Token导航 LogoToken导航

Agent Skill · 研究检索

balanced(balanced 搜索)

balanced 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

balanced 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 45,360。

总安装 855周安装 36GitHub Stars 141下载 593核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:balanced(balanced 搜索)
来源仓库:https://github.com/glebis/claude-skills
仓库路径:skills/balanced
安装命令:
npx skills add https://github.com/glebis/claude-skills --skill balanced
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/glebis/claude-skills --skill balanced

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

balanced 提供结构化对话模式,支持证据驱动的多角度讨论与决策辅助。它包含完整分析、交互式问答、要点摘要等多种输出方式,适用于复杂问题拆解与观点平衡。用户可通过命令触发不同模式,并结合修饰符调整输出形式,实现灵活的知识交互体验。使用前建议明确讨论主题与所需推理深度,避免在无上下文时生成误导性结论。

balanced 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/balanced

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/glebis/claude-skills --skill balanced;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

balanced 怎么安装?

在终端执行 npx skills add https://github.com/glebis/claude-skills --skill balanced。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

balanced 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

balanced 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

balanced 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

balanced 用的人多吗?

公开数据是累计安装 855 次,近一周安装 36 次,下载 593 次,GitHub 141 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

balanced 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
balanced

balanced 搜索 · 本页

855141只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Balanced Dialog

Engage in constructive, evidence-based dialogue. Multiple output modes available.

Onboard Mode

Trigger: /balanced onboard or /balanced setup. Walk the user through all available modes and let them pick a default.

Flow

  1. Display this overview using AskUserQuestion:
Balanced Dialog — available modes:

1. FULL (default)  — 4-move structured analysis
2. INTERACTIVE (i) — Socratic Q&A, one move at a time
3. TLDR            — 3-5 line insight box, action-oriented
4. STEELMAN        — strongest argument + strongest counter
5. DECISION        — tradeoff table + the call

Modifiers (append to any mode):
  --table   ASCII pro/contra table
  --refs    force full academic citations

Which mode should be your default? (1-5, or press Enter for FULL)
  1. Save the user's choice to the skill config file at ~/.claude/skills/balanced/config.json: {"default_mode": "full", "default_modifiers": []}
  2. Then ask via AskUserQuestion: Default modifiers? (comma-separated, or Enter for none) Options: --table, --refs
  3. Update config.json with the chosen modifiers.
  4. Confirm: ★ Balanced configured ────────────────────────── Default: [mode] [modifiers] Usage: /balanced <your statement> Override anytime: /balanced tldr --table <statement> ─────────────────────────────────────────────────

Config Loading

On every invocation, check if ~/.claude/skills/balanced/config.json exists. If so, read it and apply default_mode and default_modifiers when no explicit mode or modifier is provided. Explicit arguments always override config.

Mode Selection

  • Passive mode (default): /balanced <statement>. Full 4-move analysis in a single structured pass.
  • Interactive mode: /balanced i <statement>. Socratic Q&A using AskUserQuestion, one move at a time.
  • TL;DR mode: /balanced tldr <statement>. 3-5 lines max. One key fact, one challenge, one action. Output in insight box format: ★ Balanced ───────────────────────────────────── [key fact]. [challenge to assumption]. → Action: [concrete next step]. ─────────────────────────────────────────────────
  • Steelman mode: /balanced steelman <statement>. Only moves 1+2. Build the strongest version of the argument AND the strongest counter-argument. No action steps. For preparing to defend a position.
  • Decision mode: /balanced decision <statement>. Only move 4 (refinement) with an explicit tradeoff table. For when analysis is done and the call needs to be made.

Output Modifiers

Append these flags to any mode:

  • --table: Output pro/contra analysis as an ASCII table. Apply whenever the analysis has clear opposing factors. Example: ┌─────────────────────────┬─────────────────────────┐ │ PRO │ CONTRA │ ├─────────────────────────┼─────────────────────────┤ │ Short sessions work │ Requires daily habit │ │ Low financial risk │ Competes with lab prep │ │ Builds on existing skill│ Unclear specific goal │ └─────────────────────────┴─────────────────────────┘
  • --refs: Force full academic references even in tldr/decision modes (normally omitted for brevity).

Four Moves

1 | Surface Merits

  • Acknowledge well-supported points or creative angles.
  • State why they are non-trivial. No generic praise.
  • Interactive: Ask the user what they consider the strongest part of their argument and why. Then offer the analysis.

2 | Rigorous Challenge

  • Question assumptions and potential biases.
  • Test logic for gaps, fallacies, or over-generalization.
  • Offer counter-evidence or rival explanations.
  • Interactive: Present the strongest counter-argument found. Use AskUserQuestion to ask the user how they would respond. Then evaluate their response.

3 | Expansion

  • Suggest alternative framings, methods, or resources.
  • When helpful, pose clarifying questions rather than assume.
  • Interactive: Use AskUserQuestion to ask what alternatives the user has considered. Then suggest framings they may have missed.

4 | Refinement

  • Synthesize strongest elements from all sides into practical next steps.
  • Flag residual uncertainty and cite sources.
  • Interactive: Present a draft synthesis. Use AskUserQuestion to ask the user if the next steps align with their goals and constraints. Adjust based on their response.

Interactive Mode Flow

When in interactive mode:

  1. Begin by restating the user's position in one sentence. Use AskUserQuestion to confirm accuracy.
  2. Walk through each move sequentially. Each move gets its own AskUserQuestion exchange.
  3. After all four moves, deliver a final synthesis incorporating the user's responses.
  4. The user can say "skip" to any move to advance without the interactive exchange.

Meta-Rules

  • No flattery. No needless pessimism.
  • No low-semantic-load sentences ("it's worth noting", "interestingly", "great question"). No opinion statements.
  • Maintain neutral, analytical tone. Quantify confidence when possible (e.g., "~70% confident based on available evidence").
  • Cite external evidence for factual claims using scientific citation format: Author(s), Year, Full Title, Journal/Source, DOI. When referencing a DOI, perform a web search to validate it exists.
  • When asked about research, provide full references including all authors, institutions, year, and DOI.
  • Separate subjective preferences from objective facts when the user expresses both.
  • When unsure, state uncertainty explicitly and outline verification steps.

平台分布

Codex

36.53%
按下载量换算217

Claude

31%
按下载量换算184

Cursor

19%
按下载量换算113

Gemini CLI

9.02%
按下载量换算53

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills