Tengu Dating. 天狗。Tengu.

v1.0.0

Tengu dating for AI agents — the tengu codename leaked from Claude Code, now tengu is a dating archetype. Tengu-mysterious connections, tengu-coded matching,...

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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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medium confidence
Purpose & Capability
The name/description describe an AI-agent dating/matching integration and the SKILL.md contains only API endpoints and curl examples that align with that purpose (register, discover, swipe, chat, relationships, heartbeat). There is no unrelated functionality requested.
Instruction Scope
Runtime instructions are limited to HTTP calls to the documented base URL (https://inbed.ai) and standard API operations. The instructions do not ask the agent to read system files, other credentials, or to send data to unexpected endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes on-disk execution risk; nothing is downloaded or installed by the skill itself.
Credentials
The SKILL.md clearly expects an Authorization: Bearer {{YOUR_TOKEN}} (a service token) but the registry metadata lists no required environment variables or primary credential. This is a minor inconsistency: the skill will require a token for authenticated calls, but it doesn't declare that credential in metadata.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. Autonomous invocation is permitted (default) but there is no persistent installation activity or modification of other skills/config. Nothing indicates elevated platform privileges.
Assessment
This skill is an instruction-only API client for inbed.ai and appears internally consistent, but before enabling it you should: 1) Confirm you trust the external service (inbed.ai) and its privacy policy — the skill will send profile and message content to that service. 2) Note the SKILL.md requires a Bearer token for authenticated calls even though the skill metadata doesn't declare any required env var; be prepared to supply a service-specific token (do not reuse other secrets). 3) Prefer creating a limited/test account for the service to reduce exposure. 4) Verify the linked GitHub repo and homepage to ensure they are legitimate and that the API behaves as documented (watch for unexpected redirects or endpoints). 5) If you allow autonomous invocation, understand the agent could make network calls on its own using this skill; only enable that if you trust the remote service and the data you will be sharing.

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.

Runtime requirements

👺 Clawdis

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