Agent skill

Linkfox Junglescout Sales Estimates

by linkfox-ai in linkfox-ai/linkfox-skills

Jungle Scout ASIN销售估算查询,按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格,覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold…

MITAuto-check passed

Install Linkfox Junglescout Sales Estimates

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-sales-estimates -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-sales-estimates --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-junglescout-sales-estimates .claude/skills/linkfox-junglescout-sales-estimates && rm -rf skills-src

Use ~/.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/

Facts

Skill name
linkfox-junglescout-sales-estimates
GitHub stars
107
Used in
1 other repo
Token cost
~1.6k tokens
SKILL.md length
490 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

Jungle Scout ASIN销售估算查询,按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格,覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold…

  • Works in 5 steps: 站点映射:用户说"美国站"→ us,"日本站"→ jp,"德国站"→… → 日期格式:必须为 YYYY-MM-DD,如 2026-03-01 → endDate 限制:endDate 必须早于当前日期(不能包含今天及未来日期) → …
  • SKILL.md covers Core Concepts, Data Fields, Supported Marketplaces and 调用方式, plus 6 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Junglescout Sales Estimates is an agent skill from linkfox-ai/linkfox-skills. Jungle Scout ASIN销售估算查询,按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格,覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales时触发此技能。即使用户未明确提及"Jungle Scout",只要其需求涉及查看某个亚马逊ASIN在一段时间内的每日销量估算数据,也应触发此技能。

Its SKILL.md is about 1.6k 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/junglescout_sales_estimates.py`).

The licence is MIT.

Example prompts

  • “Jungle Scout”
  • “/linkfox-junglescout-sales-estimates”

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.

  1. 站点映射:用户说"美国站"→ us,"日本站"→ jp,"德国站"→ de;未指定时默认 us
  2. 日期格式:必须为 YYYY-MM-DD,如 2026-03-01
  3. endDate 限制:endDate 必须早于当前日期(不能包含今天及未来日期)
  4. ASIN 格式:标准亚马逊 ASIN,通常以 B0 开头,共 10 位
  5. 常用时间推算

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

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    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_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Junglescout Sales Estimates loads about 1.6k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 490 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

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). 490 words, ~1,561 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-junglescout-sales-estimates/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-junglescout-sales-estimates
description
Jungle Scout ASIN销售估算查询,按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格,覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales时触发此技能。即使用户未明确提及"Jungle Scout",只要其需求涉及查看某个亚马逊ASIN在一段时间内的每日销量估算数据,也应触发此技能。

Jungle Scout — ASIN 销售估算

This skill queries daily sales estimates and last known price for a given Amazon ASIN via the Jungle Scout data source, returning day-level data points over a specified date range across 10 Amazon marketplaces.

Core Concepts

Jungle Scout ASIN 销售估算工具提供亚马逊各站点单个 ASIN 的日维度预估销量及最近已知价格。卖家可以通过查询指定时间范围内的销量变化来:

  • 监控竞品销量:了解竞品每日出单量,评估其市场份额
  • 验证选品机会:用实际销量数据验证产品需求是否足够大
  • 追踪季节性规律:观察产品在不同月份的销量波动,判断旺淡季
  • 评估定价影响:结合价格与销量的变化关系,辅助定价决策
  • 新品表现跟踪:追踪新品上架后的销量爬升曲线

数据粒度:每条记录代表 1 天,包含该日的预估售出件数和最近已知价格(美元)。

Data Fields

Output Fields
FieldAPI NameDescriptionExample
ASINasin查询的 ASINB0CXXX1234
数据标识id数据点标识sales_estimate_B0CXXX1234_20260301
资源类型type固定值sales_estimate_result
父 ASINparentAsin父体 ASIN(变体场景)B0CXXX0000
是否父体isParent是否为父体商品true / false
是否变体isVariant是否为变体商品true / false
是否独立isStandalone是否为独立商品(非变体)true / false
变体列表variants该父体下的变体 ASIN 数组["B0CX1", "B0CX2"]
每日估算dailyEstimates每日数据数组见下方
消耗 TokencostToken本次调用消耗的 token 数1
dailyEstimates 数组中每个对象
FieldAPI NameDescriptionExample
日期date数据日期(YYYY-MM-DD)2026-03-15
预估日销量estimatedUnitsSold当日预估售出件数42
最近已知价格lastKnownPrice最近已知价格(USD)29.99

