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langfuse-core-workflow-a

Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM applications. Trigger with phrases like "langfuse tracing", "trace LLM calls", "add langfuse to openai", "langfuse spans", "track llm requests".

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/saas-packs/langfuse-pack/skills/langfuse-core-workflow-a/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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.

A code-forward, actionable tracing guide with well-organized sections and executable examples across six integration patterns. It lacks explicit validation/verification checkpoints, and much of the content is inlined rather than split into reference files.

Suggestions

Add a verification checkpoint after tracing setup (e.g. 'Check the Langfuse dashboard to confirm traces and spans appear') to close the validation gap in workflow_clarity.

Split the v3 legacy RAG example and per-provider integration details into reference files, keeping SKILL.md a concise overview with one-level-deep links.

Define or stub the helper functions (embedText, searchVectorDB, generateAnswer) so the RAG examples are fully copy-paste runnable.

DimensionReasoningScore

Conciseness

Code-forward content with brief, useful comments and no condescending concept explanations; minor redundancy from carrying both v3 and v4+ RAG pipeline examples.

4 / 5

Actionability

Mostly executable tracing code with real imports and method calls across six integrations; minor gaps where helper functions (embedText, searchVectorDB, generateAnswer) are undefined placeholders.

4 / 5

Workflow Clarity

Numbered steps sequence the integration patterns and an error-handling table is provided, but there are no validation checkpoints (e.g. verifying traces appear in Langfuse) or feedback loops.

3 / 5

Progressive Disclosure

Well-organized into clear sections with external resource links and a Next Steps pointer to the sibling skill; bulk inline per-provider code could be split into one-level-deep reference files.

4 / 5

Total

15

/

20

Passed

Description

78%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 specific, well-triggered description that clearly answers both what and when with concrete natural-language triggers. The second-person 'Use when' phrasing costs a specificity point under the voice rule.

DimensionReasoningScore

Specificity

Names several concrete actions ('Tracing LLM calls and spans', 'building traced AI features', 'adding observability'), but reduced by one for second-person voice ('Use when...') per the rubric's voice rule.

3 / 5

Completeness

Explicitly answers both what ('Tracing LLM calls and spans') and when ('Use when implementing LLM tracing...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good coverage of natural trigger phrases a user would say ('langfuse tracing', 'trace LLM calls', 'langfuse spans', 'track llm requests'); a few synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Langfuse-specific triggers carve a clear niche with minimal conflict risk; minor overlap risk against sibling langfuse workflows (e.g. workflow-b).

4 / 5

Total

16

/

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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