Pierre Highlights
pierrecomputer/pierre
Shows how to use @pierre/highlights for syntax-highlighted HTML or tokens, streaming and incremental tokenizing, and Zed-compatible themes with CSS variables.
通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-request --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-keepa-product-request .claude/skills/linkfox-keepa-product-request && 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-keepa-product-request" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-request into .claude/skills/linkfox-keepa-product-request/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-request", 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-keepa-product-requestType 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-keepa-product-request -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-request --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-keepa-product-request .agents/skills/linkfox-keepa-product-request && 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-keepa-product-request" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-request into .agents/skills/linkfox-keepa-product-request/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-request", 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-keepa-product-request -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-request --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-keepa-product-request .cursor/skills/linkfox-keepa-product-request && 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-keepa-product-request" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-request into .cursor/skills/linkfox-keepa-product-request/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-request", 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-keepa-product-request--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-keepa-product-request -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-request --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-keepa-product-request .gemini/skills/linkfox-keepa-product-request && 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-keepa-product-request" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-request into .gemini/skills/linkfox-keepa-product-request/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-request", 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-keepa-product-requestInstalls 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-keepa-product-request -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-keepa-product-request .github/skills/linkfox-keepa-product-request && 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-keepa-product-request" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-request into .github/skills/linkfox-keepa-product-request/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-request", 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-keepa-product-request -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-keepa-product-request --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-keepa-product-request .opencode/skills/linkfox-keepa-product-request && 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-keepa-product-request" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-request into .opencode/skills/linkfox-keepa-product-request/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-request", 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-keepa-product-request通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…
Linkfox Keepa Product Request is an agent skill from linkfox-ai/linkfox-skills. 通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product details, ASIN detail lookup, monthly sales data, pricing info, product specifications, FBA fees, batch ASIN query时触发此技能。即使用户未明确提及"Keepa",只要其需求涉及获取一个或多个亚马逊ASIN的结构化商品数据,也应触发此技能。
Its SKILL.md is about 2.4k 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/keepa_product_detail.py`).
The licence is MIT.
9 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 2 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):
skill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Keepa Product Request loads about 2.4k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 1,129 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). 1,129 words, ~2,351 tokens.
.claude/skills/linkfox-keepa-product-request/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill guides you on how to retrieve Amazon product details via the Keepa product request API, helping Amazon sellers and analysts obtain structured product data for one or more ASINs across multiple Amazon marketplaces.
The Keepa Product Request API returns detailed product listing data from Amazon, sourced through Keepa. Given one or more ASINs and a marketplace, it returns comprehensive product information: pricing, title, Item Highlights (itemHighlights, when available), main image, listing date, material, weight, dimensions, sales rank, monthly sales units (current and up to 12 months of history), FBA fees, ratings, review counts, category tree, and more.
Key points:
domain parameter is a numeric marketplace ID (e.g., 1 = Amazon.com US), not a country code.history to 1 includes historical sales data (monthly sales for up to 12 prior months, average sales rank over 30/90/180 days). Setting it to 0 returns only current product information.products[].itemHighlights is a single string of short product information separate from title; it may be null, blank, or absent. It requires no extra request parameter and can be returned with history=0.features) or a full description.Numeric Amazon marketplace ID. The mapping is:
| Domain ID | Marketplace |
|---|---|
| 1 | Amazon.com (US) |
| 2 | Amazon.co.uk (UK) |
| 3 | Amazon.de (Germany) |
| 4 | Amazon.fr (France) |
| 5 | Amazon.co.jp (Japan) |
| 6 | Amazon.ca (Canada) |
| 8 | Amazon.it (Italy) |
| 9 | Amazon.es (Spain) |
| 10 | Amazon.in (India) |
| 11 | Amazon.com.mx (Mexico) |
| 12 | Amazon.com.br (Brazil) |
Default to 1 (US) when the user does not specify a marketplace.
One or more Amazon Standard Identification Numbers. For multiple ASINs, separate with commas. Maximum 5 ASINs per request, with a total string length limit of 300 characters.
Whether to include historical data such as monthly sales for the past 12 months and average sales rank over 30/90/180 days. Set to 1 to include history, 0 (default) for basic info only.
