Review
apollographql/apollo-mcp-server
Review a GitHub pull request for a Rust codebase. An agent skill from apollographql/apollo-mcp-server.
Agent skill
Sealeap Taotie Amazon Third Party Tool Data Calibration
Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales…
Install Sealeap Taotie Amazon Third Party Tool Data Calibration
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taotie-amazon-third-party-tool-data-calibration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-third-party-tool-data-calibration --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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration .claude/skills/sealeap-taotie-amazon-third-party-tool-data-calibration && 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-taotie-amazon-third-party-tool-data-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration into .claude/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-third-party-tool-data-calibration", 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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibrationType 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-taotie-amazon-third-party-tool-data-calibration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-third-party-tool-data-calibration --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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration .agents/skills/sealeap-taotie-amazon-third-party-tool-data-calibration && 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-taotie-amazon-third-party-tool-data-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration into .agents/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-third-party-tool-data-calibration", 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-taotie-amazon-third-party-tool-data-calibration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-third-party-tool-data-calibration --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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration .cursor/skills/sealeap-taotie-amazon-third-party-tool-data-calibration && 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-taotie-amazon-third-party-tool-data-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration into .cursor/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-third-party-tool-data-calibration", 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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration--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-taotie-amazon-third-party-tool-data-calibration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-third-party-tool-data-calibration --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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration .gemini/skills/sealeap-taotie-amazon-third-party-tool-data-calibration && 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-taotie-amazon-third-party-tool-data-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration into .gemini/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-third-party-tool-data-calibration", 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-taotie-amazon-third-party-tool-data-calibrationInstalls 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-taotie-amazon-third-party-tool-data-calibration -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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration .github/skills/sealeap-taotie-amazon-third-party-tool-data-calibration && 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-taotie-amazon-third-party-tool-data-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration into .github/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-third-party-tool-data-calibration", 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-taotie-amazon-third-party-tool-data-calibration -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-taotie-amazon-third-party-tool-data-calibration --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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration .opencode/skills/sealeap-taotie-amazon-third-party-tool-data-calibration && 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-taotie-amazon-third-party-tool-data-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration into .opencode/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-third-party-tool-data-calibration", 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-taotie-amazon-third-party-tool-data-calibration- GitHub stars
- 251
- Token cost
- ~804 tokens
- SKILL.md length
- 173 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales…
- 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。 → …
- 哪个选品工具准、搜索量差很多、销量估算差异、工具支持哪些站点、要不要买某工具、多店铺用什么工具、评论分析和关键词监控哪家有
- 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 Taotie Amazon Third Party Tool Data Calibration is an agent skill from xjli360/sealeap-amazon-skills. Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales and trend shape, cross-check trend direction with a public search-trend source, note marketplace coverage gaps, and choose a tool set by store count and job to be done rather than by brand reputation. Use for 哪个选品工具准、搜索量差很多、销量估算差异、工具支持哪些站点、要不要买某工具、多店铺用什么工具、评论分析和关键词监控哪家有. Do not use to declare any single tool's number as…
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 sits in Business, Finance & HR, covering Performance reviews, Test coverage and Keyword research. 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
- 哪个选品工具准、搜索量差很多、销量估算差异、工具支持哪些站点、要不要买某工具、多店铺用什么工具、评论分析和关键词监控哪家有
- Declare any single tools number as ground truth
- Recommend a paid tool without stating the calibration evidence
Example prompts
- “/sealeap-taotie-amazon-third-party-tool-data-calibration”
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 Taotie Amazon Third Party Tool Data Calibration loads about 804 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 164 tokens; SKILL.md has 173 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). 173 words, ~804 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-taotie-amazon-third-party-tool-data-calibration/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-taotie-amazon-third-party-tool-data-calibration
- description
- Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales and trend shape, cross-check trend direction with a public search-trend source, note marketplace coverage gaps, and choose a tool set by store count and job to be done rather than by brand reputation. Use for 哪个选品工具准、搜索量差很多、销量估算差异、工具支持哪些站点、要不要买某工具、多店铺用什么工具、评论分析和关键词监控哪家有. Do not use to declare any single tool's number as ground truth or to recommend a paid tool without stating the calibration evidence.
Amazon 第三方选品工具数据交叉校准
目标
Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales and trend shape, cross-check trend direction with a public search-trend source, note marketplace coverage gaps, and choose a tool set by store count and job to be done rather than by brand reputation.
