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langfuse-data-handling

Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM observability. Trigger with phrases like "langfuse data export", "langfuse retention", "langfuse GDPR", "langfuse compliance", "export langfuse traces".

67

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Advisory

Suggest reviewing before use

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.

Actionable and well-sequenced, but overly monolithic: the inline code duplicates an orphaned reference file, and destructive batch operations lack validation checkpoints. Restructuring as overview + signaled reference would lift both conciseness and progressive disclosure.

Suggestions

Slim the body to an overview with condensed snippets and move full implementations into references/implementation.md via clearly signaled links (e.g., 'See [implementation.md](references/implementation.md) for complete code').

Add validation/dry-run checkpoints to the Step 3 retention cleanup and Step 4 GDPR deletion flows — e.g., log a count to confirm before deleting, and verify each deletion succeeded before proceeding.

Remove the duplication between the body and references/implementation.md so the reference genuinely extends rather than repeats the SKILL.md content.

DimensionReasoningScore

Conciseness

The body avoids explaining concepts Claude already knows, but is a ~245-line wall of inline code that duplicates content already present in references/implementation.md, so it could be tightened by offloading detail to the reference.

2 / 3

Actionability

Each step ships complete, executable TypeScript with concrete parameters and usage calls — copy-paste ready rather than pseudocode.

3 / 3

Workflow Clarity

Steps 1–5 are clearly sequenced, but the destructive batch deletions in Steps 3 and 4 have no validation, dry-run, or verify-deletion checkpoints, capping workflow clarity at 2 per the rubric.

2 / 3

Progressive Disclosure

Sections are organized, but all detailed code is inline rather than in the overview-pointing-to-detail pattern, and references/implementation.md exists yet is never linked and duplicates the body — references present but not signaled.

2 / 3

Total

9

/

12

Passed

Description

100%

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, specific description that clearly conveys capabilities, trigger conditions, and a distinct Langfuse-scoped niche. Internal blank-line breaks within the YAML value are a formatting nit, not a content defect.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'data export, retention, and compliance requirements' — matching the anchor for listing several specific concrete actions rather than vague language.

3 / 3

Completeness

Explicitly states what it does ('Manage Langfuse data export, retention, and compliance requirements') and when to use it ('Use when exporting trace data, configuring retention policies, or implementing data compliance'), answering both what and when.

3 / 3

Trigger Term Quality

Provides natural phrases a user would say ('langfuse data export', 'langfuse retention', 'langfuse GDPR', 'langfuse compliance', 'export langfuse traces'), giving good coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

Scoped tightly to Langfuse data handling with Langfuse-prefixed triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

12

/

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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