Imposter Smasher for Events and Meetings

v1.0.0

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...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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