Customer Research
Nexus-JPF/note-companion
When the user wants to conduct, analyze, or synthesize customer research.
使用卖家精灵选市场列表能力，基于类目维度筛选亚马逊细分市场，支持市场规模、竞争度、头部集中度、卖家结构、新品占比、价格/评分/毛利区间等大量条件，用于发现可进入市场与评估选品方向。当用户提到亚马逊市场调研、细分类目研究、市场机会筛选、市场集中度分析、新品机会、选市场、SellerSprite market research、category market…
Install Linkfox Sellersprite Market Research
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-market-research --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/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-sellersprite-market-research .claude/skills/linkfox-sellersprite-market-research && 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 "linkfox-sellersprite-market-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-research into .claude/skills/linkfox-sellersprite-market-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-market-research", 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/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-researchType 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 linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-market-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-sellersprite-market-research .agents/skills/linkfox-sellersprite-market-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-sellersprite-market-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-research into .agents/skills/linkfox-sellersprite-market-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-market-research", 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 linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-market-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-sellersprite-market-research .cursor/skills/linkfox-sellersprite-market-research && 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 "linkfox-sellersprite-market-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-research into .cursor/skills/linkfox-sellersprite-market-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-market-research", 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/linkfox-ai/linkfox-skills.git --path skills/linkfox-sellersprite-market-research--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 linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-market-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-sellersprite-market-research .gemini/skills/linkfox-sellersprite-market-research && 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 "linkfox-sellersprite-market-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-research into .gemini/skills/linkfox-sellersprite-market-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-market-research", 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 linkfox-ai/linkfox-skills linkfox-sellersprite-market-researchInstalls 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 linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-sellersprite-market-research .github/skills/linkfox-sellersprite-market-research && 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 "linkfox-sellersprite-market-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-research into .github/skills/linkfox-sellersprite-market-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-market-research", 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 linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-market-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-sellersprite-market-research .opencode/skills/linkfox-sellersprite-market-research && 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 "linkfox-sellersprite-market-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-market-research into .opencode/skills/linkfox-sellersprite-market-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-market-research", 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
linkfox-sellersprite-market-research- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~1.1k tokens
- SKILL.md length
- 343 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
使用卖家精灵选市场列表能力，基于类目维度筛选亚马逊细分市场，支持市场规模、竞争度、头部集中度、卖家结构、新品占比、价格/评分/毛利区间等大量条件，用于发现可进入市场与评估选品方向。当用户提到亚马逊市场调研、细分类目研究、市场机会筛选、市场集中度分析、新品机会、选市场、SellerSprite market research、category market…
- Works in 5 steps: 先给出市场候选 Top N，再展示核心指标（市场规模、集中度、新品占比）。 → 入参回显：GoodsCrn / BrandCrn / SellerCrn /… → 其它比例/毛利率等字段的单位以 references/api.md 为准。 → …
- Tasks that involve Market research
- SKILL.md covers Core Concepts, 调用方式, 解决认证和算力问题 and Key Parameters, plus 4 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Sellersprite Market Research is an agent skill from linkfox-ai/linkfox-skills. 使用卖家精灵选市场列表能力，基于类目维度筛选亚马逊细分市场，支持市场规模、竞争度、头部集中度、卖家结构、新品占比、价格/评分/毛利区间等大量条件，用于发现可进入市场与评估选品方向。当用户提到亚马逊市场调研、细分类目研究、市场机会筛选、市场集中度分析、新品机会、选市场、SellerSprite market research、category market research时触发此技能。即使用户未明确提及"卖家精灵"，只要需求是按类目维度筛选和评估亚马逊市场，也应触发此技能。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
It sits in Marketing & SEO, covering Market research. The licence is MIT.
