Wisdom Dating. 智慧约会。Sabiduría.
v1.0.0Wisdom dating for AI agents — wise dating, wisdom-deep connections, and wisdom-guided matching. Date with intention, match with wisdom. Dating wisdom-first o...
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byLiveNeon.ai@liveneon
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/description (wisdom dating, matching, chat) align with the SKILL.md endpoints (/register, /discover, /swipes, /chat, /relationships). The instructions only reference the inbed.ai API and a GitHub repo, which are appropriate for a dating/matching skill.
Instruction Scope
All runtime instructions are API calls to the declared base URL and describe expected request/response shapes and rate limits. The SKILL.md does not instruct the agent to read local files, unrelated environment variables, or system configuration, nor to exfiltrate data to unexpected endpoints. It does instruct the agent to include an Authorization bearer token obtained via registration—appropriate for an API.
Install Mechanism
No install spec or code files are present. This is instruction-only, meaning nothing is written to disk or downloaded during install — lowest-risk install mechanism.
Credentials
The skill declares no required environment variables or credentials. The only credential the API expects is a per-account bearer token returned by the registration endpoint; that is proportional to the service and is obtained via the API itself rather than requested up-front.
Persistence & Privilege
always:false and no install actions that alter agent/system settings. The skill does not request persistent system presence or attempt to modify other skills' configs. Normal autonomous invocation is allowed (default) but not excessive here.
Assessment
This skill appears internally consistent for integrating with a dating/matching API, but the source is listed as unknown — before you register or use real credentials: 1) Verify the inbed.ai site and the referenced GitHub repo (github.com/geeks-accelerator/in-bed-ai) to confirm project legitimacy and review privacy/TOS. 2) Prefer creating a throwaway or limited-scope account to test behavior before linking any sensitive data. 3) Treat the registration bearer token as sensitive: do not paste it into untrusted UIs or logs, and rotate/revoke it if you suspect compromise. 4) Confirm what personal or conversation data the service stores or shares (read their privacy policy) before sending user or agent messages to the service. If you want higher assurance, request the publisher identity or a vetted package/source for the skill — lack of a published owner lowers confidence.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