1. Single ASIN lookup (US marketplace, basic info)
{"asin": "B0088PUEPK", "domain": "1"}2. Single ASIN with historical sales data
{"asin": "B0088PUEPK", "domain": "1", "history": 1}3. Batch lookup of multiple ASINs (Germany)
{"asin": "B0088PUEPK,B00U26V4VQ,B07M68S376", "domain": "3", "history": 1}4. Product lookup on Amazon Japan
{"asin": "B09V3KXJPB", "domain": "5", "history": 0}5. Competitor comparison across multiple ASINs (US, with sales history)
{"asin": "B0CXYZ1234,B0CXYZ5678,B0CXYZ9012,B0CXYZABCD", "domain": "1", "history": 1}POST /keepa/productRequest(完整参数/响应/错误码见 references/api.md)python scripts/keepa_product_detail.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-keepa-product-request-<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。currency field in the response indicates the local currency.0 or -1 indicate data is unavailable. Do not display these as actual measurements; instead note "N/A" or omit them.imageUrl is present, display the product image to help users visually identify the product.products[].itemHighlights from the full response, not just the stdout summary or columns. Display the original value separately from title. If it is missing, null, or blank, label it "未返回/不可用"; do not infer that the Amazon listing lacks it or reconstruct it from title, bullets, or description.itemHighlights and available upstream data. Do not promise a value for every ASIN.asin parameter has a maximum length of 300 characters.history is set to 1.lastUpdate field indicates when the product data was last refreshed.Applicable -- Product data retrieval by ASIN:
| User Says | Scenario |
|---|---|
| "Look up this ASIN", "Get product details for B0XXXXXXXX" | Single ASIN lookup |
| "查这个 ASIN 的 Item Highlights", "标题之外的商品亮点/补充信息" | Retrieve existing itemHighlights separately from title |
| "What's the price of this product on Amazon" | Price query |
| "How many units does this product sell per month" | Monthly sales check |
| "Compare these ASINs", "batch lookup these products" | Multi-ASIN comparison |
| "Show me the sales trend for this ASIN" | Historical sales analysis |
| "What category is this product in" | Category / classification lookup |
| "Product dimensions", "how much does it weigh" | Physical specs query |
| "FBA fees for this product" | Fee estimation |
| "When was this product listed", "listing date" | Listing age / launch date |
| "Is this product FBA or FBM" | Fulfillment method check |
Not applicable -- Needs beyond ASIN-level product data:
title and itemHighlights is supported)Boundary judgment: When users say "product research" or "competitor analysis", if they have specific ASINs and want structured product data (price, sales, dimensions, category), this skill applies. If they want keyword-level analysis, market-wide trends without specific ASINs, or advertising metrics, this skill does not apply.
按动态规则计费:消耗算力 = 0.045 × 本次商品详情查询消耗的 Keepa token。
重要:本技能的服务按倍数动态计算,可能一次性消耗大量算力,必须提醒用户,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:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set 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 4 other files (scripts, references) in skills/linkfox-keepa-product-request of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
We found 2 copies 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.
Linkfox Keepa Product Request 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 Keepa Product Request this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Pierre Highlightspierrecomputer/pierre | 6.3k | — | ~409 | Automated safety check: Pass | Apache-2.0 | |
| Action Items List Managerasgeirtj/system_prompts_leaks | 69k | — | ~4.9k | Automated safety check: Pass | CC0-1.0 | |
| Document To Action ItemsNousResearch/hermes-agent | 252k | — | ~976 | Automated safety check: Pass | MIT | |
| Meeting Action ItemsNousResearch/hermes-agent | 252k | — | ~950 | Automated safety check: Pass | MIT | |
| Add Permission Group Itemsimstudioai/sim | 30k | — | ~8.3k | Automated safety check: Pass | Apache-2.0 |
pierrecomputer/pierre
Shows how to use @pierre/highlights for syntax-highlighted HTML or tokens, streaming and incremental tokenizing, and Zed-compatible themes with CSS variables.
asgeirtj/system_prompts_leaks
Maintains a private to-do list stored as a JSON file in the assistant's notes: adding tasks, recording what is awaited, tracking blockers and closing finished items.
NousResearch/hermes-agent
Extract cited obligations, deadlines, tasks from documents. An agent skill from NousResearch/hermes-agent.
NousResearch/hermes-agent
Turn meeting notes into cited decisions, owners, tickets. An agent skill from NousResearch/hermes-agent.
simstudioai/sim
Add a new governed item to Sim's enterprise permission groups — a boolean restriction, an allowlist, or a denylist — wired end-to-end from the field registry through the capability rule to the…
simstudioai/sim
Audit an existing enterprise permission-group item end-to-end — registry entry, schemas, type, defaults, tolerant parser, admin UI, capability rule, enforcement site, and tests — proving the gate…
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…
linkfox-ai/linkfox-skills
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…
linkfox-ai/linkfox-skills
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…
通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…. Linkfox Keepa Product Request is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a claude-code`. Or copy the skill folder (skills/linkfox-keepa-product-request in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-keepa-product-request in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a codex`. Or copy the skill folder (skills/linkfox-keepa-product-request in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-keepa-product-request 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-keepa-product-request -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-keepa-product-request, .gemini/skills/linkfox-keepa-product-request, .github/skills/linkfox-keepa-product-request and .opencode/skills/linkfox-keepa-product-request in your project.
Going by SKILL.md and its folder, Linkfox Keepa Product Request 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.
SKILL.md names 1 domain. As links in the text: 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 Keepa Product Request is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.4k 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.
Skills that share tags, products or a category with Linkfox Keepa Product Request: Pierre Highlights (pierrecomputer/pierre, 6.3k stars), Action Items List Manager (asgeirtj/system_prompts_leaks, 69k stars), Document To Action Items (NousResearch/hermes-agent, 252k stars) and Meeting Action Items (NousResearch/hermes-agent, 252k 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.