Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
亚马逊店铺 Feed 批量数据提交与处理状态管理。用于创建 Feed 文档、向预签名地址上传 Feed 内容、提交库存或 Listing 等批量文件、查询或列出 Feed、获取结果文档以及取消 Feed。用户提到亚马逊 Feed、批量更新库存或商品、提交 Listing Feed、POSTFLATFILE、feedType、feedDocumentId、feedId、Feed…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-feeds -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-feeds --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-amazon-store-feeds .claude/skills/linkfox-amazon-store-feeds && 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-amazon-store-feeds" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-feeds into .claude/skills/linkfox-amazon-store-feeds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-feeds", 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-amazon-store-feedsType 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-amazon-store-feeds -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-feeds --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-amazon-store-feeds .agents/skills/linkfox-amazon-store-feeds && 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-amazon-store-feeds" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-feeds into .agents/skills/linkfox-amazon-store-feeds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-feeds", 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-amazon-store-feeds -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-feeds --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-amazon-store-feeds .cursor/skills/linkfox-amazon-store-feeds && 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-amazon-store-feeds" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-feeds into .cursor/skills/linkfox-amazon-store-feeds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-feeds", 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-amazon-store-feeds--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-amazon-store-feeds -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-feeds --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-amazon-store-feeds .gemini/skills/linkfox-amazon-store-feeds && 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-amazon-store-feeds" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-feeds into .gemini/skills/linkfox-amazon-store-feeds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-feeds", 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-amazon-store-feedsInstalls 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-amazon-store-feeds -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-amazon-store-feeds .github/skills/linkfox-amazon-store-feeds && 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-amazon-store-feeds" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-feeds into .github/skills/linkfox-amazon-store-feeds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-feeds", 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-amazon-store-feeds -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-amazon-store-feeds --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-amazon-store-feeds .opencode/skills/linkfox-amazon-store-feeds && 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-amazon-store-feeds" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-feeds into .opencode/skills/linkfox-amazon-store-feeds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-feeds", 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.
linkfox-amazon-store-feeds亚马逊店铺 Feed 批量数据提交与处理状态管理。用于创建 Feed 文档、向预签名地址上传 Feed 内容、提交库存或 Listing 等批量文件、查询或列出 Feed、获取结果文档以及取消 Feed。用户提到亚马逊 Feed、批量更新库存或商品、提交 Listing Feed、POSTFLATFILE、feedType、feedDocumentId、feedId、Feed…
Linkfox Amazon Store Feeds is an agent skill from linkfox-ai/linkfox-skills. 亚马逊店铺 Feed 批量数据提交与处理状态管理。用于创建 Feed 文档、向预签名地址上传 Feed 内容、提交库存或 Listing 等批量文件、查询或列出 Feed、获取结果文档以及取消 Feed。用户提到亚马逊 Feed、批量更新库存或商品、提交 Listing Feed、POSTFLATFILE、feedType、feedDocumentId、feedId、Feed 处理状态、Feed 结果、取消 Feed、Feeds API 时触发。即使未明确说“Feed”,只要希望通过亚马逊 SP-API 批量提交结构化商品或库存数据,也应触发此技能;单个 Listing 的增删改查使用 linkfox-amazon-store-listings。
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/_spapi_feeds_common.py`).
It sits in Documents & Office, covering CSV and tabular files. It works with Python. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
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.
Ships 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
developer-docs.amazon.comskill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LINKFOXAGENT_API_KEYLINKFOX_AGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Amazon Store Feeds loads about 1.5k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 345 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.
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.
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 345 words, ~1,471 tokens.