When your agent uses it
- Tasks that involve Market research
Example prompts
- “/linkfox-sellersprite-market-research”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 先给出市场候选 Top N，再展示核心指标（市场规模、集中度、新品占比）。
- 入参回显：GoodsCrn / BrandCrn / SellerCrn / EbcProportion / FbaProportion / FbmProportion / AmazonSelfProportion 对应筛选为 0～1 小数；向用户说明时可换算为百分数（如传…
- 其它比例/毛利率等字段的单位以 references/api.md 为准。
- 显示筛选条件回显，便于用户复现。
- 若结果过少或过多，建议用户调整关键阈值（如集中度、规模阈值）。
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Sellersprite Market Research loads about 1.1k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 343 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 linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 343 words, ~1,131 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-sellersprite-market-research/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-sellersprite-market-research
- description
- 使用卖家精灵选市场列表能力，基于类目维度筛选亚马逊细分市场，支持市场规模、竞争度、头部集中度、卖家结构、新品占比、价格/评分/毛利区间等大量条件，用于发现可进入市场与评估选品方向。当用户提到亚马逊市场调研、细分类目研究、市场机会筛选、市场集中度分析、新品机会、选市场、SellerSprite market research、category market research时触发此技能。即使用户未明确提及"卖家精灵"，只要需求是按类目维度筛选和评估亚马逊市场，也应触发此技能。
SellerSprite Market Research
This skill helps screen and rank Amazon category markets using SellerSprite market-research data.
Core Concepts
- 类目市场级分析：不是商品级列表，而是按类目/节点聚合后的市场画像。
- 市场规模：月均销量、月均销售额、商品数量等。
- 竞争结构：卖家/品牌集中度、头部集中度、自营占比、FBA/FBM 占比。
- 入参刻度：筛选用的 GoodsCrn / BrandCrn / SellerCrn / EbcProportion / FbaProportion / FbmProportion / AmazonSelfProportion（
min*/max*）须为 0～1 小数，见下文参数表与references/api.md。 - 新品机会：新品数量、新品占比、新品均价/评分/销量等。
调用方式
- API 端点：
POST /sellersprite/market/research（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/sellersprite_market_research.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sellersprite-market-research-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
Key Parameters
接口筛选项与工具
_sellersprite_market_research一致（70+）；下表为常用子集，完整参数与出参字段见references/api.md。
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| marketplace | string | 是 | 站点编码，默认 US |
| month | string | 否 | nearly 或 yyyyMM |
| nodeIdPath | string | 否 | 类目节点路径 |
| departmentKeyword | string | 否 | 类目关键字路径 |
| page / size | integer | 否 | 分页，默认 1/50，size 最大 200 |
| orderField / orderDesc | string/boolean | 否 | 排序字段与方向；orderDesc 默认 true（降序） |
| minAvgRevenue / maxAvgRevenue | number | 否 | 月均销售额范围 |
| minAvgUnits / maxAvgUnits | integer | 否 | 月均销量范围 |
| minGoodsCount / maxGoodsCount | integer | 否 | 商品数量范围 |
| minGoodsCrn / maxGoodsCrn | number | 否 | 商品集中度（小数 0～1，如 0.4 表示 40%，勿用整数 40） |
| minSellerCrn / maxSellerCrn | number | 否 | 卖家集中度（小数 0～1） |
| minBrandCrn / maxBrandCrn | number | 否 | 品牌集中度（小数 0～1） |
| minAmazonSelfProportion / maxAmazonSelfProportion | number | 否 | Amazon 自营占比（小数 0～1） |
| minFbaProportion / maxFbaProportion | number | 否 | FBA 占比（小数 0～1） |
| minFbmProportion / maxFbmProportion | number | 否 | FBM 占比（小数 0～1） |
| minEbcProportion / maxEbcProportion | number | 否 | A+ 数量占比（小数 0～1） |
| minNewProportion / maxNewProportion | number | 否 | 新品占比（刻度可能与上列不同，以 references/api.md / schema 为准） |
| minAvgPrice / maxAvgPrice | number | 否 | 平均价格范围 |
| minAvgRating / maxAvgRating | number | 否 | 平均评分范围 |
| minAvgProfit / maxAvgProfit | number | 否 | 平均毛利率（%） |
Usage Example
{
"marketplace": "US",
"month": "nearly",
"minAvgRevenue": 10000,
"maxGoodsCrn": 0.4,
"minNewProportion": 10,
"maxSellerCrn": 0.5,
"orderField": "total_amount",
"orderDesc": true,
"page": 1,
"size": 50
}Display Rules
- 先给出市场候选 Top N，再展示核心指标（市场规模、集中度、新品占比）。
- 入参回显：
GoodsCrn/BrandCrn/SellerCrn/EbcProportion/FbaProportion/FbmProportion/AmazonSelfProportion对应筛选为 0～1 小数；向用户说明时可换算为百分数（如传0.4可表述为「商品集中度上限 40%」）。响应data[]里若仍带「(%)」字段，与入参刻度可能不同，以返回为准。 - 其它比例/毛利率等字段的单位以
references/api.md为准。 - 显示筛选条件回显，便于用户复现。
- 若结果过少或过多，建议用户调整关键阈值（如集中度、规模阈值）。
Important Limitations
- 必填参数：
marketplace - 每页最多 200 条
- 历史月份范围受第三方限制（通常近24个月）
