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Patsnap Patent Research MCP for AI agents. An agent skill from patsnap/mcp.
Agent skill
Sealeap Taowu Amazon First Year Risk Checklist
Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising…
Install Sealeap Taowu Amazon First Year Risk Checklist
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taowu-amazon-first-year-risk-checklist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taowu-amazon-first-year-risk-checklist --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/taowu/sealeap-taowu-amazon-first-year-risk-checklist .claude/skills/sealeap-taowu-amazon-first-year-risk-checklist && 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-taowu-amazon-first-year-risk-checklist" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist into .claude/skills/sealeap-taowu-amazon-first-year-risk-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taowu-amazon-first-year-risk-checklist", 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/taowu/sealeap-taowu-amazon-first-year-risk-checklistType 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-taowu-amazon-first-year-risk-checklist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taowu-amazon-first-year-risk-checklist --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/taowu/sealeap-taowu-amazon-first-year-risk-checklist .agents/skills/sealeap-taowu-amazon-first-year-risk-checklist && 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-taowu-amazon-first-year-risk-checklist" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist into .agents/skills/sealeap-taowu-amazon-first-year-risk-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taowu-amazon-first-year-risk-checklist", 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-taowu-amazon-first-year-risk-checklist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taowu-amazon-first-year-risk-checklist --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/taowu/sealeap-taowu-amazon-first-year-risk-checklist .cursor/skills/sealeap-taowu-amazon-first-year-risk-checklist && 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-taowu-amazon-first-year-risk-checklist" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist into .cursor/skills/sealeap-taowu-amazon-first-year-risk-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taowu-amazon-first-year-risk-checklist", 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/taowu/sealeap-taowu-amazon-first-year-risk-checklist--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-taowu-amazon-first-year-risk-checklist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taowu-amazon-first-year-risk-checklist --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/taowu/sealeap-taowu-amazon-first-year-risk-checklist .gemini/skills/sealeap-taowu-amazon-first-year-risk-checklist && 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-taowu-amazon-first-year-risk-checklist" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist into .gemini/skills/sealeap-taowu-amazon-first-year-risk-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taowu-amazon-first-year-risk-checklist", 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-taowu-amazon-first-year-risk-checklistInstalls 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-taowu-amazon-first-year-risk-checklist -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/taowu/sealeap-taowu-amazon-first-year-risk-checklist .github/skills/sealeap-taowu-amazon-first-year-risk-checklist && 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-taowu-amazon-first-year-risk-checklist" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist into .github/skills/sealeap-taowu-amazon-first-year-risk-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taowu-amazon-first-year-risk-checklist", 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-taowu-amazon-first-year-risk-checklist -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-taowu-amazon-first-year-risk-checklist --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/taowu/sealeap-taowu-amazon-first-year-risk-checklist .opencode/skills/sealeap-taowu-amazon-first-year-risk-checklist && 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-taowu-amazon-first-year-risk-checklist" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist into .opencode/skills/sealeap-taowu-amazon-first-year-risk-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taowu-amazon-first-year-risk-checklist", 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-taowu-amazon-first-year-risk-checklist- GitHub stars
- 251
- Token cost
- ~807 tokens
- SKILL.md length
- 170 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising…
- 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。 → …
- 新卖家避坑、第一批货订多少、新品要不要先投广告、Listing 能不能写别人的品牌词、后台关键词商标风险、首年常见错误
- 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 Taowu Amazon First Year Risk Checklist is an agent skill from xjli360/sealeap-amazon-skills. Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising budget inside the margin model, and screen the listing and backend keywords for third-party trademarks. Outputs a go/hold decision with the evidence behind each gate. Use for 新卖家避坑、第一批货订多少、新品要不要先投广告、Listing 能不能写别人的品牌词、后台关键词商标风险、首年常见错误. Do not use as a legal trademark clearance opinion or as a substitute for a full…
Its SKILL.md is about 810 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 Legal & Compliance, covering Intellectual property. 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
- 新卖家避坑、第一批货订多少、新品要不要先投广告、Listing 能不能写别人的品牌词、后台关键词商标风险、首年常见错误
- Tasks that involve Intellectual property
Example prompts
- “/sealeap-taowu-amazon-first-year-risk-checklist”
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 Taowu Amazon First Year Risk Checklist loads about 807 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 147 tokens; SKILL.md has 170 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). 170 words, ~807 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-taowu-amazon-first-year-risk-checklist/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-taowu-amazon-first-year-risk-checklist
- description
- Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising budget inside the margin model, and screen the listing and backend keywords for third-party trademarks. Outputs a go/hold decision with the evidence behind each gate. Use for 新卖家避坑、第一批货订多少、新品要不要先投广告、Listing 能不能写别人的品牌词、后台关键词商标风险、首年常见错误. Do not use as a legal trademark clearance opinion or as a substitute for a full product-selection study.
Amazon 新卖家首年风险自检
目标
Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising budget inside the margin model, and screen the listing and backend keywords for third-party trademarks. Outputs a go/hold decision with the evidence behind each gate.
