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 Hundun Amazon Competitor Scorecard Matrix
Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity…
MITAuto-check passed
Install Sealeap Hundun Amazon Competitor Scorecard Matrix
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-competitor-scorecard-matrix -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-competitor-scorecard-matrix --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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix .claude/skills/sealeap-hundun-amazon-competitor-scorecard-matrix && 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-hundun-amazon-competitor-scorecard-matrix" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix into .claude/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-competitor-scorecard-matrix", 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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrixType 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-hundun-amazon-competitor-scorecard-matrix -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-competitor-scorecard-matrix --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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix .agents/skills/sealeap-hundun-amazon-competitor-scorecard-matrix && 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-hundun-amazon-competitor-scorecard-matrix" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix into .agents/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-competitor-scorecard-matrix", 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-hundun-amazon-competitor-scorecard-matrix -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-competitor-scorecard-matrix --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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix .cursor/skills/sealeap-hundun-amazon-competitor-scorecard-matrix && 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-hundun-amazon-competitor-scorecard-matrix" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix into .cursor/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-competitor-scorecard-matrix", 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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix--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-hundun-amazon-competitor-scorecard-matrix -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-competitor-scorecard-matrix --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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix .gemini/skills/sealeap-hundun-amazon-competitor-scorecard-matrix && 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-hundun-amazon-competitor-scorecard-matrix" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix into .gemini/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-competitor-scorecard-matrix", 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-hundun-amazon-competitor-scorecard-matrixInstalls 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-hundun-amazon-competitor-scorecard-matrix -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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix .github/skills/sealeap-hundun-amazon-competitor-scorecard-matrix && 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-hundun-amazon-competitor-scorecard-matrix" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix into .github/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-competitor-scorecard-matrix", 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-hundun-amazon-competitor-scorecard-matrix -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-hundun-amazon-competitor-scorecard-matrix --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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix .opencode/skills/sealeap-hundun-amazon-competitor-scorecard-matrix && 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-hundun-amazon-competitor-scorecard-matrix" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix into .opencode/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-competitor-scorecard-matrix", 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-hundun-amazon-competitor-scorecard-matrix- GitHub stars
- 251
- Token cost
- ~843 tokens
- SKILL.md length
- 154 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity…
- 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。 → …
- 竞品数据该收集哪些维度、怎么判断一个爆款是不是靠广告砸出来的、怎么看历史降价识别冲量、选品评分表怎么搭
- 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 Hundun Amazon Competitor Scorecard Matrix is an agent skill from xjli360/sealeap-amazon-skills. Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity weight, ad presence, organic-traffic share, landed cost and margin, and price-history-flagged promotion-inflated volume, to score candidate products instead of copying the single best-looking listing. Use for 竞品数据该收集哪些维度、怎么判断一个爆款是不是靠广告砸出来的、怎么看历史降价识别冲量、选品评分表怎么搭. Do not use to justify entering a category solely because…
Its SKILL.md is about 840 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
- 竞品数据该收集哪些维度、怎么判断一个爆款是不是靠广告砸出来的、怎么看历史降价识别冲量、选品评分表怎么搭
- Justify entering a category solely because one listing looks good
- Treat a single metric as sufficient evidence without cross-checking ad dependency and price history
Example prompts
- “/sealeap-hundun-amazon-competitor-scorecard-matrix”
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 Hundun Amazon Competitor Scorecard Matrix loads about 843 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 174 tokens; SKILL.md has 154 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). 154 words, ~843 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-hundun-amazon-competitor-scorecard-matrix/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-hundun-amazon-competitor-scorecard-matrix
- description
- Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity weight, ad presence, organic-traffic share, landed cost and margin, and price-history-flagged promotion-inflated volume, to score candidate products instead of copying the single best-looking listing. Use for 竞品数据该收集哪些维度、怎么判断一个爆款是不是靠广告砸出来的、怎么看历史降价识别冲量、选品评分表怎么搭. Do not use to justify entering a category solely because one listing looks good, or to treat a single metric as sufficient evidence without cross-checking ad dependency and price history.
Amazon 竞品多维度选品评分表
目标
Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity weight, ad presence, organic-traffic share, landed cost and margin, and price-history-flagged promotion-inflated volume, to score candidate products instead of copying the single best-looking listing.