算力消耗规则
消耗 15 算力。
用户会因算力消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对算力消耗量预期不足时，务必提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
© linkfox-ai, 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 skills/linkfox-sellersprite-market-research of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/sellersprite_market_research.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Linkfox Sellersprite Market Research 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 |
|---|---|---|---|---|---|---|
| Linkfox Sellersprite Market Research this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Customer ResearchNexus-JPF/note-companion | 870 | 6 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Creative Directorsmixs/creative-director-skill | 247 | — | ~5.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Audience ResearchScrapeCreators/social-media-research-skills | 3.4k | — | ~635 | Automated safety check: Notes | MIT | |
| Last 30 Days Trend Researchnexu-io/open-design | 100k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Bggg Data Redditbinggandata/bggg-skills | 605 | — | ~1.2k | Automated safety check: Pass | MIT |
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Questions about Linkfox Sellersprite Market Research
What does Linkfox Sellersprite Market Research do?
使用卖家精灵选市场列表能力，基于类目维度筛选亚马逊细分市场，支持市场规模、竞争度、头部集中度、卖家结构、新品占比、价格/评分/毛利区间等大量条件，用于发现可进入市场与评估选品方向。当用户提到亚马逊市场调研、细分类目研究、市场机会筛选、市场集中度分析、新品机会、选市场、SellerSprite market research、category market…. Linkfox Sellersprite Market Research is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Sellersprite Market Research?
Linkfox Sellersprite Market Research fits situations like: tasks that involve Market research.
How do I install Linkfox Sellersprite Market Research in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a claude-code`. Or copy the skill folder (skills/linkfox-sellersprite-market-research in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sellersprite-market-research in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Sellersprite Market Research in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a codex`. Or copy the skill folder (skills/linkfox-sellersprite-market-research in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sellersprite-market-research in your project. Codex loads it when a task matches its description.
Can I use Linkfox Sellersprite Market Research 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 linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-sellersprite-market-research, .gemini/skills/linkfox-sellersprite-market-research, .github/skills/linkfox-sellersprite-market-research and .opencode/skills/linkfox-sellersprite-market-research in your project.
What does Linkfox Sellersprite Market Research need to run?
Going by SKILL.md and its folder, Linkfox Sellersprite Market Research needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Sellersprite Market Research 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 Linkfox Sellersprite Market Research 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 Linkfox Sellersprite Market Research use?
Linkfox Sellersprite Market Research 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 Linkfox Sellersprite Market Research use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 3k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Sellersprite Market Research?
Skills that share tags, products or a category with Linkfox Sellersprite Market Research: Customer Research (Nexus-JPF/note-companion, 870 stars), Creative Director (smixs/creative-director-skill, 247 stars), Audience Research (ScrapeCreators/social-media-research-skills, 3.4k stars) and Last 30 Days Trend Research (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Sellersprite Market Research?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.