klingai-audit-logging
tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-audit-loggingImplement 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'.
Validation
81%| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 13 / 16 Passed | |
Implementation
22%This skill is essentially a placeholder that describes audit logging at a conceptual level without providing any actionable implementation guidance. It lacks executable code, concrete examples, and specific procedures. The content delegates all useful information to external files while the main body offers only abstract bullet points.
Suggestions
Add executable Python code showing how to create an audit logger with actual Kling AI API call interception and logging
Include a concrete example of an audit log entry format with all required fields (timestamp, user, action, checksum, etc.)
Replace abstract steps like 'Create Logger' with specific implementation code or at minimum pseudocode showing the logging infrastructure
Add inline validation examples showing how to verify log integrity and demonstrate the tamper-evident checksum calculation
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is relatively brief but includes some unnecessary framing ('This skill demonstrates...') and the prerequisites section states obvious requirements. Could be tighter while preserving clarity. | 2 / 3 |
Actionability | The instructions are entirely abstract ('Define Events', 'Create Logger') with no concrete code, commands, or executable examples. It describes what to do conceptually but provides zero implementation guidance. | 1 / 3 |
Workflow Clarity | Steps are vague labels without actual procedures. No validation checkpoints, no feedback loops, and no concrete sequence for implementing audit logging. 'Store Securely' and 'Enable Search' are not actionable steps. | 1 / 3 |
Progressive Disclosure | References to external files (errors.md, examples.md) are present and one-level deep, but the main content is so sparse that it over-relies on external files. The skill body itself provides almost no value without those references. | 2 / 3 |
Total | 6 / 12 Passed |
Activation
90%This is a well-structured skill description with strong trigger terms and clear when/what guidance. The main weakness is the lack of specific concrete actions - it describes the general purpose (audit logging) but doesn't enumerate the specific capabilities like what data is logged, what formats are supported, or what reports can be generated.
Suggestions
Add specific concrete actions such as 'log API requests and responses', 'track video generation timestamps', 'generate compliance reports', or 'export audit trails in JSON/CSV format'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Kling AI operations, audit logging) and mentions some actions (tracking API usage, compliance requirements, security audits), but lacks specific concrete actions like 'record timestamps', 'log request/response data', or 'generate compliance reports'. | 2 / 3 |
Completeness | Clearly answers both what (implement comprehensive audit logging for Kling AI operations) and when (tracking API usage, compliance requirements, security audits) with explicit trigger phrases provided. | 3 / 3 |
Trigger Term Quality | Provides good coverage of natural trigger terms users would say: 'klingai audit', 'kling ai logging', 'klingai compliance log', 'video generation audit trail'. Includes variations of the product name and relevant domain terms. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche combining Kling AI with audit logging. The explicit product name 'Kling AI' and specific trigger phrases make it unlikely to conflict with generic logging or other AI service skills. | 3 / 3 |
Total | 11 / 12 Passed |
Reviewed
Table of Contents
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