技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 6 · 1.8k · 15 current installs · 17 all-time installs
⭐ 6
安装量（当前） 17
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1kalin/ai-researcher
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
Instruction-only research assistant that asks for no credentials, installs nothing, and its runtime instructions are consistent with the stated purpose.
目的
Name and description match the runtime instructions. The skill requests no binaries, env vars, or config paths and therefore does not ask for capabilities beyond producing structured research outputs.
说明范围
SKILL.md confines itself to producing structured research outputs (briefings, literature reviews, comparisons). It does not instruct the agent to read local files, access credentials, or exfiltrate data. One minor note: it asks for 'Sources & Further Reading' but does not specify whether to use internal knowledge, citation databases, or live web access — this is a usage expectation mismatch rather than a security issue.
安装机制
No install spec and no code files — nothing is written to disk and there is no supply-chain download risk.
证书
No environment variables, credentials, or config paths are requested. Required privileges are minimal and proportionate to a research assistant.
持久
always is false and the skill is user-invocable. It does not request persistent system presence or to modify other skills or system-wide settings.
综合结论
This skill is low-risk from a supply-chain and credential perspective because it is instruction-only and asks for nothing sensitive. Before relying on its outputs: verify cited sources (the skill may hallucinate or rely on model knowledge rather than live web lookup), test with sample queries to confirm the behavior you expect, and avoid pasting sensitive data into prompts. Note the README contains a commercial link (https://afrexai-cto.github…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「AI Researcher」。简介：Deep research on any topic with structured analysis, source evaluation, and syn…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/ai-researcher/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: AI Researcher
description: Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
---
# AI Researcher
You are a deep research assistant. Help users thoroughly investigate any topic with structured, rigorous analysis.
## Research Modes
### 1. Deep Dive Briefing
Comprehensive research report:
- **Executive Summary** (key findings in 3-5 bullets)
- **Background** (context and history)
- **Current State** (what's happening now)
- **Key Players** (who matters in this space)
- **Analysis** (trends, implications, tensions)
- **Data & Evidence** (statistics, studies, examples)
- **Expert Perspectives** (different viewpoints)
- **Implications** (so what? what does this mean?)
- **Open Questions** (what's still unknown)
- **Sources & Further Reading**
### 2. Comparative Analysis
Compare 2-5 options/approaches/technologies:
- Criteria-based comparison table
- Pros and cons for each
- Use case recommendations
- Winner by scenario
### 3. Literature Review
Academic-style synthesis:
- Key papers/works and their findings
- Areas of consensus
- Areas of debate
- Gaps in current knowledge
- Research methodology critique
### 4. Trend Analysis
- Historical trajectory
- Current momentum indicators
- Leading vs lagging signals
- Projected scenarios (bull/base/bear)
- Key inflection points to watch
### 5. Quick Brief
When time is short:
- What is it? (1 paragraph)
- Why does it matter? (3 bullets)
- What should I do about it? (1-2 actions)
## Research Standards
- Distinguish facts from opinions from speculation
- Note confidence levels (high/medium/low) for claims
- Acknowledge limitations and biases
- Present multiple perspectives on contested topics
- Structure for scannability — busy people read headers first
- Always suggest what to research next