klingai-audit-logging

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

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

80%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is lean and highly actionable, with executable Python throughout. Its main weaknesses are the absence of an explicit sequenced workflow with validation checkpoints and the failure to point to the existing reference bundle files, leaving a duplicate logger implementation inline.

Suggestions

Replace the inline AuditLogger implementation with a concise overview and a clearly signaled link to references/audit-logger-implementation.md so the SKILL.md body acts as an index rather than duplicating the bundle.

Add a numbered integration workflow with an explicit validation checkpoint (e.g. 'log events -> run verify_audit_chain -> only proceed if chain intact') to raise workflow clarity.

Link the remaining bundle files (audit-event-types.md, audit-wrapped-client.md, examples.md, errors.md) from the relevant sections so progressive disclosure is one level deep and navigable.

Dimension	Reasoning	Score
Conciseness	The body is lean: a one-sentence overview followed by functional code with no padding or explanation of concepts Claude already knows, so most tokens earn their place.	3 / 3
Actionability	It provides complete, copy-paste-ready Python (AuditLogger, KlingAuditClient, verify_audit_chain, generate_audit_report) with concrete implementations rather than pseudocode or vague direction.	3 / 3
Workflow Clarity	The sections present a logical component order but there is no explicit sequenced workflow with validation checkpoints; the Compliance Checklist is a flat list rather than a step sequence with feedback loops, so it sits below the level-3 anchor.	2 / 3
Progressive Disclosure	Bundle files exist in references/ (audit-logger-implementation.md, audit-event-types.md, etc.) but the body never signals or links to them, and it inlines a full logger implementation that overlaps with those files — matching the 'references present but not signaled; content that should be separate is inline' anchor.	2 / 3
	Total	10 / 12 Passed

Description

90%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-structured description that clearly states purpose, use-conditions, and distinct trigger phrases. Its only weakness is that it states a single high-level action rather than enumerating several concrete capabilities.

Suggestions

Expand the capability statement from one action to several concrete ones (e.g. 'capture API calls, verify tamper-evident log chains, and generate compliance reports') to lift specificity.

Dimension	Reasoning	Score
Specificity	It names the domain and one core action ('Implement audit logging for Kling AI operations for compliance and security') but does not list multiple distinct concrete actions, matching the 'names domain and some actions, not comprehensive' anchor rather than the multi-action level 3.	2 / 3
Completeness	It explicitly answers both what ('Implement audit logging... for compliance and security') and when ('Use when tracking API usage or preparing for audits') with an explicit 'Use when' trigger clause, matching the level-3 anchor.	3 / 3
Trigger Term Quality	It provides a good spread of natural trigger phrases a user would actually say ('klingai audit', 'kling ai audit log', 'klingai compliance log', 'video generation audit trail'), covering variations of the intent.	3 / 3
Distinctiveness Conflict Risk	The Kling AI-specific scope combined with dedicated audit/compliance trigger phrases carves a clear niche unlikely to conflict with generic logging or other skills.	3 / 3
	Total	11 / 12 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 3022dd3

Reviewed: 1 day ago

Table of Contents

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