.claude/skills/linkfox-amazon-store-feeds/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.本 skill 与 linkfox-amazon-store-auth 等同属 Amazon Store 系列:依赖 linkfox-amazon-store-auth 选店(sellerId+region);直接 POST /spApi/developerProxy 传入 sellerId+region,由服务端解析 token(勿传 amzAccessToken,除非兼容旧调用)。转发 GET / POST / DELETE。
POST /spApi/developerProxy(不同操作通过请求体区分;完整参数/响应/错误码见 references/api.md)python scripts/<脚本名>.py '<JSON 参数>' [--inline](可用脚本见上文脚本一览)输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-amazon-store-feeds-<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)total/costToken、最大列表字段的长度 + 前 3 条样本)--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。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。| 能力 | 文档 |
|---|---|
| createFeedDocument | createFeedDocument |
| getFeedDocument | getFeedDocument |
| createFeed | createFeed |
| getFeed | getFeed |
| getFeeds | getFeeds |
| cancelFeed | cancelFeed |
linkfox-amazon-store-auth;运行 python scripts/check_auth_dependency.py,exit 42 时需先安装授权 skill。feedType 须与上传文件格式匹配(见 Amazon Feed Type Values 文档)。create_feed_document.py → 得到 feedDocumentId 与 url(上传地址)。upload_feed_document.py → 对 url PUT 上传 feed 文件(不经 developerProxy)。create_feed.py → 传入 inputFeedDocumentId、feedType、marketplaceIds。get_feed.py / get_feeds.py → 轮询 processingStatus(如 IN_QUEUE、IN_PROGRESS、DONE、FATAL)。get_feed_document.py 下载 resultFeedDocumentId 对应文档(再按返回 URL 自行下载结果文件)。| 能力 | path | method | 脚本 |
|---|---|---|---|
| createFeedDocument | feeds/2021-06-30/documents | POST | create_feed_document.py |
| getFeedDocument | feeds/2021-06-30/documents/{feedDocumentId} | GET | get_feed_document.py |
| createFeed | feeds/2021-06-30/feeds | POST | create_feed.py |
| getFeed | feeds/2021-06-30/feeds/{feedId} | GET | get_feed.py |
| getFeeds | feeds/2021-06-30/feeds | GET | get_feeds.py |
| cancelFeed | feeds/2021-06-30/feeds/{feedId} | DELETE | cancel_feed.py |
| 上传文档内容 | createFeedDocument 返回的 URL | PUT | upload_feed_document.py |
共享模块:_spapi_feeds_common.py。
export LINKFOXAGENT_API_KEY="<your-key>"
python scripts/create_feed_document.py '{"sellerId":"A1...","region":"NA","contentType":"text/tab-separated-values; charset=UTF-8"}'
python scripts/upload_feed_document.py '{"uploadUrl":"<from createFeedDocument>","contentType":"text/tab-separated-values; charset=UTF-8","filePath":"./inventory.tsv"}'
python scripts/create_feed.py '{"sellerId":"A1...","region":"NA","feedType":"POST_FLAT_FILE_INVLOADER_DATA","marketplaceIds":["ATVPDKIKX0DER"],"inputFeedDocumentId":"<feedDocumentId>"}'developerProxy.errcode / httpStatus;createFeedDocument 常为 201,createFeed 常为 202。nextToken 作为下一请求的 paginationToken 参数名在 Amazon 侧为 nextToken(脚本字段名 nextToken)。uploadUrl 是否过期、Content-Type 是否与 createFeedDocument 一致。feeds/2021-06-30/ 前缀。feedType、TSV/XML 格式以官方为准。references/api.md。同一店铺连续收到 Amazon SP-API 的 400、403、404 或 429 时,网关会返回 450、453、454 或 459 并短暂冷却。这些自定义状态码不是 Amazon 原生状态,也不表示封号;目的是避免持续异常或高频调用扩大店铺风险。
| 状态与 message | 范围 | 触发与冷却 | 处理 |
|---|---|---|---|
450:400,请求异常,请优化您的参数 | 店铺+接口 | 60 秒内超过 3 次:5 分钟;10 分钟内超过 4 次:20 分钟 | 停止原参数重试,检查必填字段、marketplace、ID、日期和请求体 |
453:403,店铺未授权,请先授权 | 店铺全部接口 | 60 秒内超过 2 次:5 分钟;10 分钟内超过 4 次:30 分钟 | 停止该店铺调用,检查授权、权限、店铺归属和区域 |
454:404,资源不存在,请优化您的参数 | 店铺+接口 | 60 秒内超过 3 次:5 分钟;10 分钟内超过 4 次:30 分钟 | 确认资源 ID、所属店铺/站点、资源状态和接口路径 |
459:429限流中,请降低频率 | 店铺+接口 | 首次:15 秒;2 分钟内超过 2 次:30 秒;3 分钟内超过 4 次:2 分钟 | 降低并发、分页和轮询频率并逐级退避 |
retryAfter、blockedUntil,没有时按表中时长说明。reportId、feedId 等任务 ID;写操作结果不确定时先查询状态,不直接重放。不消耗算力。
Feedback: skillName:linkfox-amazon-store-feeds。
更多跨境 skill:LinkFox Skills
© 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
SKILL.md and 12 other files (scripts, references) in skills/linkfox-amazon-store-feeds of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Amazon Store Feeds 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 Amazon Store Feeds this skilllinkfox-ai/linkfox-skills | 107 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Sap Rpt1secondsky/sap-skills | 462 | — | ~1.8k | Automated safety check: Notes | GPL-3.0 | |
| Replicate Paperbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Regression Insightrongxinzy/RongxinAI | 154 | — | ~839 | Automated safety check: Pass | MIT | |
| Meta Forest Binary Plotaipoch/medical-research-skills | 2k | — | ~2.1k | Automated safety check: Pass | MIT |
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
secondsky/sap-skills
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets.
