HIPAA Pre-Deployment Compliance Check
maziyarpanahi/openmed
Walks a data pipeline against the HIPAA Privacy and Security Rule checklist and produces a gap report before it processes patient data.
Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances…
Install Sealeap Luduan Amazon Eu Scale Product Screen
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-luduan-amazon-eu-scale-product-screen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-luduan-amazon-eu-scale-product-screen --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/luduan/sealeap-luduan-amazon-eu-scale-product-screen .claude/skills/sealeap-luduan-amazon-eu-scale-product-screen && 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-luduan-amazon-eu-scale-product-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen into .claude/skills/sealeap-luduan-amazon-eu-scale-product-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-luduan-amazon-eu-scale-product-screen", 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/luduan/sealeap-luduan-amazon-eu-scale-product-screenType 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-luduan-amazon-eu-scale-product-screen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-luduan-amazon-eu-scale-product-screen --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/luduan/sealeap-luduan-amazon-eu-scale-product-screen .agents/skills/sealeap-luduan-amazon-eu-scale-product-screen && 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-luduan-amazon-eu-scale-product-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen into .agents/skills/sealeap-luduan-amazon-eu-scale-product-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-luduan-amazon-eu-scale-product-screen", 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-luduan-amazon-eu-scale-product-screen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-luduan-amazon-eu-scale-product-screen --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/luduan/sealeap-luduan-amazon-eu-scale-product-screen .cursor/skills/sealeap-luduan-amazon-eu-scale-product-screen && 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-luduan-amazon-eu-scale-product-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen into .cursor/skills/sealeap-luduan-amazon-eu-scale-product-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-luduan-amazon-eu-scale-product-screen", 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/luduan/sealeap-luduan-amazon-eu-scale-product-screen--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-luduan-amazon-eu-scale-product-screen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-luduan-amazon-eu-scale-product-screen --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/luduan/sealeap-luduan-amazon-eu-scale-product-screen .gemini/skills/sealeap-luduan-amazon-eu-scale-product-screen && 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-luduan-amazon-eu-scale-product-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen into .gemini/skills/sealeap-luduan-amazon-eu-scale-product-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-luduan-amazon-eu-scale-product-screen", 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-luduan-amazon-eu-scale-product-screenInstalls 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-luduan-amazon-eu-scale-product-screen -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/luduan/sealeap-luduan-amazon-eu-scale-product-screen .github/skills/sealeap-luduan-amazon-eu-scale-product-screen && 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-luduan-amazon-eu-scale-product-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen into .github/skills/sealeap-luduan-amazon-eu-scale-product-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-luduan-amazon-eu-scale-product-screen", 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-luduan-amazon-eu-scale-product-screen -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-luduan-amazon-eu-scale-product-screen --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/luduan/sealeap-luduan-amazon-eu-scale-product-screen .opencode/skills/sealeap-luduan-amazon-eu-scale-product-screen && 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-luduan-amazon-eu-scale-product-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen into .opencode/skills/sealeap-luduan-amazon-eu-scale-product-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-luduan-amazon-eu-scale-product-screen", 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-luduan-amazon-eu-scale-product-screen- GitHub stars
- 251
- Token cost
- ~871 tokens
- SKILL.md length
- 182 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances…
- 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。 → …
- 欧洲站选品怎么看体量、评价增速反推销量、大卖选品逻辑、类目容量增长趋势、带电产品欧洲合规风险、选品前问同行
- 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 Luduan Amazon Eu Scale Product Screen is an agent skill from xjli360/sealeap-amazon-skills. Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances, compliance certification, breakage and after-sales exposure, and competitor aggression, then issue a GO/HOLD decision with the evidence behind each factor. Does not replace supplier sampling or a formal compliance review. Use for 欧洲站选品怎么看体量、评价增速反推销量、大卖选品逻辑、类目容量增长趋势、带电产品欧洲合规风险、选品前问同行. Do not use for small-seller niche…
Its SKILL.md is about 870 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 Regulatory compliance. 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
- 欧洲站选品怎么看体量、评价增速反推销量、大卖选品逻辑、类目容量增长趋势、带电产品欧洲合规风险、选品前问同行
- Small-seller niche entry decisions
- As a substitute for product testing and certification
Example prompts
- “/sealeap-luduan-amazon-eu-scale-product-screen”
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 Luduan Amazon Eu Scale Product Screen loads about 871 tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 159 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, ~871 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-luduan-amazon-eu-scale-product-screen/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-luduan-amazon-eu-scale-product-screen
- description
- Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances, compliance certification, breakage and after-sales exposure, and competitor aggression, then issue a GO/HOLD decision with the evidence behind each factor. Does not replace supplier sampling or a formal compliance review. Use for 欧洲站选品怎么看体量、评价增速反推销量、大卖选品逻辑、类目容量增长趋势、带电产品欧洲合规风险、选品前问同行. Do not use for small-seller niche entry decisions or as a substitute for product testing and certification.
Amazon 欧洲站中大卖选品体量与风险核查
目标
Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances, compliance certification, breakage and after-sales exposure, and competitor aggression, then issue a GO/HOLD decision with the evidence behind each factor. Does not replace supplier sampling or a formal compliance review.
