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.
Agent skill
Sealeap Fenghuang Amazon New Seller Launch Path
Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each…
Install Sealeap Fenghuang Amazon New Seller Launch Path
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-new-seller-launch-path --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/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path .claude/skills/sealeap-fenghuang-amazon-new-seller-launch-path && 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 "sealeap-fenghuang-amazon-new-seller-launch-path" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path into .claude/skills/sealeap-fenghuang-amazon-new-seller-launch-path/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-fenghuang-amazon-new-seller-launch-path", 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/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-pathType 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 xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-new-seller-launch-path --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path .agents/skills/sealeap-fenghuang-amazon-new-seller-launch-path && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-fenghuang-amazon-new-seller-launch-path" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path into .agents/skills/sealeap-fenghuang-amazon-new-seller-launch-path/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-fenghuang-amazon-new-seller-launch-path", 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 xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-new-seller-launch-path --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path .cursor/skills/sealeap-fenghuang-amazon-new-seller-launch-path && 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 "sealeap-fenghuang-amazon-new-seller-launch-path" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path into .cursor/skills/sealeap-fenghuang-amazon-new-seller-launch-path/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-fenghuang-amazon-new-seller-launch-path", 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/xjli360/sealeap-amazon-skills.git --path amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path--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 xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-new-seller-launch-path --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path .gemini/skills/sealeap-fenghuang-amazon-new-seller-launch-path && 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 "sealeap-fenghuang-amazon-new-seller-launch-path" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path into .gemini/skills/sealeap-fenghuang-amazon-new-seller-launch-path/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-fenghuang-amazon-new-seller-launch-path", 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 xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-new-seller-launch-pathInstalls 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 xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path .github/skills/sealeap-fenghuang-amazon-new-seller-launch-path && 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 "sealeap-fenghuang-amazon-new-seller-launch-path" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path into .github/skills/sealeap-fenghuang-amazon-new-seller-launch-path/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-fenghuang-amazon-new-seller-launch-path", 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 xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-new-seller-launch-path --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path .opencode/skills/sealeap-fenghuang-amazon-new-seller-launch-path && 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 "sealeap-fenghuang-amazon-new-seller-launch-path" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path into .opencode/skills/sealeap-fenghuang-amazon-new-seller-launch-path/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-fenghuang-amazon-new-seller-launch-path", 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
sealeap-fenghuang-amazon-new-seller-launch-path- GitHub stars
- 251
- Token cost
- ~752 tokens
- SKILL.md length
- 158 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each…
- Works in 4 steps: 诊断：读取现状、证据和缺口，不生成线上写入动作。 → 方案草案：输出可审核的结构、参数范围、实验和回退值。 → 执行准备：只生成待批准变更表或 API/控制台操作草案。 → …
- 新手怎么开始做亚马逊、开户选哪个计划、从零到上架流程、第一款产品怎么落地、启动顺序检查
- SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
- Runs Python scripts from its folder
What it does
Sealeap Fenghuang Amazon New Seller Launch Path is an agent skill from xjli360/sealeap-amazon-skills. Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each with the evidence required before moving on. Defaults to US but flags the marketplace-specific fee and policy checks needed elsewhere. Use for 新手怎么开始做亚马逊、开户选哪个计划、从零到上架流程、第一款产品怎么落地、启动顺序检查. Do not use to replace category-specific compliance review or to promise ranking outcomes.
Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It sits in Product & Project Management, covering Keyword research and Regulatory compliance. It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
When your agent uses it
- 新手怎么开始做亚马逊、开户选哪个计划、从零到上架流程、第一款产品怎么落地、启动顺序检查
- Replace category-specific compliance review
- Promise ranking outcomes
Example prompts
- “/sealeap-fenghuang-amazon-new-seller-launch-path”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
What it can do on your machine
Read from SKILL.md and the folder at commit 497d4b8. 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 1 file in scripts/ (Python), which the agent can run.