brycewang-stanford/Auto-Empirical-Research-Skills
Run a full 6-phase autonomous replication of a biomedical/epidemiology paper against UK Biobank or similar cohort data, producing Python and R scripts plus a validated replication report.
rongxinzy/RongxinAI
对 CSV/Excel 数据执行线性回归(OLS)或逻辑回归(Logistic),一键输出完整统计结果(包含回归系数、R²、p值、VIF等)和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性(VIF),或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。
aipoch/medical-research-skills
Generate meta-analysis forest plots for binary classification data.
aAAaqwq/AGI-Super-Team
Process, transform, analyze, and report on CSV and JSON data files.
linkfox-ai/linkfox-skills
1688平台以图搜图,通过商品图片精准检索外观相似或同款的1688货源,返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
linkfox-ai/linkfox-skills
亚马逊ABA(品牌分析)搜索词数据的查询与分析,涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
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通过亚马逊前台的 Alexa 购物助手发起自然语言问答,获取与问题相关的导购回答、推荐商品分组、ASIN 列表,以及可继续追问的问题。每次调用仅支持 1 条 prompt,如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
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亚马逊反向选品:基于历史商业洞察报告沉淀的指标数据池,按 30+ 项商业维度(市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等)反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息,包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等;可在取得原始HTML时尝试提取Item Highlights(商品亮点)。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
Works with
Categories
亚马逊店铺 Feed 批量数据提交与处理状态管理。用于创建 Feed 文档、向预签名地址上传 Feed 内容、提交库存或 Listing 等批量文件、查询或列出 Feed、获取结果文档以及取消 Feed。用户提到亚马逊 Feed、批量更新库存或商品、提交 Listing Feed、POSTFLATFILE、feedType、feedDocumentId、feedId、Feed…. Linkfox Amazon Store Feeds is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Amazon Store Feeds fits situations like: tasks that involve CSV and tabular files.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-feeds -a claude-code`. Or copy the skill folder (skills/linkfox-amazon-store-feeds in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-amazon-store-feeds in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-feeds -a codex`. Or copy the skill folder (skills/linkfox-amazon-store-feeds in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-amazon-store-feeds in your project. Codex loads it when a task matches its description.
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-amazon-store-feeds -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-amazon-store-feeds, .gemini/skills/linkfox-amazon-store-feeds, .github/skills/linkfox-amazon-store-feeds and .opencode/skills/linkfox-amazon-store-feeds in your project.
Going by SKILL.md and its folder, Linkfox Amazon Store Feeds needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOXAGENT_API_KEY and LINKFOX_AGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
SKILL.md names 2 domains. As links in the text: developer-docs.amazon.com and skill.linkfox.com. This is read from the text; nothing was executed.
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.
Linkfox Amazon Store Feeds is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k 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 1.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Amazon Store Feeds: Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Sap Rpt1 (secondsky/sap-skills, 462 stars), Replicate Paper (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Regression Insight (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.