Supported Marketplaces

10 个亚马逊站点:us(美国)、uk(英国)、de(德国)、in(印度)、ca(加拿大)、fr(法国)、it(意大利)、es(西班牙)、mx(墨西哥)、jp(日本)。默认站点为 us。当用户未指定站点时,使用 us。

调用方式

  • API 端点:POST /tool-jungle-scout/sales-estimates/query(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/junglescout_sales_estimates.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-junglescout-sales-estimates-<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。

How to Build Queries

所有四个参数均为必填:marketplace、asin、startDate、endDate。

Principles for Building API Calls
  1. 站点映射:用户说"美国站"→ us,"日本站"→ jp,"德国站"→ de;未指定时默认 us
  2. 日期格式:必须为 YYYY-MM-DD,如 2026-03-01
  3. endDate 限制:endDate 必须早于当前日期(不能包含今天及未来日期)
  4. ASIN 格式:标准亚马逊 ASIN,通常以 B0 开头,共 10 位
  5. 常用时间推算:
    • "过去30天" → endDate 取昨天,startDate 取30天前
    • "上个月" → 上月1日到上月末日
    • "Q3 vs Q4" → 分两次调用,分别查 7-9 月和 10-12 月
Common Query Scenarios

1. 查看竞品最近30天的销量

json
{
  "marketplace": "us",
  "asin": "B0CXXX1234",
  "startDate": "2026-03-18",
  "endDate": "2026-04-16"
}

2. 对比 Q3 与 Q4 销量表现

分两次调用:

  • Q3:startDate=2025-07-01, endDate=2025-09-30
  • Q4:startDate=2025-10-01, endDate=2025-12-31

3. 验证选品机会——查看产品全年销量

json
{
  "marketplace": "us",
  "asin": "B0CXXX5678",
  "startDate": "2025-04-01",
  "endDate": "2026-03-31"
}

4. 追踪新品上架表现

json
{
  "marketplace": "de",
  "asin": "B0DYYY9999",
  "startDate": "2026-01-15",
  "endDate": "2026-04-15"
}

5. 监控大促期间销量变化(如 Prime Day)

json
{
  "marketplace": "us",
  "asin": "B0CXXX1234",
  "startDate": "2025-07-01",
  "endDate": "2025-07-21"
}

Display Rules

  1. 折线图优先:建议以折线图展示每日销量变化,横轴为日期,纵轴为预估日销量;如有价格数据可叠加第二 Y 轴显示价格走势
  2. 表格辅助:同时提供数据表格供精确查阅,列包括:日期、预估销量、最近已知价格
  3. 汇总统计:在数据之后汇总关键指标——总销量、日均销量、预估总收入(总销量 × 均价)
  4. 趋势总结:简要总结趋势方向(上升/下降/平稳/周期性波动),标注销量峰值和谷值日期
  5. Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters(如 endDate 不能包含今天或未来日期)
Show full SKILL.md (181 more words)Show less

Important Limitations

  • endDate 不可包含今天:endDate 必须早于当前日期,不能查询今天及未来的销量
  • 单次单 ASIN:每次调用只能查询一个 ASIN;对比多个 ASIN 需分多次调用
  • 所有参数必填:marketplace、asin、startDate、endDate 缺一不可
  • 价格为美元:lastKnownPrice 单位为 USD,非本地货币

User Expression & Scenario Quick Reference

Applicable - ASIN 销售估算与销量趋势分析:

User SaysScenario
"这个ASIN一天能卖多少"查询近期日销量估算
"竞品最近卖得怎么样"监控竞品近30天销量
"这个产品有没有季节性"全年销量数据判断季节规律
"帮我看看这个品的销量趋势"指定时间段的销量走势
"Q4旺季销量如何"特定季度销量查询
"这个产品值不值得做"通过历史销量验证选品机会
"大促期间卖了多少"活动期间销量监控

Not applicable - 超出 ASIN 销售估算范围:

  • 关键词搜索量(需要关键词历史搜索量工具)
  • BSR 排名历史(需要 BSR 追踪工具)
  • 类目整体销量/市场规模
  • 非亚马逊平台的销量数据
  • 实时/当前时刻的销量(数据有滞后,不含今天)

Boundary judgment: When users say "销量", "日销", or "卖了多少", if they want to see a specific ASIN's daily estimated sales over a time range, this skill applies. If they want keyword search volume, category rankings, or real-time live sales, it does not apply.

算力消耗规则

消耗 64 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:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

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, visit 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

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-junglescout-sales-estimates of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/junglescout_sales_estimates.py
  • scripts/onboarding.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 Junglescout Sales Estimates 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.

