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klingai-storage-integration

Download and store Kling AI generated videos in cloud storage (S3, GCS, Azure). Use when persisting videos or building CDN pipelines. Trigger with phrases like 'klingai storage', 'save klingai video', 'kling ai s3 upload', 'klingai cloud storage'.

63

Quality

76%

Does it follow best practices?

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SecuritybySnyk

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Fix and improve this skill with Tessl

tessl review fix ./plugins/saas-packs/klingai-pack/skills/klingai-storage-integration/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%Weight 40%Scale 1-5

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

The skill delivers concrete, mostly executable code for all three providers with a clear pipeline, but inlines provider-specific implementations that duplicate existing reference files without linking to them and lacks validation checkpoints around the destructive cleanup step.

Suggestions

Add a validation checkpoint before cleanup: verify the upload returned a URL / the object exists before calling os.remove(filepath), so a failed upload does not delete the only local copy.

Replace the inlined per-provider upload sections with brief summaries that link to references/aws-s3-integration.md, references/google-cloud-storage-integration.md, and references/azure-blob-storage-integration.md, keeping only a single quick-start example in SKILL.md.

Resolve undefined references in the pipeline snippet (BASE, get_headers, poll_task) or import them, and add `import time` to download_video so the examples run as written.

DimensionReasoningScore

Conciseness

The body is almost entirely lean code with minimal framing prose and assumes Claude's competence, but the three provider implementations repeat near-identical patterns inline and could be trimmed by delegating to the existing reference files.

4 / 5

Actionability

Most snippets are concrete, copy-paste-ready Python, but a few have undefined references (BASE, get_headers, poll_task in the pipeline; time not imported in download_video) that prevent fully executable guidance.

4 / 5

Workflow Clarity

The end-to-end pipeline lists a clear numbered sequence (generate, poll, download, upload, cleanup) but has no validation checkpoints, and the destructive os.remove cleanup runs without verifying the upload succeeded, capping the score at 3 per the batch/destructive rule.

3 / 5

Progressive Disclosure

The body has clear section structure, but dedicated reference files exist for each provider (aws-s3, azure, gcs) yet are never linked or signaled, while that same per-provider code is fully inlined, matching the anchor where references are present but not signaled and content that should be separate is inline.

3 / 5

Total

14

/

20

Passed

Description

87%Weight 40%Scale 1-5

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 description that explicitly covers what, when, and concrete trigger phrases in third person, with a clear niche. The only weakness is modest action variety and missing synonym/extension variants in the triggers.

DimensionReasoningScore

Specificity

Names the domain and concrete actions ("Download and store Kling AI generated videos") plus three providers (S3, GCS, Azure), but the action set is essentially download+store rather than a broad comprehensive list, leaving minor coverage gaps.

4 / 5

Completeness

Explicitly answers both what ("Download and store Kling AI generated videos in cloud storage") and when ("Use when persisting videos or building CDN pipelines") with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Provides four trigger phrases ("klingai storage", "save klingai video", "kling ai s3 upload", "klingai cloud storage") with good natural coverage, though it lacks file-extension variants and a few obvious synonyms.

4 / 5

Distinctiveness Conflict Risk

The Kling-AI-specific video storage niche with distinctive "klingai" triggers is clearly distinguishable from other skills with minimal conflict risk.

5 / 5

Total

18

/

20

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

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