Mindstudio Generate Text Block Prompting Skill

v1.0.0

Write, review, or improve prompts for MindStudio Generate Text blocks — whether the output is plain text or structured JSON. Use this skill whenever someone...

0· 34·0 current·0 all-time
bySol Farahmand@sol1986
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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high confidence
Purpose & Capability
The skill's name and description (MindStudio prompt authoring) match the instructions and examples. It requests no binaries, env vars, or installs — appropriate for an instruction-only prompt-engineering helper.
Instruction Scope
SKILL.md stays within the stated purpose: it guides the agent to interview users, use exact variable names, construct text/JSON prompts, and produce sample outputs. One important operational note: several examples involve processing scraped HTML or personal data (lead extraction). That is consistent with the skill's purpose but introduces privacy considerations — the skill's instructions do not instruct the agent to access any system files or credentials, but they do rely on whatever data the user provides (which could be sensitive).
Install Mechanism
No install spec and no code files — lowest-risk model. Nothing is written to disk or downloaded.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. Requested scope is proportionate to a prompt-writing helper.
Persistence & Privilege
always is false and the skill does not request elevated persistence or modify other skills' configs. Autonomous invocation is allowed (platform default) but is not combined with other red flags here.
Assessment
This skill appears to do what it says: produce MindStudio-ready prompts and JSON sample outputs and it requires no credentials or installs. Before using it, be mindful of what data you paste into prompts — examples include scraped HTML and lead extraction which can contain personal or sensitive information. If you plan to generate prompts that include sensitive variables (PII, proprietary text, credentials), avoid pasting raw secrets into the interview and instead describe the variable schema or use redacted/example values. Also review any generated 'Respond only with valid JSON' outputs before pasting them into live workflows to ensure correctness and that no unintended data is being exposed.

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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