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imposter-smasher冒充者粉碎机

Agent Skill

imposter-smasher 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

4,293

周安装

172

GitHub Stars

公开资料未说明

下载量

1,390
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:imposter-smasher(冒充者粉碎机)
来源仓库:https://github.com/sourishkrout/imposter-smasher
安装命令:
openclaw skills install imposter-smasher
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 imposter-smasher

简介

imposter-smasher 帮助用户准备会议或活动,列出日程、研究主题与参与者。

  • 适用于 OpenClaw 中日程管理、团队协作与活动策划支持场景。
  • 通过 clawhub 安装并使用 openclaw skills install imposter-smasher 命令启用。
  • 需确保日历数据源准确,避免遗漏关键事件或时间冲突。
  • 建议结合个人日程工具同步以保持信息一致性。

SKILL.md

name
imposter-smasher
description
Prepare a user for an upcoming meeting or event by listing next-day calendar events, prompting for a selection, researching the topic and participants, producing an executive summary, and generating a fully produced 3-5 minute audio briefing. Use when the user asks to prep for meetings, get ready for an event, research attendees before a call, or receive an audio meeting brief.

Imposter Smasher

Purpose

Imposter Smasher is an orchestrator skill for high-stakes meeting prep. It compiles next-day meetings, lets the user pick one, researches the topic and participants with credible sources, then delivers:

  1. A concise executive summary.
  2. A fully produced 3-5 minute audio briefing.

Use This Skill When

  • The user wants prep for a meeting happening tomorrow.
  • The user wants a confidence-boosting brief before a customer, investor, executive, or partner call.
  • The user wants both text and audio output.

Hard Dependencies

  • Calendar access (to list and inspect next-day events).
  • Web research via Contextual.ai.
  • Audio generation via ElevenLabs or Chatterbox.

Out Of Scope

  • Sending emails/messages on behalf of the user.
  • Booking, modifying, or cancelling meetings.
  • Unsupported speculation or rumor-based profiling.
  • Long dossiers beyond prep needs.
  • Live in-meeting copilot behavior.
  • Research that cannot be grounded in credible sources.

Inputs To Collect

  • Timezone (if unclear).
  • Target date (default: next day in user timezone).
  • Preferred audio engine (ElevenLabs or Chatterbox).
  • Optional persona/tone for briefing voice.

Orchestration Workflow

  1. Fetch next-day calendar events.
  2. Present a numbered shortlist with title, start time, organizer, and attendees.
  3. Ask user to choose one event.
  4. Extract research targets:

- Meeting topic and company/domain context. - Participants and their roles. - Strategic risks, opportunities, and likely questions.

  1. Delegate specialized subtasks where possible:

- Calendar retrieval/parsing to calendar-capable tooling. - Web research and source collection to Contextual.ai. - Audio rendering to ElevenLabs/Chatterbox integration.

  1. Synthesize an executive summary using references/executive-summary-template.md.
  2. Build final audio script with references/audio-brief-template.md.
  3. Generate a produced 3-5 minute audio file and return artifact paths/links.
  4. Return concise prep package:

- Executive summary. - Top participant notes. - Risks/questions checklist. - Audio file location and duration.

Quality Bar

  • Cite only credible, attributable sources.
  • Distinguish facts vs inferences.
  • Keep briefing actionable and concise.
  • Target spoken runtime between 180 and 300 seconds.
  • If evidence is weak, explicitly say so and reduce confidence.

Failure Handling

  • If no calendar access: ask for pasted event details and continue.
  • If research fails: provide a minimal brief with explicit gaps and retry options.
  • If audio generation fails: provide final narration script and engine-specific retry command.

Detailed References

  • Workflow rubric: references/workflow-rubric.md
  • Source credibility rules: references/source-credibility-rubric.md
  • Executive summary template: references/executive-summary-template.md
  • Audio script template: references/audio-brief-template.md
  • Concise implementation notes: references/implementation-notes.md

Helper Scripts

  • scripts/build_briefing_packet.py: compile event + research notes into summary and narration draft.
  • scripts/estimate_runtime.py: estimate spoken duration and validate 3-5 minute target.
  • scripts/validate_skill.sh: basic scaffold validation.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.17%
按下载量换算1,170

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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