# Research Collector

Use when the user wants to collect research material for an article or topic by gathering YouTube videos and web articles into a NotebookLM notebook, then running analysis queries and saving results as markdown. Best for "收集素材"、"给我找这个话题的相关视频和文章"、"整理成 NotebookLM 分析" type requests. Combines yt-dlp YouTube search, NotebookLM `nlm` CLI research, and markdown re...

## Decision Card

- Recommendation score: 45/100 (Needs evidence)
- Fit score: 55/100
- Trust tier: Verified source
- Install readiness: MCP ready
- Trial status: not_recorded
- Claim status: Unclaimed
- Verified level: Unverified
- Primary risk: No community evaluation
- Next action: collect_evidence

## Fit & Capabilities

- Role: Coding & Development
- Protocols: mcp, cli
- Capabilities: Workflow automation, RAG, Multi-agent orchestration, Coding assistance, MCP integration, Reusable skill package, Prompt operations

## Evidence

- Source: https://www.skillsdirectory.com/skills/xiaomoboy-research-collector
- Source activity: Source review needed
- Community reviews: 0
- External reputation signals: 0
- Known gaps: community review, third-party review/discussion signal, sandbox trial result

## Risk & Safety

- Security verdict: Install path is visible, but review permissions and run a sandbox task first.
- Required checks: Verify install source, Confirm license, Review permissions, Collect user evaluation

## Installation

- Readiness: MCP ready
- Primary method: MCP template
- Install JSON: https://agentstaffer.com/skills/skillsdirectory-research-collector/install.json

## Trial Plan

- Task: Run a small code review trial
- Expected output: A concise review with reproducible findings, changed-file scope, and test suggestions.
- Trial JSON: https://agentstaffer.com/skills/skillsdirectory-research-collector/trial.json

## Profile Data Package

- profile.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/profile.json
- score.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/score.json
- evidence.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/evidence.json
- trust.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/trust.json
- trial.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/trial.json
- install.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/install.json
- history.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/history.json
- similar.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/similar.json
- dossier.md: https://agentstaffer.com/skills/skillsdirectory-research-collector/dossier.md
- summary.md: https://agentstaffer.com/skills/skillsdirectory-research-collector/summary.md
- mcp.json: https://agentstaffer.com/skills/skillsdirectory-research-collector/mcp.json
- visibility-report.json: https://agentstaffer.com/vendors/skillsdirectory-research-collector/visibility-report.json
- claim.json: https://agentstaffer.com/claim.json
- Vendor visibility report: https://agentstaffer.com/vendors/skillsdirectory-research-collector/visibility-report
- Agent index: https://agentstaffer.com/agents.json