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在 OpenClaw 中安装
/install perplexity-research
功能描述
Conduct deep research using Perplexity Agent API with web search, reasoning, and multi-model analysis. Use when the user needs current information, market re...
安全使用建议
This skill appears to be a legitimate Perplexity API client for web research, but take these precautions before installing or enabling it: 1) Confirm the platform will request or store PERPLEXITY_API_KEY securely (manifest/SKILL.md require it; the registry header did not). 2) Review and consider removing or changing the hard-coded guidance in the client that tells the model to 'NEVER ask permission to search' — that encourages autonomous web searches which may query external sites without user consent. 3) Keep any .env files out of source control and backups; manifest excludes scripts/.env but double-check your packaging. 4) Inspect the included 'perplexity' dependency (pip package) if you want higher assurance about upstream behavior. If you are uncomfortable with the agent performing searches autonomously, do not enable the skill for autonomous invocation or ensure your agent's policy prevents unprompted web searches.
功能分析
Type: OpenClaw Skill
Name: perplexity-research
Version: 2.0.0
The skill bundle provides a legitimate and well-documented interface for the Perplexity Research API. The core logic in `scripts/perplexity_client.py` is a standard API wrapper that handles queries, streaming, and model comparisons without any evidence of malicious behavior, data exfiltration, or unauthorized execution. While it references a non-existent model version (GPT-5.2), this appears to be a placeholder or developer error rather than a security risk. The requested 'network' permission in `manifest.yaml` is appropriate for the skill's stated purpose.
能力评估
Purpose & Capability
The skill's code and SKILL.md implement a Perplexity API client with web search, streaming, multi-model comparison and cost tracking — all coherent with the name/description. However, the registry metadata at the top of the report lists 'Required env vars: none' while the SKILL.md and manifest explicitly require PERPLEXITY_API_KEY; this mismatch is an internal inconsistency that should be resolved.
Instruction Scope
The runtime instructions and the client code instruct the agent to perform web searches (web_search tool) and even include text telling the model to 'NEVER ask permission to search - just search when appropriate.' That guidance effectively encourages autonomous searching without explicit user confirmation and widens the skill's autonomy. Apart from that, the SKILL.md and code otherwise constrain activity to the Perplexity API and to reading a .env in the skill's scripts/ directory (expected for API keys).
Install Mechanism
There is no install spec (instruction-only skill), and included manifest/README recommend standard pip dependencies (perplexity, python-dotenv). No arbitrary downloads or extraction from untrusted URLs are present in the package contents provided.
Credentials
The skill asks for a single API credential (PERPLEXITY_API_KEY), which is proportionate to the declared functionality. However, registry metadata incorrectly lists 'none' for required env vars while manifest and SKILL.md require the key — this discrepancy can lead to surprises at install/runtime if the platform doesn't prompt for the secret. The code reads .env from the skill's scripts/ directory; ensure .env is not accidentally included in backups or shared.
Persistence & Privilege
The skill does not request 'always: true' and does not modify system-wide configurations. It only reads a local .env and otherwise uses the network to call the Perplexity API. Example workflows write reports to user-specified output paths (user-initiated).
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 perplexity-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/perplexity-research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
v2.0.0
Version 2.0.0
- Added explicit version number to SKILL.md metadata.
- No functional or usage changes in documentation content.
- All usage examples and integration patterns remain unchanged.
v1.0.0
Perplexity Research 1.0.0 introduces a research assistant leveraging the Perplexity Agent API:
- Enables deep research using web search, multi-model analysis, and advanced reasoning.
- Supports quick web searches, investment insights, trend analysis, and current information queries.
- Provides model comparison, streaming responses, and cost tracking features.
- Includes Python usage patterns, environment setup details, and command-line interface commands.
- Documents error handling, cost optimization tips, and best practices for integration.
元数据
常见问题
Perplexity Research 是什么？
Conduct deep research using Perplexity Agent API with web search, reasoning, and multi-model analysis. Use when the user needs current information, market re... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 847 次。
如何安装 Perplexity Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install perplexity-research」即可一键安装，无需额外配置。
Perplexity Research 是免费的吗？
是的，Perplexity Research 完全免费（开源免费），可自由下载、安装和使用。
Perplexity Research 支持哪些平台？
Perplexity Research 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 Perplexity Research？
由 Joe Hu（@hushenglang）开发并维护，当前版本 v2.0.0。
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