Eternal Meeting Extractor

v1.0.0

Extracts summaries, decisions, action items, key points, questions, and attendees from meeting transcripts or notes.

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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
high confidence
Purpose & Capability
Name and description (extract summaries, action items, decisions, attendees) match the included Python script: the script reads a local transcript file and extracts attendees, action items, decisions, questions, and a brief summary. No unrelated credentials, binaries, or external services are required.
Instruction Scope
SKILL.md usage examples claim a '--followup' option to generate a follow-up email and mention Markdown output; the script accepts the --followup flag and a 'markdown' format value but does not implement follow-up generation or a separate Markdown formatter (only JSON and a text layout are actually produced). Aside from this documentation mismatch, the instructions and implementation operate only on the provided transcript file and do not access other files, env vars, or network endpoints.
Install Mechanism
No install spec is present (instruction-only skill). Included code is a single local Python script; there are no downloads, package installations, or archive extraction steps that would add risk.
Credentials
No environment variables, credentials, or config paths are requested. The only I/O is reading the user-supplied transcript file. Note: transcripts may contain sensitive personal or corporate data — the skill will process whatever text you provide locally.
Persistence & Privilege
The skill does not request persistent or elevated privileges and is not marked always:true. It does not modify other skills or system configuration.
Assessment
This skill appears to do what it says: a local Python script parses a transcript file and prints a summary, action items, etc. Before installing or using it, (1) review the script if you can — it is short and readable; (2) be aware that SKILL.md promises a follow-up email generator and Markdown output that the script does not actually implement, so don’t rely on those features; (3) run it on non-sensitive sample transcripts first to validate results; and (4) because it processes whatever text you give it, avoid running it on transcripts containing highly sensitive secrets unless you are comfortable doing local processing (there is no network code in the script).

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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