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klingai-debug-bundle

Set up logging and debugging for Kling AI API integrations. Use when troubleshooting video generation or building observability. Trigger with phrases like 'klingai debug', 'kling ai logging', 'klingai troubleshoot', 'debug kling video generation'.

64

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The content is highly actionable with complete, executable code, but it underuses its own bundle: six reference files are never referenced from SKILL.md and much of their content is duplicated inline, hurting both conciseness and progressive disclosure. A clearer end-to-end debugging workflow with validation checkpoints would also raise workflow clarity.

Suggestions

Link the existing reference files from the body (e.g., under a '## References' section: 'Logging setup: see logging-setup.md', 'Request tracing: see request-tracing.md', 'Performance metrics: see performance-metrics.md') so the bundle is actually navigable.

Move the full KlingDebugClient class into a reference or script and keep SKILL.md as a concise overview with a minimal usage example, removing the duplication with logging-setup.md / request-tracing.md.

Add an explicit numbered debugging workflow with a validation checkpoint (e.g., 1. configure logging, 2. run the traced call, 3. dump_log, 4. inspect/diagnose with the task inspector; verify credentials with kling-diag.sh first).

DimensionReasoningScore

Conciseness

The body is a long, mostly-efficient inline wall of executable code with no concept over-explanation, but the ~110-line KlingDebugClient class is large and duplicates material present in the reference files (logging-setup, performance-metrics, request-tracing), so it could be tightened or split.

2 / 3

Actionability

Provides fully executable Python (debug client, task inspector) and a runnable bash diagnostic script that are specific and copy-paste ready, matching the top anchor.

3 / 3

Workflow Clarity

A sequence is implied (instantiate client, call, dump log, inspect) but it is never explicitly enumerated, and there are no validation checkpoints or error-recovery feedback loops beyond the inline try/except.

2 / 3

Progressive Disclosure

Six reference files exist in ./references/ but none are linked or signaled in the body, while the large client class that overlaps with those references is kept inline; structure exists via section headers but references are orphaned and content that should be split is not.

2 / 3

Total

9

/

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 well-constructed description with explicit 'Use when' triggers, natural trigger phrases, and a clearly distinct Kling AI niche. Its only weakness is specificity, since it understates the full set of capabilities (tracing, diagnostics, metrics) that the skill body provides.

DimensionReasoningScore

Specificity

Names the domain ('Kling AI API integrations') and two actions ('Set up logging and debugging'), but is not comprehensive — it omits the request tracing, diagnostics, and metrics capabilities the body actually delivers, matching the anchor that names domain and some actions but not all.

2 / 3

Completeness

It clearly answers both what ('Set up logging and debugging for Kling AI API integrations') and when ('Use when troubleshooting video generation or building observability') with explicit triggers, matching the top anchor.

3 / 3

Trigger Term Quality

Explicit natural trigger phrases ('klingai debug', 'kling ai logging', 'klingai troubleshoot', 'debug kling video generation') give good coverage of terms a user would actually say when they need this skill.

3 / 3

Distinctiveness Conflict Risk

The narrow Kling AI niche paired with brand-specific trigger phrases makes it clearly distinguishable and unlikely to fire for the wrong skill.

3 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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
Reviewed

Table of Contents

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