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。
- 来源用固定留评率倍数把评价增速换算成订单，这是粗估，不同类目与时期的留评率差异很大；结论必须标 ESTIMATE 并用第二来源交叉验证。
- 来源给出的采购价档位、利润率、营销占比与退货比例是特定时点的案例数字，本 Skill 不保留；一律按当前报价与账户数据重算。
- 来源承认该案例最终因续航与售后问题不推荐，本 Skill 把“数据面看好但实物有已知缺陷”作为典型失败模式，要求上线前完成样品测试与同行问询。
- 来源提到竞争对手可能通过刷差评或恶意投诉打压新进入者，这只作为风险提示；本 Skill 不采用任何测评操纵或投诉对抗手段。
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：
- 先定卖家体量与决策口径：可投入资金、可承受的竞争强度、目标利润率与目标站点；中大卖的优先级是类目容量与增长趋势、做到头部后的整体利润，而不是避开竞争。
- 找容量证据：选取类目内若干代表性 Listing，按固定间隔记录评价总数变化，用日均新增评价乘以留评率假设换算日销；留评率倍数以当前类目校准，来源使用的固定倍数仅作参考，并用第三方销量估算或前台可见数据交叉验证。
- 看增长而不是绝对量：比较不同上线时长 Listing 的评价增长曲线是否自然、近期是否加速；把日销换算成日销售额时使用当前站点的客单价区间。
- 做单位经济：采购价按能保证质量的档位报价（低价档位的质量风险计入）、头程与 FBA 费用、平台佣金、营销费用占比按高竞争类目上浮、退货与不可售库存处置比例单独预留；营销与退货比例以当前账户校准，来源经验值仅作参考。
- 合规与售后核查：带电类产品在欧洲站需要的认证与责任人要求、包装防破损设计、退货后不可售库存在海外的处置成本；任一项无解先记 HOLD。
- 选品前做外部验证：把产品交给做过该类目的同行或供应商看电池寿命、故障率、售后投诉等已知问题；除非产品高度新颖需要保密，否则不只看数据面。
- 竞争风险评估：记录类目内是否存在恶意差评、投诉下架、跨站点改 Listing 等对抗行为的迹象，评估团队是否有应对能力；输出 GO/HOLD 与理由，并标出待补证据。
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：获取类目内代表性 Listing 的评价数量变化、销量估算与评论中的质量问题，作为容量与风险核查的代理证据。
- 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
- 类目容量与增长证据表（评价增速、换算假设、交叉验证）
- 单位经济测算（含营销、退货与不可售处置预留）
- 合规与售后核查清单
- 同行/供应商问询记录
- GO/HOLD 结论与待补证据
- 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/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen 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 Luduan Amazon Eu Scale Product Screen 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 Luduan Amazon Eu Scale Product Screen this skillxjli360/sealeap-amazon-skills | 251 | — | ~871 | Automated safety check: Pass | MIT | |
| HIPAA Pre-Deployment Compliance Checkmaziyarpanahi/openmed | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| ISO Standards Readiness EvidenceK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.6k | Automated safety check: Notes | MIT | |
| Iso42001Sushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Legal Compliance SearchSerein-81/financial_rag | 148 | — | ~1.6k | Automated safety check: Notes | None |
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Questions about Sealeap Luduan Amazon Eu Scale Product Screen
What does Sealeap Luduan Amazon Eu Scale Product Screen do?
Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances…. Sealeap Luduan Amazon Eu Scale Product Screen is an agent skill from xjli360/sealeap-amazon-skills. Screen a high-volume Amazon EU category for mid-to-large sellers by estimating competitor daily sales from review velocity, checking growth trend, unit margin after marketing and return allowances, compliance certification, breakage and after-sales exposure, and competitor aggression, then issue a GO/HOLD decision with the evidence behind each factor.
When should I use Sealeap Luduan Amazon Eu Scale Product Screen?
Sealeap Luduan Amazon Eu Scale Product Screen fits situations like: 欧洲站选品怎么看体量、评价增速反推销量、大卖选品逻辑、类目容量增长趋势、带电产品欧洲合规风险、选品前问同行; small-seller niche entry decisions; as a substitute for product testing and certification.
How do I install Sealeap Luduan Amazon Eu Scale Product Screen in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-luduan-amazon-eu-scale-product-screen -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-luduan-amazon-eu-scale-product-screen in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Luduan Amazon Eu Scale Product Screen in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-luduan-amazon-eu-scale-product-screen -a codex`. Or copy the skill folder (amazon-skills/bilibili/luduan/sealeap-luduan-amazon-eu-scale-product-screen in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-luduan-amazon-eu-scale-product-screen in your project. Codex loads it when a task matches its description.
Can I use Sealeap Luduan Amazon Eu Scale Product Screen 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-luduan-amazon-eu-scale-product-screen -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-luduan-amazon-eu-scale-product-screen, .gemini/skills/sealeap-luduan-amazon-eu-scale-product-screen, .github/skills/sealeap-luduan-amazon-eu-scale-product-screen and .opencode/skills/sealeap-luduan-amazon-eu-scale-product-screen in your project.
What does Sealeap Luduan Amazon Eu Scale Product Screen need to run?
Going by SKILL.md and its folder, Sealeap Luduan Amazon Eu Scale Product Screen needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Luduan Amazon Eu Scale Product Screen 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 Luduan Amazon Eu Scale Product Screen 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 Luduan Amazon Eu Scale Product Screen use?
Sealeap Luduan Amazon Eu Scale Product Screen 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 Luduan Amazon Eu Scale Product Screen use?
About 871 tokens (SKILL.md is roughly 3.5k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Luduan Amazon Eu Scale Product Screen?
Skills that share tags, products or a category with Sealeap Luduan Amazon Eu Scale Product Screen: HIPAA Pre-Deployment Compliance Check (maziyarpanahi/openmed, 5.5k stars), Hipaa Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), ISO Standards Readiness Evidence (K-Dense-AI/scientific-agent-skills, 48k stars) and Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Luduan Amazon Eu Scale Product Screen?
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.