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 norahe0304-art/30x-seo --skill 30x-seo-content-briefgit clone --depth 1 https://github.com/norahe0304-art/30x-seoWrote 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/norahe0304-art/30x-seo/30x-seo-content-brief)<a href="https://agentmods.dev/skills/norahe0304-art/30x-seo/30x-seo-content-brief"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-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/norahe0304-art/30x-seo/30x-seo-content-brief"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-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 | $0.00054 | $0.01125 |
| Opus 5 | $0.00027 | $0.00562 |
| Sonnet 5 | $0.00011 | $0.00225 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
30x-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 13d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Brief Generator
SERP Analysis → Content Brief → Outrank Competition
Goal
Not rewriting competitors, but analyzing them to write better content.
| Wrong Approach | Right Approach |
|---|---|
| Rewrite Top 10 articles | Analyze Top 10 intent |
| Copy content structure | Find gaps (what they missed) |
| Merge competitor content | Outperform (add original data/cases) |
Workflow
Step 1: SERP Scraping
Input: Target keyword
↓
Scrape Top 10 results:
- Title
- URL
- Meta description
- Page content (H1, H2, H3 structure)
- Word count
- Content type (listicle, how-to, guide, comparison, etc.)
Step 2: Intent Analysis
| Dimension | Description |
|---|---|
| Search Intent | Informational / Commercial / Transactional / Navigational |
| Content Format | 90% are listicles? You should write a listicle too |
| Content Depth | Average word count? Exceed the average |
| SERP Features | Featured Snippet? PAA? Video? |
Step 3: Topic Extraction
Extract common topics covered by Top 10:
Example keyword: "how to start a podcast"
Top 10 coverage:
✓ Equipment selection (10/10)
✓ Recording software (9/10)
✓ Hosting platforms (8/10)
✓ Cover design (7/10)
✓ Promotion strategy (6/10)
Rule: Topics covered by >50% = must include
Step 4: Gap Analysis
Find content competitors don't cover or cover poorly:
Gap opportunities:
- 2024 AI tool recommendations (only 2/10 mention)
- Monetization strategies (most skim over)
- Real cost breakdown (no specific numbers)
- Common failure reasons (few cover negative angle)
Rule: Gaps = your differentiation opportunity
Step 5: Brief Generation
Output Format: Content Brief
# Content Brief: [Target Keyword]
## Search Intent
[Informational/Commercial/etc.] - [One sentence describing what users want]
## Content Format
Recommended: [Listicle / How-to Guide / Comparison / etc.]
Reason: X/10 of Top 10 use this format
## Target Word Count
Minimum: [Top 10 average word count]
Recommended: [Average + 20%] to outperform competition
## Must-Have Topics
| Topic | Coverage | Suggested Depth |
|-------|----------|-----------------|
| [Topic 1] | 10/10 | Detailed |
| [Topic 2] | 9/10 | Detailed |
| [Topic 3] | 8/10 | Medium |
## Gap Opportunities (Differentiators)
| Gap | Why It's an Opportunity | Suggested Angle |
|-----|-------------------------|-----------------|
| [Gap 1] | Only 2/10 mention | [Specific suggestion] |
| [Gap 2] | Shallow coverage | [Specific suggestion] |
## Recommended H2 Structure
1. [H2 Title] - Covers [Topic]
2. [H2 Title] - Covers [Topic]
3. [H2 Title] - Gap opportunity: [Gap]
4. ...
## E-E-A-T Recommendations
- **Experience**: Add [specific suggestion, e.g., real case/screenshots]
- **Expertise**: Cite [data sources/expert opinions]
- **Original Value**: [What can you provide that competitors don't]
## SERP Feature Opportunities
- [ ] Featured Snippet: [Opportunity exists? Format suggestion]
- [ ] PAA: [Related questions list]
- [ ] Video: [Video needed?]
## Internal Link Suggestions
- Link to: [Related existing pages]
- Get links from: [Which pages should link to this article]
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.
- 13d ago First seen · 179 lines · 54 tokens per session scan A e7b3eed7f830
30x-seo-content-brief is a skill published in the GitHub repository norahe0304-art/30x-seo (51 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 1,125 once invoked, about $0.0003 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
local-falcon
Expert guidance on AI Visibility and Local SEO from Local Falcon, the pioneer of geo-grid rank tracking. Provides deep knowledge on optimizing for AI search platforms (ChatGPT, Gemini, AI Mode, AI Overviews, Grok), local pack rankings, Google Business Profile optimization, and actionable strategies for agencies…
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.