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viralevoviralevo 搜索

Agent Skill

viralevo 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

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OpenClaw

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

MIT-0

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:viralevo(viralevo 搜索)
来源仓库:https://github.com/0xf69/viralevo
安装命令:
openclaw skills install viralevo
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install viralevo

简介

自我进化的病毒内容趋势顾问。监控 11 个平台,预测发布内容和时间,并每周自动提高自身的准确性。

SKILL.md

name
viralevo
description
Self-evolving viral content trend advisor. Monitors 11 platforms, predicts what to post and when, and improves its own accuracy every week automatically.
version
0.6.4
homepage
https://github.com/0xF69/viralevo
user-invocable
true
metadata
{"openclaw":{"emoji":"📈","requires":{"bins":["node","python3"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY","install":[{"id":"node","kind":"node","label":"Install npm dependencies (better-sqlite3, axios, dotenv)"}]}}

ViralEvo — Viral Content Trend Advisor

Version: v0.6.4 | Languages: English / 中文


语言说明 / Language Support

本 Skill 完整支持中文操作。安装完成后,你可以:

  • 用中文与 Agent 对话("今天该发什么内容?")
  • 接收中文版每日报告
  • 用中文关键词监控中文平台内容
  • 在引导设置时选择界面语言

This skill fully supports both English and Chinese. During onboarding, the agent will ask which language you prefer.


What This Skill Does

ViralEvo monitors content platforms, scores trending topics using a weighted formula, predicts lifecycle windows, and automatically adjusts its own prediction weights every week based on how accurate it was.

Three core advantages over manual research:

  1. Catches trends 12–48h early — monitors signal velocity across 11 platforms simultaneously
  2. Learns from your results — when you report your post outcomes, those signals feed back into the model
  3. Self-corrects weekly — every Monday the system reviews its prediction errors and updates its weights automatically

Quick Start

After installation, add your Tavily API key:

echo "TAVILY_API_KEY=tvly-xxxx" >> ~/.openclaw/workspace/.env

Then tell your agent:

"Start ViralEvo setup"
— or in Chinese —
"开始趋势雷达设置"

Or run onboarding directly:

node {baseDir}/scripts/onboarding.js

Natural Language Triggers

When the user reports post results (e.g. "got 80k views", "效果很好"), the agent should:

  1. Search for the matching topic: python3 {baseDir}/scripts/feedback.py --search "<keyword>"
  2. Confirm the match with the user
  3. Log the result: python3 {baseDir}/scripts/feedback.py --topic-id <id> --platform <platform> --views <n>

When the user says any of the following, the agent should run collect → report:

  • "What should I post today?" / "今天该发什么?"
  • "Any trends?" / "有什么趋势?"
  • "Show me the trend report" / "给我看趋势报告"
  • "What's trending in my niche?" / "我的赛道有什么热点?"

When the user says:

  • "Run ViralEvo" / "运行趋势雷达" → run collect then report
  • "Collect trends" / "整理趋势" → run collect only
  • "Generate report" / "生成报告" → run report only
  • "Weekly review" / "周度复盘" → run weekly_review
  • "Show keywords" / "查看关键词" → run keywords --show

Feedback Intake

When the user describes post results, always match to a recent topic, confirm before logging:

  • "The hair clips video got 80k views on TikTok" → match topic, log: views=80000, platform=tiktok
  • "那个AI文章效果很好,小红书5000收藏" → 匹配话题,记录:saves=5000, platform=xiaohongshu

Use the /trend feedback command or natural language — both are accepted.


