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 agentmods add skills/nicepkg/ai-workflow/serp-analysisnpx skills add nicepkg/ai-workflow --skill serp-analysisgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/serp-analysis)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/serp-analysis"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/serp-analysis.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00957 |
| Opus 5 | $0.00014 | $0.00478 |
| Sonnet 5 | $0.00006 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
serp-analysis 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 yesterday.
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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SERP Analysis
When to Use
- Analyzing search results for a keyword
- Classifying search intent
- Identifying SERP feature opportunities
- Competitive intelligence gathering
Intent Classification
Intent Types
| Intent | SERP Signals | User Goal | Content Format |
|---|---|---|---|
| Informational | Wikipedia, knowledge panels, "what is" queries | Learn something | Guide, tutorial, explainer |
| Commercial | Reviews, comparisons, "best X" queries | Compare options | Comparison, listicle, review |
| Transactional | Product pages, shopping results, "buy X" | Purchase something | Product page, pricing |
| Navigational | Brand homepage, login pages | Find specific site | Homepage, login page |
Classification Process
- Search the keyword using WebSearch
- Analyze result types:
- All informational = Informational intent
- Mix of reviews/comparisons = Commercial intent
- Product pages dominant = Transactional intent
- Single brand dominant = Navigational intent
- Check for mixed intent (common for broad keywords)
- Note confidence level (% of results supporting classification)
SERP Features
Feature Identification
| Feature | How to Identify | Optimization Strategy |
|---|---|---|
| Featured Snippet | Box at top with answer | Direct answer in first 100 words |
| People Also Ask | Expandable question boxes | FAQ section, answer common questions |
| Image Pack | Row of images | High-quality images with alt text |
| Video Results | YouTube thumbnails | Create video content |
| Local Pack | Map with business listings | GMB optimization, location pages |
| Knowledge Panel | Right sidebar info box | Schema markup, Wikipedia presence |
| Sitelinks | Sub-links under main result | Clear site structure, internal linking |
Featured Snippet Types
| Type | Format | How to Optimize |
|---|---|---|
| Paragraph | Text block | 40-60 word direct answer |
| List | Numbered/bulleted list | Use ordered/unordered lists |
| Table | Data table | Use HTML tables |
| Video | YouTube embed | Create relevant video content |
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.
- yesterday First seen · 116 lines · 28 tokens per session scan A ab5d93d3bf5b
serp-analysis is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 957 once invoked, about $0.0001 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 2026-09-03.
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