Linkfox Amazon Reviews List

What it does

When your agent uses it

• Tasks that involve Customer feedback analysis

Example prompts

• “/linkfox-amazon-reviews-list”

Requirements

• Python 3
• A credential in LINKFOX_AGENT_API_KEY
• A credential in LINKFOXAGENT_API_KEY

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

1. 1首次执行脚本只调用 /amazon/reviews/async/submit，保存并立即返回 taskId，不得在同一次脚本调用内等待结果。不要因任务仍在运行或单次查询失败而重新提交。
2. 2提交参数与原评论参数一致，不传 provider；后端根据 domainCode 自动选择 Pango 或 Apify，实际供应商可从响应的 provider 查看。
3. 3Agent 可继续执行用户请求中的其他独立工作；需要结果时，使用原参数再次执行脚本，或传入 {"taskId":"..."}。每次执行只调用一次 /amazon/reviews/async/result 并立即返回，不在脚本内部循环或休眠。
4. 4根据当前实测经验，Pango 通常约 10~30 秒、Apify 通常约 15~60 秒返回，这不是 SLA。脚本会返回 estimatedReadyInSeconds 和…
5. 5从任务创建时间起最多观察 200 秒。窗口内若为 PENDING 或 RUNNING，保留原 taskId，继续其他工作，约 10~20 秒后再查询；SUCCEEDED：读取 result；FAILED：向用户说明 error…
6. 6超过 200 秒仍为 PENDING 或 RUNNING 时返回 POLL_TIMEOUT 并停止自动查询，让用户选择：继续查询同一个 taskId，或停止查询并放弃本次结果。不得自动提交新任务。当前没有手动取消端点；后端只会自动取消等待执行资源超时且尚未调用供应商的…
7. 7未读取任务从提交起最多保留 4 小时；首次读取到 SUCCEEDED、FAILED 或 CANCELLED 终态后，后端立即删除任务。脚本将成功结果保存到本地文件，任务缓存只保留“已领取”和文件路径。原参数与 taskId 在同一工作目录内共用任务记录；24h…
8. 8查询返回“任务不存在或已过期”时停止，不得自动创建新的付费任务。只有用户明确要求重试时才能重新提交。
9. 9提交、PENDING、RUNNING、FAILED、CANCELLED 和 POLL_TIMEOUT 均不得按预计公式记为实际消耗；实际扣费只认首次成功领取结果时响应返回的 X-Cost-Token/costToken，不得由 Agent 自行推算或补记。

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 Amazon Reviews List loads about 2.5k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 978 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~111

When it runs · the whole SKILL.md, loaded when a task matches

~2.5k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~5.9k

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

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). 978 words, ~2,543 tokens.

name

linkfox-amazon-reviews-list

description

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 analysis, positive review analysis, star rating filter, review sentiment analysis, product improvement insights, Vine reviews, competitor reviews, customer feedback时触发此技能。即使用户未明确说"评论"，只要其需求涉及读取、筛选或分析亚马逊商品的买家评论，也应触发此技能。

{"asin": "B08N5WRWNW", "domainCode": "com", "star1Num": 10, "star2Num": 10, "star3Num": 10, "star4Num": 10, "star5Num": 10, "sortBy": "recent"}

{"asin": "B08N5WRWNW", "domainCode": "de", "star1Num": 30, "star2Num": 30, "filterByKeyword": "quality", "reviewerType": "avp_only_reviews"}

{"asin": "B08N5WRWNW", "domainCode": "co.jp", "star5Num": 50, "star1Num": 0, "star2Num": 0, "star3Num": 0, "star4Num": 0, "sortBy": "helpful", "mediaType": "media_reviews_only"}

{"asin": "B0FP5C63HZ", "domainCode": "com", "star3Num": 100}

© 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-amazon-reviews-list of linkfox-ai/linkfox-skills.

• SKILL.md
• references/api.md
• references/onboarding.md
• scripts/amazon_reviews.py
• scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Used in 1 other repository

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.

• infometa/workbuddyskillsconnectors/linkfox/skills/linkfox-amazon-reviews-listexperts/linkfox-expert-amazon-listing-specialist/skills/linkfox-amazon-reviews-list