Evaluate Skill
every-app/open-seo
Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save.
Agent skill
Sealeap Bixie Amazon New Product Keyword Gap Diagnosis
Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers.
Install Sealeap Bixie Amazon New Product Keyword Gap Diagnosis
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-new-product-keyword-gap-diagnosis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-new-product-keyword-gap-diagnosis --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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis .claude/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis && 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-bixie-amazon-new-product-keyword-gap-diagnosis" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis into .claude/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-new-product-keyword-gap-diagnosis", 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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosisType 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-bixie-amazon-new-product-keyword-gap-diagnosis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-new-product-keyword-gap-diagnosis --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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis .agents/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis && 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-bixie-amazon-new-product-keyword-gap-diagnosis" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis into .agents/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-new-product-keyword-gap-diagnosis", 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-bixie-amazon-new-product-keyword-gap-diagnosis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-new-product-keyword-gap-diagnosis --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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis .cursor/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis && 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-bixie-amazon-new-product-keyword-gap-diagnosis" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis into .cursor/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-new-product-keyword-gap-diagnosis", 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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis--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-bixie-amazon-new-product-keyword-gap-diagnosis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-new-product-keyword-gap-diagnosis --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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis .gemini/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis && 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-bixie-amazon-new-product-keyword-gap-diagnosis" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis into .gemini/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-new-product-keyword-gap-diagnosis", 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-bixie-amazon-new-product-keyword-gap-diagnosisInstalls 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-bixie-amazon-new-product-keyword-gap-diagnosis -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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis .github/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis && 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-bixie-amazon-new-product-keyword-gap-diagnosis" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis into .github/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-new-product-keyword-gap-diagnosis", 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-bixie-amazon-new-product-keyword-gap-diagnosis -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-bixie-amazon-new-product-keyword-gap-diagnosis --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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis .opencode/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis && 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-bixie-amazon-new-product-keyword-gap-diagnosis" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis into .opencode/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-new-product-keyword-gap-diagnosis", 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-bixie-amazon-new-product-keyword-gap-diagnosis- GitHub stars
- 251
- Token cost
- ~674 tokens
- SKILL.md length
- 144 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers.
- 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。 → …
- 新品流量起不来、自然流量占比低、判断关键词是否被收录、新品补词优先级排序
- 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 Bixie Amazon New Product Keyword Gap Diagnosis is an agent skill from xjli360/sealeap-amazon-skills. Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers. Flags indexing problems separately from weak keyword coverage before any bulk keyword addition. Use for 新品流量起不来、自然流量占比低、判断关键词是否被收录、新品补词优先级排序. Do not use to bulk-add keywords without first checking indexing status, or to replace a direct backend index/rank lookup.
Its SKILL.md is about 670 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 Marketing & SEO, covering 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
- 新品流量起不来、自然流量占比低、判断关键词是否被收录、新品补词优先级排序
- Bulk-add keywords without first checking indexing status
- Replace a direct backend index/rank lookup
Example prompts
- “s traffic isn”
- “/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis”
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 Bixie Amazon New Product Keyword Gap Diagnosis loads about 674 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 144 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). 144 words, ~674 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-bixie-amazon-new-product-keyword-gap-diagnosis
- description
- Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers. Flags indexing problems separately from weak keyword coverage before any bulk keyword addition. Use for 新品流量起不来、自然流量占比低、判断关键词是否被收录、新品补词优先级排序. Do not use to bulk-add keywords without first checking indexing status, or to replace a direct backend index/rank lookup.
Amazon 新品关键词收录诊断补词
目标
Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers. Flags indexing problems separately from weak keyword coverage before any bulk keyword addition.
