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ph-ban-preventionph 禁令预防

Agent Skill

ph-ban-prevention 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

470

周安装

19

GitHub Stars

10

下载量

147
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ph-ban-prevention(ph 禁令预防)
来源仓库:https://github.com/yoanbernabeu/producthunt-skills
仓库路径:skills/ph-ban-prevention
安装命令:
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-ban-prevention
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-ban-prevention

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合围绕仓库状态、代码变更或协作事项进行整理。
  • 可结合来源仓库、安装命令和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • 确保操作不越权且不干扰正常协作流程。ph-ban-prevention 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Product Hunt Ban Prevention

This skill helps you understand and avoid behaviors that could get your product unfeatured, votes removed, or your account banned on Product Hunt.

When to Use This Skill

  • Planning your launch strategy
  • Training team and supporters
  • Reviewing outreach materials
  • Checking compliance before launch
  • Responding to flagged activity

Types of Penalties

1. Vote Removal

  • Individual votes discounted or removed
  • Happens automatically via algorithm
  • May not be immediately visible

2. Product Unfeatured

  • Product removed from homepage
  • Still exists but not visible
  • Can happen mid-launch

3. Shadow Ban

  • Account actions don't count
  • Not notified you're banned
  • Activity appears normal to you

4. Account Suspension

  • Complete account ban
  • Public or private
  • May affect all associated products

Prohibited Behaviors

Category 1: Vote Manipulation 🚫

Absolutely Forbidden:

  • ❌ Buying upvotes
  • ❌ Using upvote services (Fiverr, etc.)
  • ❌ Creating fake accounts to vote
  • ❌ Vote exchange schemes
  • ❌ Paying for votes (even indirectly)

What Happens:

  • Votes removed
  • Product unfeatured
  • Account banned
  • Reputation destroyed

Category 2: Incentivized Voting 🚫

Forbidden:

  • ❌ "Upvote for discount"
  • ❌ "Vote to enter giveaway"
  • ❌ "First 100 upvoters get X"
  • ❌ Any reward tied to voting

What's Allowed:

  • ✓ General launch discounts (not tied to voting)
  • ✓ "PH community gets X" (regardless of vote)
  • ✓ Offers for anyone who visits

Category 3: Explicit Vote Requests 🚫

Forbidden in Any Communication:

  • ❌ "Please upvote"
  • ❌ "Every vote counts"
  • ❌ "Help us reach #1"
  • ❌ "Your upvote means everything"
  • ❌ "Vote for us"

What's Allowed:

  • ✓ "Check it out and share your feedback"
  • ✓ "Would love your support"
  • ✓ "Let us know what you think"
  • ✓ "We launched — take a look!"

Category 4: Coordinated Activity 🚫

Suspicious Patterns:

  • ❌ All votes from same IP/location
  • ❌ All votes in same 10-minute window
  • ❌ Votes from brand new accounts
  • ❌ Identical comment text
  • ❌ Voting rings/groups

What's Allowed:

  • ✓ Staggered supporter outreach
  • ✓ Genuine community members voting
  • ✓ Natural geographic spread
  • ✓ Varied comment styles

Category 5: Self-Promotion Abuse 🚫

Forbidden:

  • ❌ Commenting self-promotion on other products
  • ❌ Spamming discussions with your product
  • ❌ Creating fake discussions about your product

What's Allowed:

  • ✓ Genuinely helpful comments
  • ✓ Mentioning your product when relevant
  • ✓ Participating in related discussions

Category 6: Spam Behavior 🚫

Forbidden:

  • ❌ Mass messaging users
  • ❌ Automated outreach
  • ❌ Repeated submissions
  • ❌ Misleading product information

How Detection Works

Algorithm Signals

Product Hunt's algorithm looks for:

Account Quality:

  • Account age
  • Activity history
  • Engagement patterns
  • Social connections

Vote Patterns:

  • Vote timing distribution
  • Geographic clustering
  • Account similarity
  • Velocity anomalies

Engagement Authenticity:

  • Comment depth
  • Response quality
  • Discussion naturalness

Human Review

Moderators also check for:

  • Reported violations
  • Unusual patterns
  • Community complaints
  • Obvious manipulation

Risk Assessment Checklist

Before Launch

High Risk (Don't Do):

  • Are you using any vote service?
  • Are you offering rewards for votes?
  • Are you asking directly for upvotes?
  • Are new accounts being created to vote?

