klingai-debug-bundle

Execute set up comprehensive logging and debugging for Kling AI. Use when investigating issues or monitoring requests. Trigger with phrases like 'klingai debug', 'kling ai logging', 'trace klingai', 'monitor klingai requests'.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-debug-bundle

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Review — 56%

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Validation — 9 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

90%

37%

Set Up Logging for Kling AI Integration

Structured JSON logging setup

Criteria

Without context

With context

JSONFormatter class

100%

JSON output fields

100%

Exception in JSON

100%

Logger name 'klingai'

50%

100%

StreamHandler to stdout

100%

setup_logging function

100%

Handler uses formatter

100%

Demo runs without error

100%

Extra fields propagated

100%

Module-level logger init

100%

Without context: $0.3757 · 1m 25s · 24 turns · 24 in / 5,022 out tokens

With context: $0.6403 · 2m 12s · 34 turns · 2,629 in / 7,431 out tokens

57%

17%

Add Request Tracing to a Kling AI Client

Request tracing with trace IDs and headers

Criteria

Without context

With context

TracedKlingAIClient class

RequestTrace dataclass

58%

Trace ID format

80%

X-Trace-ID header

70%

100%

Request logged before call

62%

Response logged after call

37%

62%

Errors captured in trace

75%

100%

Logger named klingai.trace

export_traces method

40%

100%

traces.json produced

50%

Bearer auth header

87%

100%

Without context: $0.2480 · 1m 20s · 13 turns · 14 in / 4,804 out tokens

With context: $0.6001 · 2m 6s · 33 turns · 81 in / 7,938 out tokens

100%

87%

Build Performance Monitoring and Diagnostics for Kling AI

Performance metrics and debug diagnostics

Criteria

Without context

With context

PerformanceMetrics dataclass

100%

get_stats p95

100%

get_stats full set

12%

100%

create_debug_report keys

100%

recent_traces limit

100%

configuration sub-keys

100%

diagnose 30s threshold

50%

100%

diagnose status codes

75%

100%

severity classification

100%

debug_report.json produced

20%

100%

timeout detection

100%

Without context: $0.4566 · 2m · 21 turns · 21 in / 8,074 out tokens

With context: $0.6126 · 2m 5s · 31 turns · 107 in / 7,807 out tokens

Evaluated: about 18 hours ago
Agent: Claude Code

Table of Contents

Set Up Logging for Kling AI Integration Add Request Tracing to a Kling AI Client Build Performance Monitoring and Diagnostics for Kling AI

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