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。
- 竞品有而我方没有只是补词的必要条件，不是充分条件——搜索量、相关性与自身供给能力都需要以当前数据复核，不能照单全收竞品词表。
- 自然流量占比、收录状态在不同关键词工具里的口径可能有差异，需用同一数据源做前后对比，不跨源直接比较。
- 补词梯队顺序是一种经验排序，新品期先测哪一档应按当前账户的广告预算与承受能力调整，不是固定公式。
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
- marketplace、产品事实、ASIN/SKU 与目标购买意图
- 本品和可比竞品的关键词、自然位置、广告可见度与采样时间
- 搜索词报告、转化、CPC、订单、利润和 Listing 当前覆盖
- 站点语言、变体、价格、库存与同期促销记录
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：
- 导出该 ASIN 最近一段时间的自然单占比与广告单占比，判断是广告占比畸高，还是两者都偏低这两种情形。
- 若广告占比畸高，优先复查标题、五点、后台关键词字段的收录状态，而非急于加词。
- 选两三个上线时间相近且表现更好的竞品，导出其关键词榜单做差异对比，列出竞品有、我方未覆盖的词表。
- 对差异词表逐词核实搜索量量级与本 ASIN 当前的收录、排名状态，只有搜索量达标但未被收录的词才判定为补词机会。
- 按精准中高搜索量词、长尾词、宽泛大词的顺序分梯队排入补词计划，避免一次性堆词。
- 补词后按固定周期复查收录与排名变化，用结果反过来验证词表判断是否准确。
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：抓取竞品 ASIN 的关键词覆盖与搜索量作为补词优先级排序的第三方代理证据。
- 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
- 自然广告流量占比诊断表
- 竞品关键词差异对比表
- 分梯队补词清单
- 补词后收录复查记录
- 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/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis 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 Bixie Amazon New Product Keyword Gap Diagnosis 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 Bixie Amazon New Product Keyword Gap Diagnosis this skillxjli360/sealeap-amazon-skills | 251 | — | ~674 | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor GapRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~560 | Automated safety check: Pass | MIT | |
| 90 Day SEO SprintBomx/distribb-skill | 197 | — | ~3.6k | Automated safety check: Pass | None | |
| Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT |
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xjli360/sealeap-amazon-skills
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Questions about Sealeap Bixie Amazon New Product Keyword Gap Diagnosis
What does Sealeap Bixie Amazon New Product Keyword Gap Diagnosis do?
Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers. Sealeap Bixie Amazon New Product Keyword Gap Diagnosis is an agent skill from xjli360/sealeap-amazon-skills. Diagnose why a new listing's traffic isn't growing by comparing organic-to-ad traffic ratios, then close keyword gaps against verified competitor terms in priority tiers.
When should I use Sealeap Bixie Amazon New Product Keyword Gap Diagnosis?
Sealeap Bixie Amazon New Product Keyword Gap Diagnosis fits situations like: 新品流量起不来、自然流量占比低、判断关键词是否被收录、新品补词优先级排序; bulk-add keywords without first checking indexing status; replace a direct backend index/rank lookup.
How do I install Sealeap Bixie Amazon New Product Keyword Gap Diagnosis in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-new-product-keyword-gap-diagnosis -a claude-code`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Bixie Amazon New Product Keyword Gap Diagnosis in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-new-product-keyword-gap-diagnosis -a codex`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis in your project. Codex loads it when a task matches its description.
Can I use Sealeap Bixie Amazon New Product Keyword Gap Diagnosis 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-bixie-amazon-new-product-keyword-gap-diagnosis -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-bixie-amazon-new-product-keyword-gap-diagnosis, .gemini/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis, .github/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis and .opencode/skills/sealeap-bixie-amazon-new-product-keyword-gap-diagnosis in your project.
What does Sealeap Bixie Amazon New Product Keyword Gap Diagnosis need to run?
Going by SKILL.md and its folder, Sealeap Bixie Amazon New Product Keyword Gap Diagnosis needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Bixie Amazon New Product Keyword Gap Diagnosis 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 Bixie Amazon New Product Keyword Gap Diagnosis 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 Bixie Amazon New Product Keyword Gap Diagnosis use?
Sealeap Bixie Amazon New Product Keyword Gap Diagnosis 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 Bixie Amazon New Product Keyword Gap Diagnosis use?
About 674 tokens (SKILL.md is roughly 2.7k 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 2.2k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Bixie Amazon New Product Keyword Gap Diagnosis?
Skills that share tags, products or a category with Sealeap Bixie Amazon New Product Keyword Gap Diagnosis: Evaluate Skill (every-app/open-seo, 23k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Gap (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars) and 90 Day SEO Sprint (Bomx/distribb-skill, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Bixie Amazon New Product Keyword Gap Diagnosis?
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.