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。
- 来源给出的各维度重要性排序基于特定类目经验，实际权重需按目标类目重新判断，不能整表套用到所有品类。
- 评论数多但成交少代表是老链接、评论少但成交多代表是新起链接是来源的经验推断，实际情况还受平台评论展示规则与数据口径影响，需结合月销量与上架时间等其他信号交叉验证。
- 广告投放力度与花费均为第三方工具的估算或前台观测，不是平台一方数据，应标注为估算并结合自身广告后台数据校准。
- 历史价格骤降或评论异常波动只是需要进一步核实的风险信号，不能仅凭这一项就断定对照产品存在违规操作。
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：
- 按类目规模确定采样范围：抓取该类目搜索结果前列的一批 Listing 作为对照池，类目越大采样越多；逐个记录以下维度，缺项标注待补充而非留空猜测。
- 内容维度：主图/副图风格与数量、变体覆盖广度、产品属性填写完整度、页面视觉风格是否与类目调性匹配；部分类目额外记录是否强调正品授权或品牌调性，部分类目额外记录页面是否分风格系列。
- 口碑维度：评分分布、差评高频问题与未被满足的诉求（用于后续差异化）、是否存在评论异常波动（短期内评论激增或结构异常需要另外核实真实性，不直接采信为自然增长）。
- 流量与成本维度：是否投放广告及大致投放力度、自然流量占比高低、当前市场价格带与历史价格/优惠券记录（历史价格骤降后又冲量的模式提示可能靠让利冲单，而非稳定真实需求）。
- 经济性维度：估算对照产品的采购成本与毛利空间、月销量与月销售额量级、转化率与流量价值，转化率需与流量质量一起看，不能单独作为好坏标准。
- 汇总打分：把以上维度按自身产品的实际情况加权，排除数据好看但广告依赖度高、自然流量占比低、历史价格异常的样本，优先参考销量稳定且自然流量占比健康的对照产品，形成候选产品的差异化改进方向而非直接照抄。
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：抓取类目前排 Listing 的公开图片、评论、价格历史与广告位出现频次等数据，作为竞品评分表的第三方代理证据。
- 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
- 类目对照池采样清单
- 多维度评分表（内容/口碑/流量成本/经济性四类）
- 广告依赖度与自然流量占比核查记录
- 差异化改进方向清单
- 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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix 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 Hundun Amazon Competitor Scorecard Matrix 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 Hundun Amazon Competitor Scorecard Matrix this skillxjli360/sealeap-amazon-skills | 251 | — | ~843 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Questions about Sealeap Hundun Amazon Competitor Scorecard Matrix
What does Sealeap Hundun Amazon Competitor Scorecard Matrix do?
Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity…. Sealeap Hundun Amazon Competitor Scorecard Matrix is an agent skill from xjli360/sealeap-amazon-skills. Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity weight, ad presence, organic-traffic share, landed cost and margin, and price-history-flagged promotion-inflated volume, to score candidate products instead of copying the single best-looking listing.
When should I use Sealeap Hundun Amazon Competitor Scorecard Matrix?
Sealeap Hundun Amazon Competitor Scorecard Matrix fits situations like: 竞品数据该收集哪些维度、怎么判断一个爆款是不是靠广告砸出来的、怎么看历史降价识别冲量、选品评分表怎么搭; justify entering a category solely because one listing looks good; treat a single metric as sufficient evidence without cross-checking ad dependency and price history.
How do I install Sealeap Hundun Amazon Competitor Scorecard Matrix in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-competitor-scorecard-matrix -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-hundun-amazon-competitor-scorecard-matrix in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Hundun Amazon Competitor Scorecard Matrix in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-competitor-scorecard-matrix -a codex`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-hundun-amazon-competitor-scorecard-matrix in your project. Codex loads it when a task matches its description.
Can I use Sealeap Hundun Amazon Competitor Scorecard Matrix 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-hundun-amazon-competitor-scorecard-matrix -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-hundun-amazon-competitor-scorecard-matrix, .gemini/skills/sealeap-hundun-amazon-competitor-scorecard-matrix, .github/skills/sealeap-hundun-amazon-competitor-scorecard-matrix and .opencode/skills/sealeap-hundun-amazon-competitor-scorecard-matrix in your project.
What does Sealeap Hundun Amazon Competitor Scorecard Matrix need to run?
Going by SKILL.md and its folder, Sealeap Hundun Amazon Competitor Scorecard Matrix needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Hundun Amazon Competitor Scorecard Matrix 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 Hundun Amazon Competitor Scorecard Matrix 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 Hundun Amazon Competitor Scorecard Matrix use?
Sealeap Hundun Amazon Competitor Scorecard Matrix 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 Hundun Amazon Competitor Scorecard Matrix use?
About 843 tokens (SKILL.md is roughly 3.4k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Hundun Amazon Competitor Scorecard Matrix?
Skills that share tags, products or a category with Sealeap Hundun Amazon Competitor Scorecard Matrix: 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 Hundun Amazon Competitor Scorecard Matrix?
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.