Evaluate Skill
every-app/open-seo
Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save.
亚马逊关键词深度调研与智能分类分析。基于 Sorftime MCP 数据采集 2000+ 关键词，通过 LLM Agent 按 8 维度智能分类（否定词、品牌词、材质词、场景词、属性词、功能词、核心词、其他），生成 Markdown 报告、CSV 词库和 HTML 仪表板。触发方式：/keyword-research {ASIN} {SITE}
Install Keyword Research
$ npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill keyword-research --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/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLS/skills/keyword-research .claude/skills/keyword-research && 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 "keyword-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-research into .claude/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", 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/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-researchType 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill keyword-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLS/skills/keyword-research .agents/skills/keyword-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "keyword-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-research into .agents/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill keyword-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLS/skills/keyword-research .cursor/skills/keyword-research && 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 "keyword-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-research into .cursor/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", 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/liangdabiao/amazon-sorftime-research-MCP-skill.git --path SKILLS/skills/keyword-research--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 liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill keyword-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLS/skills/keyword-research .gemini/skills/keyword-research && 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 "keyword-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-research into .gemini/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", 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 liangdabiao/amazon-sorftime-research-MCP-skill keyword-researchInstalls 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLS/skills/keyword-research .github/skills/keyword-research && 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 "keyword-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-research into .github/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill keyword-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLS/skills/keyword-research .opencode/skills/keyword-research && 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 "keyword-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/keyword-research into .opencode/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", 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
keyword-research- GitHub stars
- 959
- Token cost
- ~2.6k tokens
- SKILL.md length
- 461 words
- Files
- 17 (incl. scripts, references)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- None found
At a glance
亚马逊关键词深度调研与智能分类分析。基于 Sorftime MCP 数据采集 2000+ 关键词，通过 LLM Agent 按 8 维度智能分类（否定词、品牌词、材质词、场景词、属性词、功能词、核心词、其他），生成 Markdown 报告、CSV 词库和 HTML 仪表板。触发方式：/keyword-research {ASIN} {SITE}
- Works in 4 steps: 1: 获取产品流量词 → 2: 获取竞品布局词 → 3: 获取类目核心词 → …
- Tasks that involve Keyword research
- SKILL.md covers 快速参考, 触发条件, 角色设定 and 数据采集策略：方案 A（基于 ASIN 的深度分析）, plus 9 more sections
- Runs Python scripts from its folder; calls python and curl; reaches mcp.sorftime.com; needs API_KEY
What it does
Keyword Research is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill. 亚马逊关键词深度调研与智能分类分析。基于 Sorftime MCP 数据采集 2000+ 关键词，通过 LLM Agent 按 8 维度智能分类（否定词、品牌词、材质词、场景词、属性词、功能词、核心词、其他），生成 Markdown 报告、CSV 词库和 HTML 仪表板。触发方式：/keyword-research {ASIN} {SITE}
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts and reference files (for example `README.md`, `references/api-tools-reference.md` and `references/report-management.md`).
It sits in Marketing & SEO, covering Keyword research. It works with Model Context Protocol. The repository describes itself as: 亚马逊选品 之 Listing全维度穿透分析报告 加上 全品类分析 ，关键词分析，差评分析 ，市场调研 等等。codex/claude code agent skill, amazon sorftime MCP/西柚mcp/sif mcp/卖家精灵sellersprite 智能体skill. 亚马逊跨境电商skill工具集。
When your agent uses it
- Tasks that involve Keyword research
Example prompts
- “/keyword-research”
Requirements
- Python 3
- A credential in API_KEY
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- 1: 获取产品流量词
- 2: 获取竞品布局词
- 3: 获取类目核心词
- 4: 长尾词扩展
What it can do on your machine
Read from SKILL.md and the folder at commit 568be29. 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
Ships 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythoncurl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
mcp.sorftime.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Keyword Research loads about 2.6k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 461 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 461 words (~2,598 tokens).
- name
- keyword-research
Files
SKILL.md and 16 other files (scripts, references) in SKILLS/skills/keyword-research of liangdabiao/amazon-sorftime-research-MCP-skill.
- SKILL.md
- README.md
- references/api-tools-reference.md
- references/report-management.md
- references/sorftime-mcp-api.md
- references/sorftime_mcp文档.txt
- scripts/csv_generator.py
- scripts/data_parser.py
- scripts/generate_html_dashboard.py
- scripts/generate_markdown_report.py
- scripts/keyword_collector.py
- scripts/regen_md_html.py
- scripts/regenerate_reports.py
- scripts/test_html_gen.py
- scripts/test_load_classify.py
- scripts/workflow.py
- templates/dashboard_template.html
Open the folder on GitHubat commit 568be29
Compare with similar skills
Keyword Research 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 |
|---|---|---|---|---|---|---|
| Keyword Research this skillliangdabiao/amazon-sorftime-research-MCP-skill | 959 | — | ~2.6k | Automated safety check: Pass | None | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor GapRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~560 | Automated safety check: Pass | MIT | |
| 90 Day SEO SprintBomx/distribb-skill | 197 | — | ~3.6k | Automated safety check: Pass | None | |
| Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Keyword Research
What does Keyword Research do?
亚马逊关键词深度调研与智能分类分析。基于 Sorftime MCP 数据采集 2000+ 关键词，通过 LLM Agent 按 8 维度智能分类（否定词、品牌词、材质词、场景词、属性词、功能词、核心词、其他），生成 Markdown 报告、CSV 词库和 HTML 仪表板。触发方式：/keyword-research {ASIN} {SITE}. Keyword Research is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill.
When should I use Keyword Research?
Keyword Research fits situations like: tasks that involve Keyword research.
How do I install Keyword Research in Claude Code?
Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a claude-code`. Or copy the skill folder (SKILLS/skills/keyword-research in liangdabiao/amazon-sorftime-research-MCP-skill) into .claude/skills/keyword-research in your project. Claude Code loads it when a task matches its description.
How do I install Keyword Research in Codex?
Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a codex`. Or copy the skill folder (SKILLS/skills/keyword-research in liangdabiao/amazon-sorftime-research-MCP-skill) into .agents/skills/keyword-research in your project. Codex loads it when a task matches its description.
Can I use Keyword Research 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill keyword-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keyword-research, .gemini/skills/keyword-research, .github/skills/keyword-research and .opencode/skills/keyword-research in your project.
What does Keyword Research need to run?
Going by SKILL.md and its folder, Keyword Research needs Python for the scripts in its folder, the command-line tools its instructions call (python and curl) and credentials named API_KEY. Our summary lists: Python 3; A credential in API_KEY.
Does Keyword Research access the network?
SKILL.md names 1 domain. In commands or code: mcp.sorftime.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Keyword Research 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Keyword Research use?
No licence was found for Keyword Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Keyword Research use?
About 2.6k tokens (SKILL.md is roughly 10k 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 8.4k tokens, read only when the agent opens those files.
What are the alternatives to Keyword Research?
Skills that share tags, products or a category with Keyword Research: Evaluate Skill (every-app/open-seo, 23k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Gap (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars) and 90 Day SEO Sprint (Bomx/distribb-skill, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Keyword Research?
liangdabiao (a GitHub user) maintains it in liangdabiao/amazon-sorftime-research-MCP-skill, which has 959 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 9, 2026.
Source: liangdabiao/amazon-sorftime-research-MCP-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.