Transcript to Content
v1.0.0This skill transforms training and onboarding meeting transcripts into structured learning materials, documentation, and actionable review content. Use this skill when processing meeting transcripts from onboarding sessions, training meetings, or knowledge transfer conversations to extract key information and generate study guides, quick reference sheets, checklists, FAQ documents, action item lists, and training effectiveness assessments.
⭐ 1· 2k·4 current·4 all-time
byTomsTools@tomstools11
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
The name and description (transform transcripts into structured learning materials) match the SKILL.md: it describes parsing transcripts, extracting SOPs, checklists, FAQs, slide decks, and master knowledge sources. All required actions (reading transcripts, extracting terms/steps, producing documents/presentations) align with the stated purpose.
Instruction Scope
The runtime instructions explicitly tell the agent to run shell commands (ls, grep, cp) against absolute paths under /home/ubuntu and to read referenced schema/guideline files included with the skill. Reading local transcript files and writing assets to a working directory is expected for this skill, but the use of absolute filesystem paths and generic commands means an agent could access other files in those directories if misapplied. The SKILL.md also tells the agent to apply 'Chain of Thought processing' (internal reasoning) — this is a modeling instruction (not a filesystem action) that may cause the model to reveal intermediate reasoning or be more likely to hallucinate; it's not inherently inconsistent but is noteworthy.
Install Mechanism
Instruction-only skill with no install spec, no downloads, and no declared external package installs. This is the lowest-risk install profile: nothing is written to disk by an installer as part of skill setup. The skill does reference external/unknown tools (slide_initialize, slide_edit, slide_present, manus-export-slides) but does not attempt to install them.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. That is proportionate to its stated purpose. (Note: the instructions do access local filesystem paths — not environment secrets — which is consistent with processing local transcripts.)
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system-wide configurations, and does not request elevated or persistent privileges. It does instruct copying assets into a project directory (e.g., logo) which is normal for content generation.
Assessment
This skill appears to do what it says, but take these precautions before installing or invoking it: 1) Prefer uploading transcripts as the direct input rather than granting the agent blanket filesystem search rights; if the skill must access disk, restrict which directory it can read (avoid letting it scan broad project folders that may contain sensitive data). 2) Confirm the availability and trustworthiness of any external tools it references (slide_initialize, slide_edit, manus-export-slides); the skill assumes these exist but provides no install. 3) Be aware the SKILL.md asks the model to use 'Chain of Thought' — that can surface internal reasoning or extra detail; if you care about limiting model introspection or verbosity, remove or override that instruction. 4) Review generated materials for accidental inclusion of sensitive info and for hallucinations (the skill instructs the model to avoid fabricating, but final review is still necessary). 5) If transcripts contain confidential data, redact sensitive details prior to processing. If you want a lower-risk setup, run the skill in a sandboxed environment or supply only the specific transcript files rather than letting it search system directories.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.