Medium Risk (Be Careful):

  • Are you sending mass emails at once?
  • Are all supporters voting same time?
  • Do all comments look similar?
  • Are you messaging PH users directly?

Low Risk (But Stay Alert):

  • Is your product clearly explained?
  • Are your claims accurate?
  • Is your offer clearly communicated?

During Launch

Watch For:

  • Sudden drops in vote count
  • Product disappearing from homepage
  • Comments being removed
  • Unusual metric patterns

Safe Practices Guide

Safe Outreach

Email Best Practices:

✓ DO: Send to segmented lists in waves
✓ DO: Personalize messages
✓ DO: Ask for "support" or "feedback"
✓ DO: Respect unsubscribes

✗ DON'T: Send to purchased lists
✗ DON'T: Use same message for everyone
✗ DON'T: Ask for "upvotes"
✗ DON'T: Spam non-subscribers

Social Media Best Practices:

✓ DO: Share authentically
✓ DO: Spread posts throughout day
✓ DO: Engage with responses
✓ DO: Thank supporters

✗ DON'T: Post same link repeatedly
✗ DON'T: Use engagement pods
✗ DON'T: Ask for votes publicly
✗ DON'T: Spam hashtags

Safe Supporter Activation

Do:

  • Activate in waves (not all at once)
  • Use different time zones
  • Encourage genuine comments
  • Let people vote if they want

Don't:

  • Coordinate exact voting times
  • Script identical comments
  • Pressure reluctant people
  • Force anyone to participate

Safe Messaging Templates

Instead of: "Please upvote our product!" Say: "We just launched — would love your feedback!"

Instead of: "Every vote counts!" Say: "Your support means a lot to us."

Instead of: "Help us reach #1!" Say: "Check it out and let us know what you think."

Instead of: "Vote to win a prize" Say: "PH community gets 20% off (no vote required)"

If Something Goes Wrong

If Votes Are Removed

Don't:

  • Panic
  • Spam more outreach
  • Create new accounts
  • Complain publicly

Do:

  • Review your practices
  • Continue quality engagement
  • Focus on genuine community
  • Accept the result

If Product Is Unfeatured

Steps:

  1. Stop all outreach immediately
  2. Review potential violations
  3. Contact PH support (calmly, factually)
  4. Prepare explanation if asked
  5. Learn for next time

If Account Is Flagged

Steps:

  1. Do not create new accounts
  2. Contact support@producthunt.com
  3. Be honest about practices
  4. Accept the decision
  5. Rebuild reputation over time

Compliance Checklist

Pre-Launch Audit

Outreach Materials:

  • No explicit vote requests
  • No vote-for-reward offers
  • Genuine, helpful language
  • Personalized content

Supporter Briefing:

  • Instructed not to script comments
  • Explained staggered timing
  • Emphasized genuine engagement
  • No pressure to participate

Technical:

  • Not using vote services
  • Not using bots
  • Real user accounts only
  • Natural geographic distribution

Launch Day Monitoring

  • Watching for unusual patterns
  • Not over-activating if behind
  • Responding genuinely to comments
  • Not panicking about ranking

Documentation (Just in Case)

Keep records of:

  • Your outreach list (legitimate contacts)
  • Your supporter communication
  • Your email/social templates
  • Timeline of activities

Output Format

COMPLIANCE CHECK FOR: [Product Name]

RISK ASSESSMENT:

High-Risk Behaviors:
☐ [Behavior] - [Status: Clear/At Risk/Violation]

Medium-Risk Behaviors:
☐ [Behavior] - [Status]

OUTREACH REVIEW:
Email template: [Compliant/Needs revision]
Social posts: [Compliant/Needs revision]
Supporter briefing: [Complete/Incomplete]

RECOMMENDED CHANGES:
1. [Specific change needed]
2. [Specific change needed]

OVERALL STATUS: [Ready / Needs Work / High Risk]

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.46%
按下载量换算54

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29.89%
按下载量换算44

Cursor

17.6%
按下载量换算26

Gemini CLI

8.82%
按下载量换算13

安全审计

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通过

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通过

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通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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