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dylanbaker24

Last 30 Days (Lite)

作者 dylanbaker24 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
3389
总下载
2
收藏
11
当前安装
1
版本数
在 OpenClaw 中安装
/install last30days-lite
功能描述
Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts.
使用说明 (SKILL.md)

last30days 📅

Research any topic using recent (last 30 days) discussions from Reddit, X/Twitter, and the web. Returns synthesized insights and actionable prompts.

Overview

The AI world reinvents itself monthly. This skill keeps you current by researching what people are actually saying right now - not what worked six months ago.

What it does:

  • Searches the web, Reddit, and X/Twitter with freshness filters (last 30 days)
  • Finds real practitioner experiences, not just SEO content
  • Synthesizes findings into actionable insights
  • Generates copy-paste prompts based on current best practices

Best for:

  • Prompt research (what techniques actually work for ChatGPT, Midjourney, Claude, etc.)
  • Trend discovery (what's viral, what people are recommending)
  • Product feedback (what do real users think about X?)
  • Fast-moving topics where recency matters

Requirements:

  • Brave Search (built into Clawdbot)
  • bird CLI for X/Twitter (optional but recommended)
  • No extra API keys needed

Usage

When user asks for recent info on a topic, or uses "/last30days [topic]":

Step 1: Web Search (Brave with freshness)

web_search(query="[topic]", freshness="pm", count=5)
  • pm = past month
  • Also try: pd (24h), pw (week)

Step 2: Reddit Search

web_search(query="site:reddit.com [topic]", freshness="pm", count=5)

Focus on r/ClaudeAI, r/ChatGPT, r/LocalLLaMA, r/MachineLearning, r/StableDiffusion, etc.

Step 3: X/Twitter Search

bird search "[topic]" -n 10 --plain

Look for practitioners sharing real experiences, not just engagement bait.

Step 4: Deep Dive (optional)

For promising URLs, use web_fetch to get full content:

web_fetch(url="https://reddit.com/...", maxChars=10000)

Step 5: Synthesize

Combine findings into:

  1. Key patterns - What are people actually doing that works?
  2. Common mistakes - What should be avoided?
  3. Tools/techniques - Specific methods mentioned
  4. Copy-paste prompt (if applicable) - Ready-to-use prompt incorporating best practices

Output Format

## 📅 Last 30 Days: [Topic]

### What's Working
- [Pattern 1]
- [Pattern 2]

### Common Mistakes
- [Mistake 1]

### Key Techniques
- [Technique with source]

### Sources
- [URL 1] - [brief description]
- [URL 2] - [brief description]

### Ready-to-Use Prompt (if applicable)

[Generated prompt based on findings]

Examples

  • /last30days Midjourney v7 prompting
  • /last30days Claude Code best practices
  • /last30days what are people saying about M4 MacBook
  • /last30days Suno music prompts that actually work

Notes

  • No extra API keys needed (uses Brave + bird)
  • Bird requires X/Twitter cookies (already configured)
  • Focus on signal over noise - prioritize upvoted content and verified practitioners
安全使用建议
This skill appears to do what it says, but it implicitly relies on the bird CLI + existing X/Twitter cookies that are not declared. Before installing: (1) confirm whether you want the agent to use your local X cookies (bird may read cookie files or other local config) — if not, do not install or remove bird; (2) ask the author which file(s) or paths bird needs and whether cookies or tokens are read/stored, and request explicit declaration of required config paths or env vars; (3) if you must use it, run bird in a sandboxed account or environment with only the credentials you intend to expose; (4) remember web_fetch retrieves arbitrary URLs (might fetch sensitive content if given links) — review outputs for accidental data leakage. If the author clarifies where bird expects cookies and updates the manifest to declare those config paths, this assessment could move to benign.
功能分析
Type: OpenClaw Skill Name: last30days-lite Version: 1.0.0 The `SKILL.md` file instructs the AI agent to execute a shell command, specifically `bird search "[topic]" -n 10 --plain`. The `[topic]` variable is user-controlled input. Direct execution of shell commands with unsanitized user input is a high-risk capability that can lead to shell injection vulnerabilities, allowing an attacker to execute arbitrary commands on the host system. While the stated purpose of searching X/Twitter is benign, the method of execution introduces a significant security risk without clear evidence of intentional malicious behavior from the skill author.
能力评估
Purpose & Capability
The skill's functionality (Brave web search + Reddit + X/Twitter) matches its description. However the registry metadata marks the bird binary as required while the SKILL.md calls bird 'optional but recommended' — a minor inconsistency but not fatal.
Instruction Scope
Instructions ask the agent to run web_search/web_fetch and run 'bird search'. web_fetch will retrieve arbitrary URLs (expected for this task). The SKILL.md explicitly states 'Bird requires X/Twitter cookies (already configured)' — it thus assumes access to local browser/cookie state but does not instruct how cookies are sourced or declare those paths. That implicit access is out-of-band and concerning.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing is automatically written to disk by the skill itself (low install risk).
Credentials
No environment variables or config paths are declared, yet the skill depends on bird and 'already configured' X/Twitter cookies. Expecting access to user cookies (secrets) without declaring them is disproportionate and opaque. The skill should declare where credentials/cookies are expected and what access is required.
Persistence & Privilege
The skill does not request always:true and does not declare modifications to other skills or system settings. Autonomous invocation is allowed but is the platform default (not flagged alone).
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install last30days-lite
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /last30days-lite 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release - research any topic across Reddit, X, and web from the last 30 days. No extra API keys needed.
元数据
Slug last30days-lite
版本 1.0.0
许可证
累计安装 11
当前安装数 11
历史版本数 1
常见问题

Last 30 Days (Lite) 是什么?

Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 3389 次。

如何安装 Last 30 Days (Lite)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install last30days-lite」即可一键安装,无需额外配置。

Last 30 Days (Lite) 是免费的吗?

是的,Last 30 Days (Lite) 完全免费(开源免费),可自由下载、安装和使用。

Last 30 Days (Lite) 支持哪些平台?

Last 30 Days (Lite) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Last 30 Days (Lite)?

由 dylanbaker24(@dylanbaker24)开发并维护,当前版本 v1.0.0。

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