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Security and compliance review framework for Kling AI integrations.
Passed 20 of 22 test cases with the skill, and 13 of 22 without it.
and 6 more in the full report
7 fixed13 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
In an automated compliance assessment for Kling AI API integrations, what check status should be returned if content_filter_enabled is False compared to when audit_logging is False?
| Checked | Without skill | With skill |
|---|---|---|
| Disabled content filtering evaluates to a WARN status. | Missed | Passed |
| Disabled audit logging evaluates to a FAIL status. | Passed | Passed |
The instructions your model reads when the skill loads.
Security and compliance assessment framework for Kling AI integrations. Covers data handling, credential management, content policy, privacy, and regulatory considerations.
User Prompt → [Your App] → [Kling AI API] → [Kling GPU Cluster]
↓
[Your CDN] ← download ← [Kling CDN (temporary URL)] ← Generated Video
| Data | Location | Retention |
|---|---|---|
| Prompts | Sent to Kling servers (China/global) | Processing only |
| Generated videos | Kling CDN (temporary URLs) | ~24-72 hours |
| API keys | Your infrastructure | You control |
| Audit logs | Your infrastructure | You control |
# Safe logging pattern
def safe_log_key(access_key: str) -> str:
return access_key[:8] + "..." + access_key[-4:]
test cases passed, vs 13 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.