MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Agent skill
Sealeap Chongming Amazon Vine Reviewer Lead Mining
Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across…
MITAuto-check passed
Install Sealeap Chongming Amazon Vine Reviewer Lead Mining
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-chongming-amazon-vine-reviewer-lead-mining -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-chongming-amazon-vine-reviewer-lead-mining --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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining .claude/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining && 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-chongming-amazon-vine-reviewer-lead-mining" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining into .claude/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-chongming-amazon-vine-reviewer-lead-mining", 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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-miningType 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-chongming-amazon-vine-reviewer-lead-mining -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-chongming-amazon-vine-reviewer-lead-mining --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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining .agents/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining && 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-chongming-amazon-vine-reviewer-lead-mining" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining into .agents/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-chongming-amazon-vine-reviewer-lead-mining", 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-chongming-amazon-vine-reviewer-lead-mining -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-chongming-amazon-vine-reviewer-lead-mining --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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining .cursor/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining && 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-chongming-amazon-vine-reviewer-lead-mining" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining into .cursor/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-chongming-amazon-vine-reviewer-lead-mining", 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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining--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-chongming-amazon-vine-reviewer-lead-mining -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-chongming-amazon-vine-reviewer-lead-mining --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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining .gemini/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining && 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-chongming-amazon-vine-reviewer-lead-mining" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining into .gemini/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-chongming-amazon-vine-reviewer-lead-mining", 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-chongming-amazon-vine-reviewer-lead-miningInstalls 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-chongming-amazon-vine-reviewer-lead-mining -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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining .github/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining && 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-chongming-amazon-vine-reviewer-lead-mining" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining into .github/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-chongming-amazon-vine-reviewer-lead-mining", 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-chongming-amazon-vine-reviewer-lead-mining -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-chongming-amazon-vine-reviewer-lead-mining --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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining .opencode/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining && 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-chongming-amazon-vine-reviewer-lead-mining" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining into .opencode/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-chongming-amazon-vine-reviewer-lead-mining", 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-chongming-amazon-vine-reviewer-lead-mining- GitHub stars
- 251
- Token cost
- ~804 tokens
- SKILL.md length
- 182 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across…
- 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。 → …
- Vine 评论反查选品、找刚上架的新品、评论者主页看他评测了什么、新品线索池、少评论产品怎么验证市场
- 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 Chongming Amazon Vine Reviewer Lead Mining is an agent skill from xjli360/sealeap-amazon-skills. Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across products and reviewers to build a candidate pool that is then validated on each main keyword's search results page. Treats Vine presence as a launch-investment signal, not as proof of demand. Use for Vine 评论反查选品、找刚上架的新品、评论者主页看他评测了什么、新品线索池、少评论产品怎么验证市场. Do not use to contact reviewers, solicit reviews, or skip demand…
Its SKILL.md is about 800 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 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
- Vine 评论反查选品、找刚上架的新品、评论者主页看他评测了什么、新品线索池、少评论产品怎么验证市场
- Contact reviewers
- Solicit reviews
- Margin and compliance validation
Example prompts
- “/sealeap-chongming-amazon-vine-reviewer-lead-mining”
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 Chongming Amazon Vine Reviewer Lead Mining loads about 804 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 150 tokens; SKILL.md has 182 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). 182 words, ~804 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-chongming-amazon-vine-reviewer-lead-mining
- description
- Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across products and reviewers to build a candidate pool that is then validated on each main keyword's search results page. Treats Vine presence as a launch-investment signal, not as proof of demand. Use for Vine 评论反查选品、找刚上架的新品、评论者主页看他评测了什么、新品线索池、少评论产品怎么验证市场. Do not use to contact reviewers, solicit reviews, or skip demand, margin and compliance validation.
Amazon Vine 评论者反查新品线索
目标
Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across products and reviewers to build a candidate pool that is then validated on each main keyword's search results page. Treats Vine presence as a launch-investment signal, not as proof of demand.