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
Sealeap Fenghuang Amazon New Seller Launch Path loads about 752 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 158 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
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 158 words, ~752 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-fenghuang-amazon-new-seller-launch-path/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-fenghuang-amazon-new-seller-launch-path
- description
- Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each with the evidence required before moving on. Defaults to US but flags the marketplace-specific fee and policy checks needed elsewhere. Use for 新手怎么开始做亚马逊、开户选哪个计划、从零到上架流程、第一款产品怎么落地、启动顺序检查. Do not use to replace category-specific compliance review or to promise ranking outcomes.
Amazon 新卖家开户到首发启动路径
目标
Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each with the evidence required before moving on. Defaults to US but flags the marketplace-specific fee and policy checks needed elsewhere.
不可妥协的边界
- 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
- 第三方数据一律标为估算或前台观测，不得写成 Amazon 一方事实。
- 默认只读诊断和草案；任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
- 一次实验只改变一个主要变量，并记录基线、样本、成功、停止和回退条件。
- 不得复制来源材料或竞品表达；输出必须按当前任务重新组织并可由现有证据支撑。
- 来源以「Amazon 是搜索引擎、头部位置拿走绝大多数销量」为出发点，可作经验假设，但位置与销量的分布要用当前类目数据观察，不当作固定规律。
- 「搜索量高且无对应产品」可能是需求真空，也可能是该品无法合规销售或搜索词本身有歧义；必须交叉验证。
- 「首发拿到大量订单就会被推上排名」是来源对平台机制的解释，只能作待验证假设；不采用任何刷单或操纵评论的手段。
- 各站点账户计划费用、佣金与品类政策随时间变化，一律以当前官方页面为准。
先判断任务模式
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
用户未指定时采用“诊断”。
开始前要拿到
- 目标 marketplace 与案例 ASIN 的明确时间范围
- 销量、评论、价格、促销、变体和上架时间线
- 关键词自然/广告可见度、品牌与站外流量代理证据
- 可复核来源、数据口径、缺失项和替代解释
缺失项必须标为 NEEDS_EVIDENCE；不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。
工作流
先读取 references/playbook.md，确认该方法适用于当前对象。按以下顺序执行：
- 确认 marketplace（默认 US）与经营主体资料；比较按件收费计划与月费计划时，用预计月销量乘以按件费与月费对照，一律以当前站点费用表为准，不套用来源年份的价格。
- 用关键词工具类别做需求缺口扫描：找搜索量稳定、但搜索结果里缺少精准匹配产品的短语；把「有需求无供给」写成假设，再用前台搜索结果与近似品销量估算验证，而不是只看工具给出的机会评分。
- 按品类决定供应链路径：消耗品、入口类等合规敏感品优先考虑本土制造商数据库，通用品可走海外 B2B 采购平台；记录样品费、起订量、交期与是否能协助直发入仓。
- 在货到之前先建好 Listing 骨架（标题、主图、副图、五点、描述），并确认品类是否需要审核或资质；Listing 存在是后续品牌备案、广告与入仓货件的前提。
- 把首发周设为「集中出单」阶段：提前准备广告、站外触达与充足库存，让早期销售与转化数据尽量集中；具体节奏以当前账户数据校准。
- 为每个阶段设停止条件：需求验证不通过则回到缺口扫描；样品不合格或交期超出资金承受范围则换供应商；上架审核未通过不得先发货入仓。
最后做数据充分性检查，并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足，状态写 HOLD。
第三方 MCP 数据
仅在自有数据不足且当前任务确实需要外部证据时，读取 references/mcp-data-plan.md，再使用 scripts/mcp_research.py。本 Skill 的外部取数目的：获取候选短语的搜索需求与前台搜索结果供给情况的代理观测。
- 先
doctor，再search-tools和describe；工具名及参数以实时tools/list与inputSchema为准。 - Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
tools/call或 Actor 可能计费；先展示 Provider、工具、无密钥业务参数、预计成本与输出位置，核对已有授权覆盖后才加--allow-cost；该标志不是费用上限。
必须交付的结果
- 启动阶段清单与门槛
- 计划选择对比表
- 需求缺口候选表
- 供应链路径记录
- 首发周准备检查表
- 数据范围、来源、采集时间、样本与限制。
- 关键假设、待补证据、风险和不可确定项。
- 若有动作：对象、旧值、新值、预期、停止条件、回退值与审批状态。
方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP；如已执行，另行记录实际结果及回读证据。未得到明确批准时，不得声称已修改线上对象。
© xjli360, MIT. 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 4 other files (scripts, references) in amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- references/playbook.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Fenghuang Amazon New Seller Launch Path 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 |
|---|---|---|---|---|---|---|
| Sealeap Fenghuang Amazon New Seller Launch Path this skillxjli360/sealeap-amazon-skills | 251 | — | ~752 | Automated safety check: Pass | MIT | |
| 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 | |
