Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-market-researchgit clone --depth 1 https://github.com/linkfox-ai/linkfox-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-sellersprite-market-research)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-sellersprite-market-research"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-sellersprite-market-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-sellersprite-market-research"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-sellersprite-market-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 84 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00161 | $0.01989 |
| Opus 5 | $0.00081 | $0.00994 |
| Sonnet 5 | $0.00032 | $0.00398 |
| Haiku 4.5 | $0.00016 | $0.00199 |
Grade A, and why
linkfox-sellersprite-market-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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：本工具会消耗积分；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。
解决认证和积分问题
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
- 响应提示积分或余额不足：消息含"积分余额不足/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（%） |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 114 lines · 161 tokens per session scan A 3dd84f854911
linkfox-sellersprite-market-research is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 161 tokens to every session and 1,989 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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