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Deep Search Pro
作者
aiwithabidi
· GitHub ↗
· v1.0.0
751
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当前安装
1
版本数
在 OpenClaw 中安装
/install deep-search-pro
功能描述
Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro). Supports focus modes: int...
使用说明 (SKILL.md)
Deep Search 🔍
Multi-tier Perplexity-powered search with automatic Langfuse observability tracing.
When to Use
- Quick facts and simple lookups →
quicktier - Standard research, comparisons, how-to →
protier - Deep analysis, market research, complex questions →
deeptier - Academic paper search, news monitoring, Reddit/YouTube research
Usage
# Quick search (sonar, ~2s)
python3 {baseDir}/scripts/deep_search.py quick "what is OpenClaw"
# Pro search (sonar-pro, ~5-8s)
python3 {baseDir}/scripts/deep_search.py pro "compare Claude vs GPT-4o for coding"
# Deep research (sonar-reasoning-pro, ~10-20s)
python3 {baseDir}/scripts/deep_search.py deep "full market analysis of AI agent frameworks"
# Focus modes
python3 {baseDir}/scripts/deep_search.py pro "query" --focus academic
python3 {baseDir}/scripts/deep_search.py pro "query" --focus news
python3 {baseDir}/scripts/deep_search.py pro "query" --focus youtube
python3 {baseDir}/scripts/deep_search.py pro "query" --focus reddit
Tiers
| Tier | Model | Speed | Best For |
|---|---|---|---|
| quick | sonar | ~2s | Simple facts, quick lookups |
| pro | sonar-pro | ~5-8s | Research, comparisons |
| deep | sonar-reasoning-pro | ~10-20s | Deep analysis, complex questions |
Environment
PERPLEXITY_API_KEY— Required. Perplexity API key.OPENROUTER_API_KEY— Optional. For Langfuse tracing model pricing.
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.
📅 Need help setting up OpenClaw for your business? Book a free consultation
安全使用建议
Do not install blindly. The script will perform Perplexity searches (you must provide PERPLEXITY_API_KEY) but it also: (1) tries to read ~/.openclaw/openclaw.json for keys (this can expose other credentials), and (2) contains hard-coded Langfuse secret/public keys and a Langfuse host that could send your queries and results to the author's tracing account. Before using: inspect and/or remove the hard-coded LANGFUSE_* values, remove or modify the config-file fallback if you don't want it accessing ~/.openclaw/openclaw.json, or run the script in an isolated environment. If you trust the author and intentionally want Langfuse tracing, set LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, and LANGFUSE_HOST to your own values instead of relying on those embedded in the code. Also note SKILL.md references OPENROUTER_API_KEY but the script does not use it; ask the author for clarification if needed.
功能分析
Type: OpenClaw Skill
Name: deep-search-pro
Version: 1.0.0
The skill is classified as suspicious due to a hardcoded Langfuse secret key (`sk-lf-115cb6b4-7153-4fe6-9255-bf28f8b115de`) in `scripts/deep_search.py`, which is a security vulnerability. Additionally, the script attempts to read the `~/.openclaw/openclaw.json` configuration file for API keys, which, while for its stated purpose, represents a broad permission to access a potentially sensitive local file. The skill also logs search queries and results to a local Langfuse instance (`http://langfuse-web:3000`), raising privacy considerations, though it's not exfiltrating data to an external malicious actor. There is no evidence of intentional malicious behavior such as data exfiltration to external parties, unauthorized remote control, or persistence mechanisms.
能力评估
Purpose & Capability
The skill's stated purpose (Perplexity multi-tier search with Langfuse tracing) matches the code: it calls Perplexity's chat/completions endpoint and optionally uses Langfuse. However, the code also tries to read ~/.openclaw/openclaw.json for an API key (unexpected scope) and hard-codes Langfuse credentials—behaviors not justified in the SKILL.md.
Instruction Scope
SKILL.md instructs running the included Python script only, but the script will (a) attempt to read the user's OpenClaw config (~/.openclaw/openclaw.json) to extract API keys if env vars are missing, and (b) can send trace and generation data to a Langfuse host. Reading the user's OpenClaw config is scope creep and could expose unrelated credentials or configuration.
Install Mechanism
No install spec; the skill is instruction-only plus a Python script and only requires python3 on PATH. No downloads or archive extraction are performed by an installer.
Credentials
Declared required env var is PERPLEXITY_API_KEY (reasonable). But the code also reads PPLX_API_KEY and falls back to ~/.openclaw/openclaw.json for keys (not declared). Critically, the script sets default LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY values directly in source—this embeds third-party tracing credentials and could route your queries/outputs to the author's Langfuse account unless you override them.
Persistence & Privilege
The skill does not request permanent installation or set always:true and does not modify other skills. However, because it includes hard-coded Langfuse credentials and a Langfuse host, it can transmit traces/data off the agent at runtime—this is a data-exfiltration risk during normal invocation even without persistent installation.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install deep-search-pro - 安装完成后，直接呼叫该 Skill 的名称或使用
/deep-search-pro触发 - 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
Multi-tier Perplexity search with Langfuse tracing
元数据
常见问题
Deep Search Pro 是什么？
Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro). Supports focus modes: int... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 751 次。
如何安装 Deep Search Pro？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install deep-search-pro」即可一键安装，无需额外配置。
Deep Search Pro 是免费的吗？
是的，Deep Search Pro 完全免费（开源免费），可自由下载、安装和使用。
Deep Search Pro 支持哪些平台？
Deep Search Pro 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 Deep Search Pro？
由 aiwithabidi（@aiwithabidi）开发并维护，当前版本 v1.0.0。
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