Available Commands

CommandAction
node {baseDir}/scripts/onboarding.jsFirst-time setup wizard
node {baseDir}/scripts/collect.jsFetch trend signals from all sources
python3 {baseDir}/scripts/report.pyGenerate and output today's report
python3 {baseDir}/scripts/verify.py --hours 24Verify yesterday's predictions
python3 {baseDir}/scripts/verify.py --hours 72Verify 72h-old predictions
python3 {baseDir}/scripts/weekly_review.pyRun self-evolution (Mondays recommended)
python3 {baseDir}/scripts/keywords.py --showView your keyword index
python3 {baseDir}/scripts/keywords.py --add "term"Add a keyword manually
python3 {baseDir}/scripts/keywords.py --remove "term"Remove a keyword
python3 {baseDir}/setup.pyCheck all system requirements
python3 {baseDir}/scripts/feedback.py --listList recent topics to log feedback for
python3 {baseDir}/scripts/feedback.py --search "keyword"Find a topic by keyword
python3 {baseDir}/scripts/feedback.py --topic-id <id> --platform tiktok --views 80000Log post performance
python3 {baseDir}/db/init_db.pyRe-initialize database (use if DB is corrupted)
python3 {baseDir}/scripts/status.pyQuick health check — config, API key, DB, recent data

System Requirements

RequirementMinimumRole
Node.jsv18+Data collection, onboarding
Python3.10+Scoring, reports, self-evolution
OpenClawv2026.1+Agent runtime, scheduling
Tavily API KeyFree tierIndirect platform search

Tavily free tier = 1,000 calls/month. Single niche daily usage ≈ 60–120/month.


Supported Platforms

PlatformMethodConfidence Cap
HackerNewsOfficial Algolia API1.00
Dev.toOfficial API1.00
Product HuntRSS1.00
RedditJSON API (public)0.90
YouTubeTavily search0.70
Twitter / XTavily search0.70
PinterestTavily search0.70
LinkedInTavily search0.70
TikTokTavily search0.65
InstagramTavily search0.65

Supported Niches

AI/Tech · E-commerce · Beauty/Skincare · Fitness/Health · Finance · Gaming · Fashion/Lifestyle · Education · Real Estate · Pets · Custom (11 niches)


Scoring Formula

Total Score =
  (Platform Signal Strength)  × W1  [default 0.25]
+ (Engagement Velocity)       × W2  [default 0.25]
+ (Cross-Platform Spread)     × W3  [default 0.20]
+ (Niche Relevance Score)     × W4  [default 0.15]
+ (Goal Alignment Score)      × W5  [default 0.15]

Constraints: W1+W2+W3+W4+W5 = 1.0 exactly
Each weight: floor=0.08, ceiling=0.45
Max change per weekly review: ±0.05 (±0.10 after algorithm change detection)

Report Output Format

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔥 ViralEvo | AI/Tech | 2026-03-09 08:15
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔴 ACT NOW (Score > 80)
1. OpenClaw Security Issue — 135k instances exposed
   ████████████████████ 93% | Confidence: 0.85
   📅 Detected 14h ago | Source: hackernews
   ⏰ Estimated window: ~42h remaining
   🎯 Post: TODAY

🟡 PREPARE (Score 60–80)
2. OpenAI Government Surveillance Controversy
   ████████████████░░░░ 78% | Confidence: 0.74
   📅 Detected 6h ago | Source: dev.to
   ⏰ Estimated window: ~68h remaining
   🎯 Post: Tomorrow morning

🟢 EVERGREEN (Score < 60)
3. MCP Protocol Enterprise Adoption
   ████████░░░░░░░░░░░░ 44% | Confidence: 0.79
   📅 Steady growth — no spike
   ⏰ Relevant: 30d+
   🎯 Post: Any time this week

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Model Health
  Accuracy     : 58% (44 predictions)
  Sources      : 6/6 ✅
  Tavily usage : 112 / 1,000 this month
  Keyword index: 1,203 terms
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Scheduling (Cron Setup)

ViralEvo runs automatically via OpenClaw's cron system. After onboarding, add these four jobs to your OpenClaw cron config.

