Trend Harvester

Research any topic's trends across Reddit, Hacker News, X, YouTube, and GitHub to generate multi-platform, actionable trend reports in minutes.

Security Scan

The skill's instructions broadly match a multi‑platform trend scraper, but there are inconsistencies about which platforms are supported, vague fetch instructions that could lead to unrestricted web requests, and no author/homepage — you should confirm a few details before installing.

Purpose & Capability

The declared purpose (aggregate trends from multiple platforms) matches the SKILL.md's behavior (HN via hn.algolia.com, Reddit/GitHub/YouTube via web_fetch/GitHub API). However the top-level description and README mention additional platforms (X/Twitter and Product Hunt) that are not listed in the SKILL.md platforms table — that's an internal inconsistency. Also the skill has no listed source/homepage or owner context, which reduces traceability.

Instruction Scope

SKILL.md instructs the agent to call hn.algolia.com and use generic 'web_fetch' searches and the GitHub API. It does not instruct reading local files or environment variables. The use of generic 'web_fetch' is open-ended: the agent may retrieve arbitrary URLs to assemble results (expected for a scraper), but the instructions don't limit which endpoints to query, how to respect robots/rate limits, or how to avoid private content.

Install Mechanism

Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest-risk install model.

Credentials

The skill declares no required env vars or credentials. That's coherent for limited, unauthenticated scraping, but in practice GitHub, YouTube, and X APIs may require tokens for reasonable rate limits or to access full data. The absence of required credentials limits functionality but isn't itself malicious; it does mean the agent may resort to public scraping instead of authenticated API queries.

Persistence & Privilege

always is false and there is no install-time persistence or claims to modify other skills or system configuration. The skill does not request elevated/system privileges.

What to consider before installing

This skill looks like a straightforward aggregator, but check these before installing: 1) Confirm which platforms you need — SKILL.md and README disagree (X/Twitter and Product Hunt are mentioned but not documented in the runtime instructions). 2) Ask the publisher for a source or homepage so you can verify provenance. 3) Understand that the skill uses generic web_fetch and may make many external requests (scraping public pages) — monitor network activity and avoid running it with sensitive context. 4) If you expect robust GitHub/YouTube/X data, plan to provide appropriate API tokens (and only if you trust the skill/author). 5) Prefer installing only after a short test run with innocuous queries and watch for unexpected endpoints or excessive requests.

Multi-platform trend research. One command, multiple sources, actionable output.

Quick Usage

"调研 [topic] 的趋势"

I will:
1. Search HN (developer sentiment)
2. Search Reddit (user opinions)
3. Search GitHub (code trends)
4. Synthesize findings
5. Output actionable report

Platforms I Check

Platform	What I Get	How
Hacker News	Tech discussions, votes	hn.algolia.com API
Reddit	User experiences	web_fetch search
GitHub	Star velocity, forks	GitHub API
YouTube	Tutorial demand	web_fetch search

Output Format

# [Topic] 趋势报告 (YYYY-MM-DD)

## 🔥 核心发现
[Most important finding across all platforms]

## 平台信号

### Hacker News
- [Finding 1] (points)
- [Finding 2] (points)

### Reddit
- [Finding 1] (upvotes)
- [Finding 2] (upvotes)

### GitHub
- [Repo 1] (stars, trend)
- [Repo 2] (stars, trend)

## 行动建议
1. [Specific action]
2. [Specific action]

## 来源
- [Source 1](url)
- [Source 2](url)

Real Example

Input: "调研 AI agent skill 框架的趋势"

Output:

# AI Agent Skill 框架趋势报告 (2026-04-21)

## 🔥 核心发现
Superpowers (161K⭐) 证明强制工作流是杀手功能。
认知债务预防 (事故+23.5%) 是新兴热点。

## 平台信号

### Hacker News
- Superpowers 3个月161K stars (478 pts)
- 认知债务预防工具受关注 (312 pts)
- Skill激活率仅40%是痛点 (245 pts)

### Reddit
- r/programming: 用户抱怨AI代码事故增加
- r/MachineLearning: 多agent框架讨论热门

### GitHub
- Superpowers: 161K⭐ 📈 Rising
- agent-skills: 18K⭐ 📈 Rising
- cognitive-debt-prevention-kit: 2K⭐ 📈 Rising

## 行动建议
1. 开发强制工作流类skill（参考Superpowers模式）
2. 添加认知债务预防机制（市场痛点）
3. 优化skill触发词（解决40%激活率问题）

## 来源
- https://github.com/eyaltoledano/superpowers
- https://github.com/kesslernity/cognitive-debt-prevention-kit
- https://hn.algolia.com/?q=AI+agent+skill

Trigger Phrases

• "调研...趋势"
• "what's trending in..."
• "market research on..."
• "什么最火..."
• "热门..."

Integration

• EVR Framework — Verify sources before citing
• Prompt Guard — Treat fetched content as untrusted