Serp Analyzer
OpenClaudia/openclaudia-skills
Analyze Google search results (SERP) for any keyword. An agent skill from OpenClaudia/openclaudia-skills.
Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO.
Install Serp Analysis
$ npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sandbaseai/sandbase-skills serp-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/serp-analysis .claude/skills/serp-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "serp-analysis" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysis into .claude/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sandbaseai/sandbase-skills serp-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/research/serp-analysis .agents/skills/serp-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysis into .agents/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sandbaseai/sandbase-skills serp-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/research/serp-analysis .cursor/skills/serp-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "serp-analysis" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysis into .cursor/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sandbaseai/sandbase-skills.git --path research/serp-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sandbaseai/sandbase-skills serp-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/research/serp-analysis .gemini/skills/serp-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysis into .gemini/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sandbaseai/sandbase-skills serp-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/research/serp-analysis .github/skills/serp-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysis into .github/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sandbaseai/sandbase-skills serp-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/research/serp-analysis .opencode/skills/serp-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/serp-analysis into .opencode/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
serp-analysis- GitHub stars
- 201
- Token cost
- ~585 tokens
- SKILL.md length
- 247 words
- Files
- 2 (incl. references)
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO.
- Works in 2 steps: Inspect organic SERP → Discover related queries
- Asked for SERP analysis
- SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Serp Analysis is an agent skill from sandbaseai/sandbase-skills. Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO. Use when asked for SERP analysis, Google ranking research, search feature identification, or organic visibility assessment.
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sandbase-api-map.md`).
It sits in Marketing & SEO, covering Keyword research and Web search. The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.
When your agent uses it
- Asked for SERP analysis
- Google ranking research
- Search feature identification
- Organic visibility assessment
Example prompts
- “/serp-analysis”
Workflow steps
2 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Serp Analysis loads about 585 tokens when it runs, and up to ~846 if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 247 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 247 words, ~585 tokens.
Download SKILL.mdSave it as
.claude/skills/serp-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- serp-analysis
- description
- Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO. Use when asked for SERP analysis, Google ranking research, search feature identification, or organic visibility assessment.
SERP Analysis
Google Search Engine Results Page analysis through SandBase. Inspect live organic rankings, identify SERP features, discover related searches, and analyze autocomplete suggestions. Read the API map before selecting a capability.
Call SandBase capabilities
Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.
Operating principles
- SERP data is a snapshot — rankings change. Note the observation timestamp.
- Distinguish organic results from paid, featured snippets, and other SERP features.
- Specify country, language, and device for accurate results.
- Use related searches and autocomplete for query expansion research.
Workflow
1. Inspect organic SERP
Use dataforseo_v3_serp_google_organic_live_advanced to get live organic results for a query.
2. Discover related queries
Use dataforseo_v3_serp_google_related_searches_live_advanced to find related searches.
Use dataforseo_v3_serp_google_autocomplete_live_advanced for autocomplete suggestions.
Output
Return: top organic results (title, URL, position, SERP features), featured snippets, People Also Ask, related searches, and competitive analysis.
Example tasks
- "What's ranking on page 1 of Google for [keyword] in the US?"
- "What SERP features appear for [keyword]? (featured snippet, videos, images, PAA)"
- "Find Google autocomplete suggestions for [seed keyword]."
- "What related searches does Google show for [query]?"
- "Compare the SERP for [keyword A] vs [keyword B] — who ranks for both?"
© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in research/serp-analysis of sandbaseai/sandbase-skills.
- SKILL.md
- references/sandbase-api-map.md
Open the folder on GitHubat commit cbab581
Compare with similar skills
Serp Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Serp Analysis this skillsandbaseai/sandbase-skills | 201 | — | ~585 | Automated safety check: Pass | Apache-2.0 | |
| Serp AnalyzerOpenClaudia/openclaudia-skills | 711 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Google Search Ads Buildergooseworks-ai/goose-skills | 1.2k | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Money SEOiamzifei/show-me-the-money | 1k | — | ~4.4k | Automated safety check: Pass | Custom licence | |
| Omk ResearchKaimingWan/oh-my-kiro | 107 | — | ~827 | Automated safety check: Pass | MIT | |
| Geo Diag Reportinfometa/workbuddyskills | 344 | — | ~1.7k | Automated safety check: Notes | None |
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Related
Categories
Questions about Serp Analysis
What does Serp Analysis do?
Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO. Serp Analysis is an agent skill from sandbaseai/sandbase-skills. Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO.
When should I use Serp Analysis?
Serp Analysis fits situations like: asked for SERP analysis; google ranking research; search feature identification; organic visibility assessment.
How do I install Serp Analysis in Claude Code?
Run `npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a claude-code`. Or copy the skill folder (research/serp-analysis in sandbaseai/sandbase-skills) into .claude/skills/serp-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Serp Analysis in Codex?
Run `npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a codex`. Or copy the skill folder (research/serp-analysis in sandbaseai/sandbase-skills) into .agents/skills/serp-analysis in your project. Codex loads it when a task matches its description.
Can I use Serp Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill serp-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serp-analysis, .gemini/skills/serp-analysis, .github/skills/serp-analysis and .opencode/skills/serp-analysis in your project.
What does Serp Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Serp Analysis is instructions for the agent only.
Does Serp Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Serp Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Serp Analysis use?
Serp Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Serp Analysis use?
About 585 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 261 tokens, read only when the agent opens those files.
What are the alternatives to Serp Analysis?
Skills that share tags, products or a category with Serp Analysis: Serp Analyzer (OpenClaudia/openclaudia-skills, 711 stars), Google Search Ads Builder (gooseworks-ai/goose-skills, 1.2k stars), Money SEO (iamzifei/show-me-the-money, 1k stars) and Omk Research (KaimingWan/oh-my-kiro, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Serp Analysis?
sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 201 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 26, 2026.
Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.