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。
- 来源假设“用 Vine 的卖家对产品质量有信心”；可验证的事实只是该卖家已完成品牌备案并为新品投入了 Vine，质量与需求仍需独立判断。
- 评论者主页的可见范围与 Vine 标识的展示方式由平台决定，可能变化或受限；无法获取时记录缺口，不用抓取工具绕过。
- 候选来自他人新品，不等于市场已验证；“别人替你测过”只是假设，需求与竞争以主关键词首页观测和第三方估算（标为 ESTIMATE）为准。
- 本 Skill 只读取公开评论与主页信息，不联系评论者、不索评、不采用任何评论操纵手段。
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、类目、价格带、上架时间与运营模式
- 候选品与同购买意图可比样本的销量、评论、价格和上架时间
- 关键词需求、历史趋势、广告依赖、同款密度和品牌集中度
- 采购、头程、平台费、退货、仓储、交期和合规/IP 基础信息
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：
- 选一个评论数较少（便于定位 Vine 评论）的新上架 Listing 作为起点，进入其评论列表，找到带 Vine 标识的评论；记录产品、评论日期与评分分布。
- 打开 Vine 评论者的公开主页，列出其近期评测的其他产品（Vine 评测通常对应刚上架的新品）；逐个记下产品主关键词、当前评论数、是否在售、评分；已停售的只作类目线索。
- 对每个新发现的产品重复第 1–2 步（找它的其他 Vine 评论者→更多产品），形成“产品→评论者→产品”的循环；给每轮设固定时长或候选数上限，避免无限展开。
- 把候选按“新上架且已有销量迹象、评论少、评分不差”排序，并从评论正文归纳买家看重的属性与抱怨点，作为后续差异化输入。
- 对每个候选提取主关键词，在全部类目下搜索，用第三方插件隐藏广告后读取自然结果首页：评论数分布（竞争）与估算销量/销售额（需求）；入选门槛以本账户可承受的评论差距与广告投入校准。
- 入选候选进入排除清单与利润/合规测算；未通过的记录原因；每轮结束汇总新增候选、来源链路与采样时间。
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：获取候选产品的估算销量、评论数与关键词首页供给情况的第三方代理数据。
- 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
- Vine 评论者反查链路记录（起点产品、评论者、发现产品）
- 新品候选池（主关键词、评论数、评分、在售状态）
- 主关键词首页需求/竞争观测表
- 买家看重属性与抱怨点摘要
- 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/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining 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 Chongming Amazon Vine Reviewer Lead Mining 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 Chongming Amazon Vine Reviewer Lead Mining this skillxjli360/sealeap-amazon-skills | 251 | — | ~804 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
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| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
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MCP Development
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
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Questions about Sealeap Chongming Amazon Vine Reviewer Lead Mining
What does Sealeap Chongming Amazon Vine Reviewer Lead Mining do?
Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across…. Sealeap Chongming Amazon Vine Reviewer Lead Mining is an agent skill from xjli360/sealeap-amazon-skills. Discover recently launched products by starting from a low-review listing, locating its Vine reviews, opening those reviewers' public profiles to list other Vine-reviewed items, and looping across products and reviewers to build a candidate pool that is then validated on each main keyword's search results page.
When should I use Sealeap Chongming Amazon Vine Reviewer Lead Mining?
Sealeap Chongming Amazon Vine Reviewer Lead Mining fits situations like: vine 评论反查选品、找刚上架的新品、评论者主页看他评测了什么、新品线索池、少评论产品怎么验证市场; contact reviewers; solicit reviews; margin and compliance validation.
How do I install Sealeap Chongming Amazon Vine Reviewer Lead Mining in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-chongming-amazon-vine-reviewer-lead-mining -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Chongming Amazon Vine Reviewer Lead Mining in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-chongming-amazon-vine-reviewer-lead-mining -a codex`. Or copy the skill folder (amazon-skills/bilibili/chongming/sealeap-chongming-amazon-vine-reviewer-lead-mining in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining in your project. Codex loads it when a task matches its description.
Can I use Sealeap Chongming Amazon Vine Reviewer Lead Mining 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-chongming-amazon-vine-reviewer-lead-mining -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-chongming-amazon-vine-reviewer-lead-mining, .gemini/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining, .github/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining and .opencode/skills/sealeap-chongming-amazon-vine-reviewer-lead-mining in your project.
What does Sealeap Chongming Amazon Vine Reviewer Lead Mining need to run?
Going by SKILL.md and its folder, Sealeap Chongming Amazon Vine Reviewer Lead Mining needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Chongming Amazon Vine Reviewer Lead Mining 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 Chongming Amazon Vine Reviewer Lead Mining 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 Chongming Amazon Vine Reviewer Lead Mining use?
Sealeap Chongming Amazon Vine Reviewer Lead Mining 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 Chongming Amazon Vine Reviewer Lead Mining use?
About 804 tokens (SKILL.md is roughly 3.2k 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 Chongming Amazon Vine Reviewer Lead Mining?
Skills that share tags, products or a category with Sealeap Chongming Amazon Vine Reviewer Lead Mining: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Chongming Amazon Vine Reviewer Lead Mining?
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.