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bear-review

by wisp-science

给一个观点，同时检索支持它的文献和反对它的文献，在一份综合报告里呈现正反两侧的证据格局——支持侧最强证据是什么、反对侧最危险的挑战是什么、哪些角度有支持但无反对、哪些角度有反对但无支持。底层走真实检索（scimaster-cli），绝不编造引用。 **以下情况请主动触发本技能**：用户想同时看到"支持和反对"、"这个观点稳不稳"、"帮我做一个全面的论点评估"、"正反两面都找一找"——即使没有说"bear-review"，只要意图是**对一个观点做完整的证据格局分析**，就使用本技能。 不适用于：只找支持（用 bear-support）、只找反对（用 bear-counter）、选题查重（用 bear-scoop）、概念地图（用 bear-map）、溯源演化史（用 bear-trace）。

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Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install wisp-science-bear-review
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Claude Code

~/.claude/skills/<skill>/SKILL.md

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npx @skills-hub-ai/cli install wisp-science-bear-review --target claude-code
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Frequently asked questions about bear-review

What does the bear-review skill do?

给一个观点，同时检索支持它的文献和反对它的文献，在一份综合报告里呈现正反两侧的证据格局——支持侧最强证据是什么、反对侧最危险的挑战是什么、哪些角度有支持但无反对、哪些角度有反对但无支持。底层走真实检索（scimaster-cli），绝不编造引用。 **以下情况请主动触发本技能**：用户想同时看到"支持和反对"、"这个观点稳不稳"、"帮我做一个全面的论点评估"、"正反两面都找一找"——即使没有说"bear-review"，只要意图是**对一个观点做完整的证据格局分析**，就使用本技能。 不适用于：只找支持（用 bear-support）、只找反对（用 bear-counter）、选题查重（用 bear-scoop）、概念地图（用 bear-map）、溯源演化史（用 bear-trace）。 It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

How do I install the bear-review skill?

Run `npx @skills-hub-ai/cli install wisp-science-bear-review` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/wisp-science-bear-review/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does bear-review work with?

bear-review runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the bear-review skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use bear-review after installing it?

In Claude Code, type `/wisp-science-bear-review` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the bear-review skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.