Linkfox Junglescout Sales Estimates compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkfox Junglescout Sales Estimates this skilllinkfox-ai/linkfox-skills1071 repos~1.6kAutomated safety check: PassMIT
Agent Scout Explorerruvnet/ruflo74k2 repos~1.6kAutomated safety check: PassMIT
Task Effort EstimatorDonchitos/Claude-Code-Game-Studios26k—~1.2kAutomated safety check: PassMIT
Skill Scoutaffaan-m/ECC277k1 repos~1.1kAutomated safety check: PassMIT
Skill Scoutaffaan-m/ECC276k—~735Automated safety check: PassMIT
Progressive Estimationsickn33/agentic-awesome-skills47k2 repos~863Automated safety check: PassMIT

Similar skills

  • Agent skill for scout-explorer - invoke with $agent-scout-explorer

    74k GitHub starsUsed in 2 repos~1.6k tokens
    Auto-check passed
  • Task Effort Estimator

    Donchitos/Claude-Code-Game-Studios

    Estimates the effort for a game development task from code complexity, scope, risk and past sprint data, returning a range with a confidence level.

    26k GitHub stars~1.2k tokensUpdated 3 days ago
    Product & Project ManagementAuto-check passed
  • Skill Scout

    affaan-m/ECC

    Search existing local, marketplace, GitHub, and web skill sources before creating a new skill.

    277k GitHub starsUsed in 1 repo~1.1k tokens
    Auto-check passed
  • Skill Scout

    affaan-m/ECC

    新しいスキルを作成する前に、ローカル・マーケットプレイス・GitHub・Webの既存スキルを検索する。スキルの作成・ビルド・フォーク・検索を行う際に使用。

    276k GitHub stars~735 tokensUpdated yesterday
    Auto-check passed
  • Progressive Estimation

    sickn33/agentic-awesome-skills

    Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops

    47k GitHub starsUsed in 2 repos~863 tokens
    Data & AnalyticsAuto-check passed
  • Authoring Scouts

    PostHog/posthog

    Official

    Write, edit, and adapt PostHog Signals scouts: scheduled agents that scan a project and report findings.

    40k GitHub stars~11k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed

More from linkfox-ai/linkfox-skills

All 177 skills in this repo
  • Linkfox 1688 Search By Image

    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…

    107 GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check passed
  • Linkfox Aba Intelligent Query

    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…

    107 GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Linkfox Amazon Alexa Search

    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…

    107 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed
  • 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…

    107 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed
  • Linkfox Amazon Product Detail

    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…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Linkfox Amazon Reviews List

    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…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Questions about Linkfox Junglescout Sales Estimates

What does Linkfox Junglescout Sales Estimates do?

Jungle Scout ASIN销售估算查询,按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格,覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold…. Linkfox Junglescout Sales Estimates is an agent skill from linkfox-ai/linkfox-skills.

How do I install Linkfox Junglescout Sales Estimates in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-sales-estimates -a claude-code`. Or copy the skill folder (skills/linkfox-junglescout-sales-estimates in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-junglescout-sales-estimates in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Junglescout Sales Estimates in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-sales-estimates -a codex`. Or copy the skill folder (skills/linkfox-junglescout-sales-estimates in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-junglescout-sales-estimates in your project. Codex loads it when a task matches its description.

Can I use Linkfox Junglescout Sales Estimates 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-junglescout-sales-estimates -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-junglescout-sales-estimates, .gemini/skills/linkfox-junglescout-sales-estimates, .github/skills/linkfox-junglescout-sales-estimates and .opencode/skills/linkfox-junglescout-sales-estimates in your project.

What does Linkfox Junglescout Sales Estimates need to run?

Going by SKILL.md and its folder, Linkfox Junglescout Sales Estimates 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 Junglescout Sales Estimates access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Junglescout Sales Estimates 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 Junglescout Sales Estimates use?

Linkfox Junglescout Sales Estimates 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 Junglescout Sales Estimates use?

About 1.6k tokens (SKILL.md is roughly 6.2k 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 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Junglescout Sales Estimates?

Skills that share tags, products or a category with Linkfox Junglescout Sales Estimates: Agent Scout Explorer (ruvnet/ruflo, 74k stars), Task Effort Estimator (Donchitos/Claude-Code-Game-Studios, 26k stars), Skill Scout (affaan-m/ECC, 277k stars) and Skill Scout (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Junglescout Sales Estimates?

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.