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在 OpenClaw 中安装
/install vibe-research-cn
功能描述
Conduct AI-led research with autonomous literature review, hypothesis generation, analysis, and synthesis while human provides vision.
安全使用建议
This skill appears to be a legitimate autonomous research workflow, but there are documentation contradictions and operational risks you should address before installing:
- Confirm network requirements: the README claims 'Works offline' and 'No external dependencies' but the instructions repeatedly call web_search/web_fetch and mandate fetching many sources. Ask the skill author or maintainer whether the agent will actually perform online searches and whether it can function without network access.
- Data-sensitivity check: avoid giving the agent any sensitive inputs (PHI, proprietary documents) unless you fully trust how the platform's web_search/web_fetch tools handle and store fetched data; the skill is designed to proactively pull external sources which could cause unintended data transmission.
- Human checkpoints: enforce the three mandatory stop points in practice (clarification, plan approval, final report) and consider adding explicit confirmation steps before starting large automated fetch/analysis cycles.
- Reproducibility/storage: clarify where the 'reproducibility package' and fetched sources are stored, how long they are retained, and who can access them.
- Rate/resource controls: because the skill instructs many web searches and fetches, limit or monitor the number of cycles and network requests to avoid unexpected bandwidth, cost, or scraping of third-party sites.
- Validate citations and provenance in outputs: the skill mandates APA citations and cross-verification—spot-check early outputs for proper sourcing and accuracy.
If the author can explain/resolve the offline/no-dependency claims and confirm safe handling of fetched data, the inconsistencies would be addressed. Until then, proceed cautiously and avoid exposing sensitive data to the skill.
功能分析
Type: OpenClaw Skill
Name: vibe-research-cn
Version: 1.0.0
The 'vibe-research-cn' skill bundle is a comprehensive framework for conducting AI-led academic research. The code and instructions (SKILL.md, README.md, pipeline.md) focus entirely on methodology, literature synthesis, and citation standards, utilizing standard OpenClaw tools like web_search and web_fetch for their intended purposes. There are no indicators of data exfiltration, malicious execution, or prompt injection attacks designed to subvert the agent's behavior.
能力评估
Purpose & Capability
The skill's name, description, and instructions consistently describe an autonomous literature-review and analysis pipeline. Asking the agent to run web_search/web_fetch and assemble reproducibility artifacts is appropriate for the stated purpose. However, README and other files claim 'No external dependencies' and 'Works offline,' which contradicts the repeated use of network fetch tools and 100+ source retrieval—this is an important incoherence to resolve.
Instruction Scope
SKILL.md, pipeline.md, example.md and quickref instruct the agent to perform broad web_search and web_fetch cycles (count=20, 100+ sources minimum), to 'pull additional sources' proactively, and to 'execute ALL cycles' autonomously. The instructions do not tell the agent to read unrelated local files or environment secrets, which is good, but they grant broad discretion to fetch and aggregate large amounts of external content—this is expected for research but increases privacy and data-exfiltration risk if the agent is given access to sensitive inputs (e.g., PHI). The offline/no-external-dependency claim in README conflicts with these explicit network operations.
Install Mechanism
Instruction-only skill with no install spec, no binaries, and no code files. No on-disk installation or archive downloads are requested, which is low-risk from an install vector perspective.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. That aligns with the skill's claimed behavior (uses platform search/fetch tools). There are no obvious requests for unrelated secrets or platform tokens.
Persistence & Privilege
always:false and default autonomous invocation are set. The skill does not request permanent presence or elevated privileges, nor does it instruct modifying other skills or global agent settings.
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 vibe-research-cn - 安装完成后，直接呼叫该 Skill 的名称或使用
/vibe-research-cn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
Vibe Research 1.0.0 – Initial release
- Enables AI-led research: autonomous literature review, hypothesis generation, analysis, and synthesis, with human vision guiding the process.
- Defines transparent research pipeline with full-cycle agent ownership—gap identification, literature synthesis, hypothesis generation, analysis, execution, and synthesis.
- Emphasizes transparency, proactive gap detection, hallucination prevention, and clear division of roles (human vision, agent execution).
- Provides mechanisms for citation, reproducibility, confidence flagging, and ongoing human validation of key findings.
- Includes quick reference to research pipeline and risk mitigation documentation.
元数据
常见问题
Vibe Research 是什么？
Conduct AI-led research with autonomous literature review, hypothesis generation, analysis, and synthesis while human provides vision. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 62 次。
如何安装 Vibe Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vibe-research-cn」即可一键安装，无需额外配置。
Vibe Research 是免费的吗？
是的，Vibe Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Vibe Research 支持哪些平台？
Vibe Research 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 Vibe Research？
由 JIRBOY（@jirboy）开发并维护，当前版本 v1.0.0。
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