How to add cron jobs in OpenClaw:

Tell your agent:

"Add a cron job to run ViralEvo daily at 8am"

Or add manually to ~/.openclaw/openclaw.json:

{
  "cron": {
    "jobs": [
      {
        "id": "viralevo-collect-report",
        "schedule": "0 8 * * *",
        "commands": [
          "node ~/.openclaw/workspace/viralevo/scripts/collect.js",
          "python3 ~/.openclaw/workspace/viralevo/scripts/report.py"
        ]
      },
      {
        "id": "viralevo-verify-24h",
        "schedule": "5 8 * * *",
        "commands": ["python3 ~/.openclaw/workspace/viralevo/scripts/verify.py --hours 24"]
      },
      {
        "id": "viralevo-verify-72h",
        "schedule": "10 8 * * *",
        "commands": ["python3 ~/.openclaw/workspace/viralevo/scripts/verify.py --hours 72"]
      },
      {
        "id": "viralevo-weekly-review",
        "schedule": "0 8 * * 1",
        "commands": ["python3 ~/.openclaw/workspace/viralevo/scripts/weekly_review.py"]
      }
    ]
  }
}
See OpenClaw docs: https://docs.openclaw.ai/automation/cron-jobs

OpenClaw Config (Alternative API Key Setup)

Instead of using .env, you can configure your Tavily key via ~/.openclaw/openclaw.json:

{
  "skills": {
    "entries": {
      "viralevo": {
        "enabled": true,
        "apiKey": "tvly-your-key-here"
      }
    }
  }
}

Self-Evolution Loop

Daily verification (5 min and 65 min after your report time): re-fetches topics predicted 24h ago, compares predicted lifecycle vs actual activity, records error.

Weekly review (every Monday at your report time):

  1. Aggregates all predictions from past 7 days
  2. Calculates accuracy per platform, per topic type
  3. Identifies top 3 sources of systematic error
  4. Proposes weight adjustments (max ±0.05 per weight)
  5. Applies new weights to config.json
  6. Writes report to reports/YYYY-MM-DD_weekly.md
  7. Auto-rolls back if accuracy drops for 2 consecutive weeks

Accuracy Expectations

PeriodExpected Accuracy
Week 1–230–40% (cold start)
Month 255–65%
Month 3+65–75%
Month 6+75%+

Accuracy = prediction within ±20% of actual topic lifecycle.


Data Location

~/.openclaw/workspace/viralevo/
├── config.json              ← niche, weights, schedule
├── user_profile.json        ← onboarding answers, language
├── data/
│   ├── trends.db            ← SQLite database
│   └── backups/             ← daily snapshots, 7-day retention
├── reports/                 ← daily + weekly markdown reports
└── logs/
    └── execution.log

Privacy

All data is stored locally on your machine. The skill makes outbound network requests only to fetch public trend signals:

  • HackerNews, Dev.to, Product Hunt, Reddit: public APIs, no auth required
  • Tavily API: receives only search query strings — no personal data transmitted

⚠️ Disclaimers

ViralEvo provides probabilistic estimates based on publicly available signals. It does not guarantee specific outcomes in views, impressions, followers, or revenue. All predictions are directional guidance — not the sole basis for business decisions. Platform APIs change without notice.


Uninstall

# Step 1: Remove skill from OpenClaw
openclaw skills remove viralevo

# Step 2: Delete local data (optional)
rm -rf ~/.openclaw/workspace/viralevo/

# Step 3: Verify
openclaw skills list
If you reinstall later without deleting Step 2, ViralEvo will resume from your existing data.

Troubleshooting

SymptomFix
"Not configured"Run node {baseDir}/scripts/onboarding.js
"TAVILY_API_KEY not set"Add key to ~/.openclaw/workspace/.env
No topics in reportRun node {baseDir}/scripts/collect.js first
System checkRun python3 {baseDir}/setup.py
Accuracy droppingRun python3 {baseDir}/scripts/weekly_review.py manually
Quick diagnosisRun python3 {baseDir}/scripts/status.py

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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。

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