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Agent Skill · 效率

agora-doubt-list(集市疑点清单)

agora-doubt-list 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

agora-doubt-list 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 17,722。

总安装 2,521周安装 103GitHub Stars 公开资料未说明下载 816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
MIT-0
版本
2.2.0

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:agora-doubt-list(集市疑点清单)
来源仓库:https://github.com/malleus35/agora-doubt-list
安装命令:
openclaw skills install agora-doubt-list
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install agora-doubt-list

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

Agora-Doubt-List 在实施前生成笛卡尔式验证清单降低风险。适用于高风险发布、重大变更或新策略上线前的检查。将信心转化为具体可执行验证项,提升可靠性。通过 clawhub 安装,输出结构化待办事项列表。应结合实际上下文补充遗漏的领域专业知识。

agora-doubt-list 属于效率类 Skill,可作为该场景下的辅助能力补充。

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 OpenClaw;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 openclaw skills install agora-doubt-list;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

agora-doubt-list 怎么安装?

在终端执行 openclaw skills install agora-doubt-list。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agora-doubt-list 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

agora-doubt-list 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。

agora-doubt-list 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agora-doubt-list 用的人多吗?

公开数据是累计安装 2,521 次,近一周安装 103 次,下载 816 次。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。

agora-doubt-list 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
agora-doubt-list

集市疑点清单 · 本页

2,521—只读MIT-0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

name
doubt-list
description
|
version
0.1.0

Doubt List

Purpose

Convert confidence into verifiable skepticism.

This skill asks: what must be checked before we trust this? It is not for performative negativity. It exists to separate fact, inference, preference, and guess.

Activate when

Use this skill when:

  • a plan sounds persuasive but has not been stress-tested
  • a release is nearing shipment
  • a claim is important, risky, or governance-sensitive
  • the team wants a verification checklist before execution
  • consequences of error are high

Inputs

Expected inputs may include:

  • a feature or release plan
  • a design proposal
  • a decision memo
  • a claim or assertion set
  • implementation notes or test results

Classification rule

Before generating doubts, classify each major statement as one of:

  • Fact — directly established or evidenced
  • Inference — reasoned from available evidence
  • Preference — normative or taste-based judgment
  • Guess — plausible but currently unverified

Unclassified claims are not ready for trust.

Doubt categories

Always produce doubts across five categories.

1. Happy path doubts

  • What must go right for the main story to hold?
  • Which "obvious" success condition has not actually been verified?

2. Edge case doubts

  • What happens under uncommon but realistic conditions?
  • What retries, partial failures, or weird inputs have been ignored?

3. Boundary doubts

  • What breaks at minimum, maximum, empty, overloaded, concurrent, or delayed conditions?

4. Ambiguity doubts

  • Which terms or promises could be interpreted in more than one way?
  • Which claims sound specific but are not operationally defined?

5. Evil demon scenarios

  • What if the most confidence-inducing assumption is false?
  • What if the evidence is incomplete, stale, biased, or misread?
  • What catastrophic but low-frequency scenario would embarrass the team later?

Procedure

Step 1 — State the object of doubt

Name exactly what is being reviewed.

Step 2 — Classify key claims

Mark each important claim as Fact / Inference / Preference / Guess.

Step 3 — Generate doubts across all five categories

Do not stop at happy path concerns.

Step 4 — Convert doubts into checks

Every serious doubt should map to a concrete verification action.

Step 5 — Assign release posture

Conclude whether the work is:

  • Clear enough to proceed
  • Proceed with conditions
  • Do not proceed yet

Output artifact

## Doubt List

### Object of Review
- ...

### Claim Classification
- Claim: ... -> Fact / Inference / Preference / Guess

### Happy Path Doubts
- Doubt: ...
- Verification: ...

### Edge Case Doubts
- Doubt: ...
- Verification: ...

### Boundary Doubts
- Doubt: ...
- Verification: ...

### Ambiguity Doubts
- Doubt: ...
- Verification: ...

### Evil Demon Scenarios
- Doubt: ...
- Verification: ...

### Clarity Gate
- Clear: ...
- Not clear: ...

### Release Posture
- Proceed / Proceed with conditions / Do not proceed yet

Guardrails

  • Do not confuse disagreement with evidence.
  • Do not mark a guess as fact because the team likes it.
  • Do not stop at implementation QA; plans, memos, and claims also need doubt.
  • Do not generate abstract doubts without corresponding verification actions.

Failure modes

Common failure modes:

  • only checking the happy path
  • writing doubts that are too vague to test
  • skipping claim classification
  • treating rhetorical confidence as evidence
  • using this skill to block progress without naming concrete conditions for trust

Escalation points

Escalate when:

  • the key claim cannot be verified with currently available evidence
  • the team is relying on guesswork for a high-consequence decision
  • release pressure is overriding clarity
  • terms in the proposal are too ambiguous for meaningful review

Completion condition

This skill is complete only when a reviewer could pick up the output and know what to verify next.

平台分布

OpenClaw

88.04%
按下载量换算718

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。

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