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。
- 来源对具体工具「偏高/偏低/鸡肋」的评价是当时样本下的观察，工具算法持续更新，每次使用前重新跑基准对比。
- 「多数工具一致即可信」只是投票式近似，估算仍是 ESTIMATE；有平台一方数据时以一方为准。
- 来源的工具价格、团购与推荐链接不采纳；本 Skill 只描述工具类别与选择标准。
- 广告分时调价、跟卖监控等功能的效果未在来源中验证，列为功能清单项而非推荐做法。
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：
- 选一个需求明确的关键词与一个评论数很多的头部 ASIN 作为基准（样本越大估算越稳），在可用的每个工具里分别记录月搜索量、购买率、月销量估算与趋势图，并注明数据月份。
- 比较搜索量：若某类工具系统性偏高或偏低（来源观察到不同来源的工具相差约一半量级），把偏差方向写进口径表；不同工具数字并列保留，用一方数据（品牌分析或商机探测器）或公开搜索趋势核对方向。
- 比较销量估算：多数工具聚集在同一区间时采信该区间，离群的工具标为偏高/偏低；用类目 BSR 与该区间的关系做粗校，避免只信数字大的那家。
- 核对趋势形状：把工具的历史曲线与公开搜索趋势对比，方向一致才作为季节性证据；幅度不一致属正常。
- 列出每个工具的站点覆盖（尤其日本、中东等站）与关键功能（关键词收录检查、反查、排名监控、市场集中度分析、评论分析、库存与广告分时、多店汇总），按当前需求打勾。
- 按店铺数量与岗位分工选组合：单店或少店以选品与关键词功能齐全、可开子账号的工具为主；多店铺时优先能汇总店铺经营与广告数据的工具；费用高但功能重叠的工具先试用再决定。
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：对同一关键词与 ASIN 获取多来源搜索量、销量估算与趋势的第三方代理证据。
- 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
- 基准关键词与 ASIN 对比表
- 工具口径偏差记录
- 趋势方向核对结果
- 站点覆盖与功能清单
- 工具组合选择建议
- 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/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration 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 Taotie Amazon Third Party Tool Data Calibration 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 Taotie Amazon Third Party Tool Data Calibration this skillxjli360/sealeap-amazon-skills | 251 | — | ~804 | Automated safety check: Pass | MIT | |
| Reviewapollographql/apollo-mcp-server | 314 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Asc Aso AuditCamilleScholtz/swmpc | 239 | 5 repos | ~2.6k | Automated safety check: Pass | EUPL-1.2 | |
| Sonar CoverageSonarSource/sonarqube-agent-plugins | 111 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Score Harnessruvnet/metaharness | 696 | — | ~613 | Automated safety check: Pass | MIT | |
| Source Command Unifi MCP Test Coverageenuno/unifi-mcp-server | 284 | — | ~707 | Automated safety check: Pass | Apache-2.0 |
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Questions about Sealeap Taotie Amazon Third Party Tool Data Calibration
What does Sealeap Taotie Amazon Third Party Tool Data Calibration do?
Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales…. Sealeap Taotie Amazon Third Party Tool Data Calibration is an agent skill from xjli360/sealeap-amazon-skills. Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales and trend shape, cross-check trend direction with a public search-trend source, note marketplace coverage gaps, and choose a tool set by store count and job to be done rather than by brand reputation.
When should I use Sealeap Taotie Amazon Third Party Tool Data Calibration?
Sealeap Taotie Amazon Third Party Tool Data Calibration fits situations like: 哪个选品工具准、搜索量差很多、销量估算差异、工具支持哪些站点、要不要买某工具、多店铺用什么工具、评论分析和关键词监控哪家有; declare any single tools number as ground truth; recommend a paid tool without stating the calibration evidence.
How do I install Sealeap Taotie Amazon Third Party Tool Data Calibration in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taotie-amazon-third-party-tool-data-calibration -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-taotie-amazon-third-party-tool-data-calibration in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Taotie Amazon Third Party Tool Data Calibration in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taotie-amazon-third-party-tool-data-calibration -a codex`. Or copy the skill folder (amazon-skills/bilibili/taotie/sealeap-taotie-amazon-third-party-tool-data-calibration in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-taotie-amazon-third-party-tool-data-calibration in your project. Codex loads it when a task matches its description.
Can I use Sealeap Taotie Amazon Third Party Tool Data Calibration 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-taotie-amazon-third-party-tool-data-calibration -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-taotie-amazon-third-party-tool-data-calibration, .gemini/skills/sealeap-taotie-amazon-third-party-tool-data-calibration, .github/skills/sealeap-taotie-amazon-third-party-tool-data-calibration and .opencode/skills/sealeap-taotie-amazon-third-party-tool-data-calibration in your project.
What does Sealeap Taotie Amazon Third Party Tool Data Calibration need to run?
Going by SKILL.md and its folder, Sealeap Taotie Amazon Third Party Tool Data Calibration needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Taotie Amazon Third Party Tool Data Calibration 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 Taotie Amazon Third Party Tool Data Calibration 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 Taotie Amazon Third Party Tool Data Calibration use?
Sealeap Taotie Amazon Third Party Tool Data Calibration 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 Taotie Amazon Third Party Tool Data Calibration 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 Taotie Amazon Third Party Tool Data Calibration?
Skills that share tags, products or a category with Sealeap Taotie Amazon Third Party Tool Data Calibration: Review (apollographql/apollo-mcp-server, 314 stars), Asc Aso Audit (CamilleScholtz/swmpc, 239 stars), Sonar Coverage (SonarSource/sonarqube-agent-plugins, 111 stars) and Score Harness (ruvnet/metaharness, 696 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Taotie Amazon Third Party Tool Data Calibration?
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.