| SEO SxoAgriciDaniel/codex-seo | 799 | 2 repos | ~2.9k | 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 |
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Applies the AI SAFE2 framework to security reviews, code reviews and compliance mapping for AI agents, RAG pipelines and MCP servers.
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Questions about Sealeap Fenghuang Amazon New Seller Launch Path
What does Sealeap Fenghuang Amazon New Seller Launch Path do?
Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each…. Sealeap Fenghuang Amazon New Seller Launch Path is an agent skill from xjli360/sealeap-amazon-skills. Sequence a first Amazon FBA launch on the US marketplace into gated stages—seller plan choice, keyword-gap product discovery, supplier sourcing, listing creation, and launch-week sales focus—each with the evidence required before moving on.
When should I use Sealeap Fenghuang Amazon New Seller Launch Path?
Sealeap Fenghuang Amazon New Seller Launch Path fits situations like: 新手怎么开始做亚马逊、开户选哪个计划、从零到上架流程、第一款产品怎么落地、启动顺序检查; replace category-specific compliance review; promise ranking outcomes.
How do I install Sealeap Fenghuang Amazon New Seller Launch Path in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a claude-code`. Or copy the skill folder (amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-fenghuang-amazon-new-seller-launch-path in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Fenghuang Amazon New Seller Launch Path in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a codex`. Or copy the skill folder (amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-new-seller-launch-path in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-fenghuang-amazon-new-seller-launch-path in your project. Codex loads it when a task matches its description.
Can I use Sealeap Fenghuang Amazon New Seller Launch Path 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 xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-new-seller-launch-path -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-fenghuang-amazon-new-seller-launch-path, .gemini/skills/sealeap-fenghuang-amazon-new-seller-launch-path, .github/skills/sealeap-fenghuang-amazon-new-seller-launch-path and .opencode/skills/sealeap-fenghuang-amazon-new-seller-launch-path in your project.
What does Sealeap Fenghuang Amazon New Seller Launch Path need to run?
Going by SKILL.md and its folder, Sealeap Fenghuang Amazon New Seller Launch Path needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Fenghuang Amazon New Seller Launch Path 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 Sealeap Fenghuang Amazon New Seller Launch Path 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 Sealeap Fenghuang Amazon New Seller Launch Path use?
Sealeap Fenghuang Amazon New Seller Launch Path is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sealeap Fenghuang Amazon New Seller Launch Path use?
About 752 tokens (SKILL.md is roughly 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 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Fenghuang Amazon New Seller Launch Path?
Skills that share tags, products or a category with Sealeap Fenghuang Amazon New Seller Launch Path: Evaluate Skill (every-app/open-seo, 23k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), SEO Sxo (AgriciDaniel/codex-seo, 799 stars) and Competitor Gap (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Fenghuang Amazon New Seller Launch Path?
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.