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 5.5 | $0.00022 | $0.00450 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (56 stars, last pushed 7mo ago), licensed MIT. It adds 54 tokens to every session and 1,125 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 2026-08-30.
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