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Imposter Smasher for Events and Meetings
作者
sourishkrout
· GitHub ↗
· v1.0.0
· MIT-0
141
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install imposter-smasher
功能描述
Prepare a user for an upcoming meeting or event by listing next-day calendar events, prompting for a selection, researching the topic and participants, produ...
使用说明 (SKILL.md)
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:
- A concise executive summary.
- 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 (
ElevenLabsorChatterbox). - Optional persona/tone for briefing voice.
Orchestration Workflow
- Fetch next-day calendar events.
- Present a numbered shortlist with title, start time, organizer, and attendees.
- Ask user to choose one event.
- Extract research targets:
- Meeting topic and company/domain context.
- Participants and their roles.
- Strategic risks, opportunities, and likely questions.
- 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.
- Synthesize an executive summary using
references/executive-summary-template.md. - Build final audio script with
references/audio-brief-template.md. - Generate a produced 3-5 minute audio file and return artifact paths/links.
- 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.
安全使用建议
This skill appears internally consistent, but before installing verify the following: (1) which calendar and research/audio connectors the agent will use and that you trust their handling of meeting content; (2) whether API keys or account access will be provided to Contextual.ai or ElevenLabs/Chatterbox (sensitive meeting details could be sent to those services); (3) storage and retention of generated audio files and any transcripts; and (4) test the skill with a non‑sensitive meeting first. If you need stricter privacy, redact sensitive details before providing events or avoid using external research/audio services.
功能分析
Type: OpenClaw Skill
Name: imposter-smasher
Version: 1.0.0
The 'imposter-smasher' skill is a well-structured orchestration bundle designed to automate meeting preparation through calendar analysis, web research, and audio generation. The provided Python scripts (scripts/build_briefing_packet.py and scripts/estimate_runtime.py) perform safe data formatting and runtime estimation, while the SKILL.md instructions include clear guardrails, such as explicit 'Out Of Scope' definitions and source credibility requirements. No evidence of malicious intent, data exfiltration, or prompt injection was found; the skill's behavior is entirely consistent with its stated purpose.
能力评估
Purpose & Capability
Name/description match the manifest and scripts. The skill is an orchestrator that lists calendar events, collects research, synthesizes an executive summary, and produces an audio briefing; the included helper scripts are narrowly scoped to formatting, runtime estimation, and manifest generation and align with that purpose.
Instruction Scope
SKILL.md confines actions to: fetch next-day calendar events, call Contextual.ai for web research, and call ElevenLabs/Chatterbox for audio. It has clear failure modes (ask user for pasted event details) and guardrails (no outreach, no impersonation). The instructions do not ask the agent to read arbitrary host files, search system paths, or exfiltrate unrelated environment variables.
Install Mechanism
No install spec provided (instruction-first), so nothing is downloaded or executed beyond the included, small helper scripts. The scripts are plain Python/Bash with no remote downloads or obfuscation. This is a low-risk install footprint.
Credentials
SKILL.md depends on external services (calendar, Contextual.ai, ElevenLabs/Chatterbox) but declares no required env vars. This is coherent if the hosting agent/platform supplies those connectors/credentials; however, users should confirm which connector credentials will be used and where they are stored because the skill will route meeting details and research requests to external services.
Persistence & Privilege
No 'always: true' privilege requested and default autonomous invocation is unchanged. The skill writes only its own output artifacts (executive_summary.md, audio_script.txt, audio_manifest.json) to an outdir and does not modify other skills or system-wide configs.
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 imposter-smasher - 安装完成后,直接呼叫该 Skill 的名称或使用
/imposter-smasher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
Big bang
元数据
常见问题
Imposter Smasher for Events and Meetings 是什么?
Prepare a user for an upcoming meeting or event by listing next-day calendar events, prompting for a selection, researching the topic and participants, produ... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 141 次。
如何安装 Imposter Smasher for Events and Meetings?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install imposter-smasher」即可一键安装,无需额外配置。
Imposter Smasher for Events and Meetings 是免费的吗?
是的,Imposter Smasher for Events and Meetings 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Imposter Smasher for Events and Meetings 支持哪些平台?
Imposter Smasher for Events and Meetings 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Imposter Smasher for Events and Meetings?
由 sourishkrout(@sourishkrout)开发并维护,当前版本 v1.0.0。
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