study results
- [ ] Process documentation or methodology description
### Expertise
- [ ] Author byline with relevant credentials
- [ ] Technical accuracy verified by subject matter expert
- [ ] Up-to-date with current developments (cite recent sources)
### Authoritativeness
- [ ] Cite 3-5 authoritative external sources
- [ ] Reference industry standards or official documentation
- [ ] Include expert quotes where possible
### Trustworthiness
- [ ] Publication date and last-updated date
- [ ] Clear attribution for all claims
- [ ] Transparent about limitations or caveats
## AI Citation Readiness
- [ ] Self-contained answer blocks (134-167 words) for key questions
- [ ] Clear definition patterns ("X is..." / "X refers to...")
- [ ] Specific statistics with sources (AI systems preferentially cite data)
- [ ] Structured comparison tables (AI extracts tabular data effectively)
- [ ] Question-based H2/H3 headings matching search queries
## Multimedia Requirements
- [ ] Hero image (above fold, relevant to topic)
- [ ] [X] supporting images/diagrams (one per major section minimum)
- [ ] Alt text specifications for each image
- [ ] Video embed recommendation: [Yes/No — if yes, what content]
- [ ] Table/chart for comparative data
## Schema Markup
- **Required**: [Article / BlogPosting / Product / etc.]
- **Recommended**: [BreadcrumbList, Person (author), Organization]
- **Optional**: [VideoObject if video included]
- Do NOT use: HowTo (deprecated), FAQ (restricted to gov/health)
## Internal Linking Plan
- **Link TO this page from**: [3-5 existing pages with anchor text]
- **Link FROM this page to**: [3-5 target pages with anchor text]
- **Pillar page connection**: [parent topic hub if part of cluster]
## Competitive Differentiators
What will make this content BETTER than current top results:
1. [Unique angle / data / perspective competitors lack]
2. [More comprehensive coverage of subtopic X]
3. [Better multimedia / interactive elements]
4. [More recent data / updated information]
5. [Stronger E-E-A-T signals]
## Meta Tags
- **Title**: [50-60 chars, includes primary keyword]
- **Meta Description**: [150-160 chars, compelling, includes keyword]
- **URL Slug**: [short, descriptive, hyphenated]
## Success Metrics
- **Target position**: [#1-3 / top 5 / page 1]
- **Target traffic**: [X organic sessions/month within Y months]
- **AI citation goal**: [Cited in AI Overviews / Featured Snippet capture]
- **Engagement targets**: [Engagement rate >X%, avg time >Y min]
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.
- 10d ago First seen · 231 lines · 75 tokens per session scan A 876e71899866
seo-content-brief is a skill published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 6mo ago), licensed MIT. It adds 75 tokens to every session and 2,290 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 2026-08-31.
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