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Scientific Thinking
作者
Agents365.ai
· GitHub ↗
· v1.0.0
· MIT-0
206
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install scientific-thinking
功能描述
Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...
安全使用建议
This is an instruction-only meta-skill that appears coherent and low-risk: it asks the agent to follow a structured reasoning checklist and does not request secrets or install binaries. Before installing, note that README suggests cloning the repo into your user skill directories (which will write files under your home). Also be aware that the skill's instruction to 'retrieve' missing evidence implies the agent may use whatever tools or web access it already has; if you run the agent with web or file access enabled, expect it may fetch external sources — review tool permissions and prefer agents with restricted external access if you want to limit network/file activity. Finally, as with any reasoning skill, verify important factual claims with primary sources and request explicit citations when needed.
功能分析
Type: OpenClaw Skill
Name: scientific-thinking
Version: 1.0.0
The 'scientific-thinking' skill bundle is a collection of Markdown and YAML instructions designed to guide an AI agent through structured, evidence-based reasoning for research tasks. It contains no executable code, shell commands, or network requests, and its instructions (SKILL.md, checks.md, examples.md) are entirely focused on logical decomposition, evidence calibration, and scientific integrity without any indicators of malicious intent or prompt injection attacks.
能力标签
能力评估
Purpose & Capability
Name and description match the SKILL.md content. The skill requests no credentials, binaries, or config paths and does not attempt to perform unrelated actions. The guidance and examples are appropriate for a scientific-reasoning meta-skill.
Instruction Scope
Runtime instructions focus on reasoning steps (framing, decomposing, labeling evidence, ranking hypotheses, calibrating claims, next steps). They do not tell the agent to read arbitrary local files, exfiltrate data, or contact third-party endpoints. One minor note: the guidance says 'retrieve [missing evidence] or explicitly label as provisional' — which reasonably permits using the agent's available tools (web search, databases) but is not itself a data-exfiltration instruction.
Install Mechanism
There is no formal install spec in the package (instruction-only). README shows manual git clone commands for optional installation to user skill directories, which is standard and expected; no remote binary downloads or archive extraction are present in the skill metadata.
Credentials
The skill declares no required environment variables, credentials, or config paths. Nothing in SKILL.md accesses secrets or unrelated environment data.
Persistence & Privilege
Flags indicate default behavior (always: false, agent invocation allowed). The skill does not request permanent presence or elevated privileges and does not instruct modifying other skills or global agent configuration.
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 scientific-thinking - 安装完成后，直接呼叫该 Skill 的名称或使用
/scientific-thinking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
Initial release of the "scientific-thinking" skill.
- Provides a structured framework for scientific reasoning, problem framing, evidence evaluation, hypothesis comparison, and argument construction.
- Emphasizes clear distinction between evidence types (fact, inference, hypothesis) and calibration of claim strength.
- Outlines a stepwise methodology, including consideration of alternative explanations and explicit definition of boundaries and uncertainties.
- Offers detailed output structure and concise style guidance for research-oriented tasks.
- Compatible with any LLM-based agent on major platforms; no external dependencies.
元数据
常见问题
Scientific Thinking 是什么？
Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 206 次。
如何安装 Scientific Thinking？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install scientific-thinking」即可一键安装，无需额外配置。
Scientific Thinking 是免费的吗？
是的，Scientific Thinking 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Scientific Thinking 支持哪些平台？
Scientific Thinking 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, win32）。
谁开发了 Scientific Thinking？
由 Agents365.ai（@agents365-ai）开发并维护，当前版本 v1.0.0。
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