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klingai-audit-logging

Implement comprehensive audit logging for Kling AI operations. Use when tracking API usage, compliance requirements, or security audits. Trigger with phrases like 'klingai audit', 'kling ai logging', 'klingai compliance log', 'video generation audit trail'.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-audit-logging
What are skills?

63

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

68%

Compliance Audit Infrastructure for a Video AI Platform

Audit event data model and tamper-evident checksums

Criteria
Without context
With context

AuditEvent fields

50%

100%

Checksum algorithm

0%

100%

Checksum truncation

0%

100%

Email PII masking

40%

100%

IP address masking

25%

100%

Metadata sanitization

50%

100%

Text log output

37%

100%

JSON log output

100%

100%

Logger name

0%

100%

Text log format

0%

100%

Integrity verification

0%

100%

PII off by default

83%

100%

Without context: $0.3490 · 1m 41s · 19 turns · 18 in / 6,621 out tokens

With context: $0.5691 · 1m 49s · 28 turns · 528 in / 6,812 out tokens

100%

32%

Video Generation Client with Full Audit Trail

Audited API client with multi-stage event logging

Criteria
Without context
With context

Audited client class

62%

100%

PROMPT_SUBMITTED event

40%

100%

GENERATION_STARTED event

100%

100%

Success event logged

75%

100%

Rate limit outcome

20%

100%

Exception/error event

40%

100%

Correct event type values

37%

100%

Actor identity captured

75%

100%

Multiple events per generation

100%

100%

JSON log written

100%

100%

By-type summary

100%

100%

Without context: $0.3832 · 1m 33s · 23 turns · 23 in / 5,247 out tokens

With context: $0.6349 · 2m 22s · 24 turns · 5,257 in / 9,677 out tokens

100%

28%

Audit Log Analysis and Compliance Reporting Tool

Audit log querying, user activity reporting, and integrity verification

Criteria
Without context
With context

Query by event_type

100%

100%

Query by actor_id

100%

100%

Query by outcome

100%

100%

Query by time range

100%

100%

get_user_activity structure

50%

100%

by_type field

50%

100%

by_outcome field

50%

100%

last_activity field

33%

100%

verify_integrity structure

20%

100%

Checksum recalculation

100%

100%

user_activity.json written

100%

100%

integrity_report.json written

100%

100%

AuditEventType enum values

50%

100%

Without context: $0.4245 · 1m 44s · 22 turns · 64 in / 6,348 out tokens

With context: $0.4187 · 1m 27s · 17 turns · 3,387 in / 6,018 out tokens

Evaluated
Agent
Claude Code

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.