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。
- 来源用“可比竞品估算月销的一半”定首月预期、“首单为月销两倍”等比例，是个人经验值；按当前品类季节性、资金和仓储成本校准，来源比例仅作参考。
- 第三方销量估算是估算，不同工具口径不同；用于排序与量级判断，不作为一方事实写进决策。
- “新品不打广告就卖不动”是经验判断而非平台规则；广告依赖度按当前品类的广告占比与自然流量证据评估。
- 商标检索只是初筛，查不到不等于没有；涉及仿制外观或功能的产品还要另做专利与外观权初筛，必要时咨询专业人士。
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：
- 先做需求验证：用第三方销量估算与可比 Listing 的评论增速、价格带交叉核对，估算值标为 ESTIMATE；只有个人偏好、没有需求证据的候选品直接 HOLD。
- 评估 Listing 质量基线：主图、标题、卖点是否达到同类目在售水平；Listing 未成型前不下大单，因为转化差会把库存问题放大。
- 定首单数量：以一款可比竞品的估算月销为锚，乘以保守折扣作为首月预期，并按资金、仓储费和滞销清仓成本设上限；不确定时先用小批量测款，首周动销验证后再追加正式订单。
- 把广告预算写进利润模型：新品在缺少评论和自然排名时通常需要 PPC 起量，用目标 ACOS 与预计广告占比反推售价和毛利是否仍成立，不成立则重新选品或定价。
- 商标排查：逐项检查标题、五点、描述、后台关键词和图片中是否出现任何第三方品牌名、产品线名或标志（包括“兼容/仿/同款”式表述）；先用商标数据库与搜索初筛，再决定是否保留；已出现的立即移除并记录。
- 形成下单前的四闸结论（需求、数量、广告预算、IP）：任一闸未过写 HOLD 并列出补证据动作；全部通过再向供应商确认订单。
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：获取可比 Listing 的估算销量、评论与价格证据，以及品牌词/商标的公开检索结果。
- 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
- 需求验证证据表（估算销量、可比 Listing、口径与限制）
- 首单数量测算与上限（锚点、折扣、资金与滞销约束）
- 含广告预算的利润模型草案
- 商标与品牌词排查记录（检查位置、发现项、处理动作）
- 下单前四闸结论（GO/HOLD 与待补证据）
- 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/taowu/sealeap-taowu-amazon-first-year-risk-checklist 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 Taowu Amazon First Year Risk Checklist 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 Taowu Amazon First Year Risk Checklist this skillxjli360/sealeap-amazon-skills | 251 | — | ~807 | Automated safety check: Pass | MIT | |
| Patsnap Ip Searchingpatsnap/mcp | 113 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Prior Art Searchillusionaireal/oh-my-patent | 104 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Patsnap Triz Case Librarypatsnap/mcp | 113 | — | ~885 | Automated safety check: Pass | Apache-2.0 | |
| Patsnap Workspacepatsnap/mcp | 113 | — | ~777 | Automated safety check: Pass | Apache-2.0 | |
| Mpep SearchRobThePCGuy/Claude-Patent-Creator | 196 | — | ~978 | Automated safety check: Pass | MIT |
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Questions about Sealeap Taowu Amazon First Year Risk Checklist
What does Sealeap Taowu Amazon First Year Risk Checklist do?
Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising…. Sealeap Taowu Amazon First Year Risk Checklist is an agent skill from xjli360/sealeap-amazon-skills. Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising budget inside the margin model, and screen the listing and backend keywords for third-party trademarks.
When should I use Sealeap Taowu Amazon First Year Risk Checklist?
Sealeap Taowu Amazon First Year Risk Checklist fits situations like: 新卖家避坑、第一批货订多少、新品要不要先投广告、Listing 能不能写别人的品牌词、后台关键词商标风险、首年常见错误; tasks that involve Intellectual property.
How do I install Sealeap Taowu Amazon First Year Risk Checklist in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taowu-amazon-first-year-risk-checklist -a claude-code`. Or copy the skill folder (amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-taowu-amazon-first-year-risk-checklist in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Taowu Amazon First Year Risk Checklist in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taowu-amazon-first-year-risk-checklist -a codex`. Or copy the skill folder (amazon-skills/youtube/taowu/sealeap-taowu-amazon-first-year-risk-checklist in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-taowu-amazon-first-year-risk-checklist in your project. Codex loads it when a task matches its description.
Can I use Sealeap Taowu Amazon First Year Risk Checklist 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-taowu-amazon-first-year-risk-checklist -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-taowu-amazon-first-year-risk-checklist, .gemini/skills/sealeap-taowu-amazon-first-year-risk-checklist, .github/skills/sealeap-taowu-amazon-first-year-risk-checklist and .opencode/skills/sealeap-taowu-amazon-first-year-risk-checklist in your project.
What does Sealeap Taowu Amazon First Year Risk Checklist need to run?
Going by SKILL.md and its folder, Sealeap Taowu Amazon First Year Risk Checklist needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Taowu Amazon First Year Risk Checklist 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 Taowu Amazon First Year Risk Checklist 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 Taowu Amazon First Year Risk Checklist use?
Sealeap Taowu Amazon First Year Risk Checklist 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 Taowu Amazon First Year Risk Checklist use?
About 807 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Taowu Amazon First Year Risk Checklist?
Skills that share tags, products or a category with Sealeap Taowu Amazon First Year Risk Checklist: Patsnap Ip Searching (patsnap/mcp, 113 stars), Prior Art Search (illusionaireal/oh-my-patent, 104 stars), Patsnap Triz Case Library (patsnap/mcp, 113 stars) and Patsnap Workspace (patsnap/mcp, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Taowu Amazon First Year Risk Checklist?
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.