Taste Romanticism

v1.0.0

Aesthetic skill for AI agents — Romanticism's visual and literary language. Style tokens, anti-tokens, and creative direction distilled from 1,491 works span...

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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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high confidence
Purpose & Capability
The name/description promise (Romantic aesthetic tokens and application rules) matches the contents: SKILL.md, README, and skill.json provide style tokens, anti‑tokens, signature works, and UI/application rules. There are no unrelated requirements (no binaries, env vars, or config paths).
Instruction Scope
SKILL.md contains design guidance, usage examples, tokens, and writing/visual rules. It does not instruct the agent to read system files, access environment variables, call arbitrary external endpoints, or exfiltrate data. The guidance is bounded to creative/style operations.
Install Mechanism
No install spec and no code files — instruction‑only. This is the lowest‑risk category: nothing is downloaded or written to disk by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no obvious demands for external secrets or unrelated service credentials that would be disproportionate to an aesthetic/style skill.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and has no install actions that would persist or elevate privileges. Autonomous invocation is allowed by platform default but there are no other elevated privileges requested.
Assessment
This skill is instruction‑only and appears coherent with its stated purpose: it provides style tokens and application rules for a Romantic aesthetic and requires no credentials or installs. Before using: (1) verify the external homepage (inspiredhub.ai) if you care about provenance or paid tiers mentioned in the README, (2) note the skill's claim of sourcing from 1,491 works is not verifiable from the package itself (treat provenance claims accordingly), and (3) if you plan to feed sensitive or proprietary data into models guided by these tokens, review your data‑handling/privacy policies because the skill itself does not add protections or external endpoints.

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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