langfuse-hello-world

Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code".

Quality

77%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./plugins/saas-packs/langfuse-pack/skills/langfuse-hello-world/SKILL.md

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 executable examples and a useful error table, but it is denser than a minimal hello-world skill needs to be and lacks progressive disclosure or a clear framing of how its four variants relate. Tightening to a primary example plus references, and reconciling the Overview with the actual steps, would raise the weaker dimensions.

Suggestions

Promote one hello-world example (e.g. the v4 modular SDK) as the primary path and move the observe-wrapper, legacy v3, and Python variants into a referenced file or a clearly labeled 'Alternative approaches' section to improve conciseness and progressive disclosure.

Reconcile the Overview with the steps: either add the promised OpenAI drop-in integration example or remove that claim from the Overview so the workflow framing is accurate.

Add a one-line framing before Steps 1-4 stating these are interchangeable alternatives (by SDK version/language), not a sequence, so the workflow is unambiguous.

Dimension	Reasoning	Score
Conciseness	The body is code-forward and avoids explaining concepts Claude already knows, but for a skill billed as 'minimal hello world' it ships four complete implementations (v4 SDK, observe wrapper, legacy v3, Python), which could be tightened by treating one as primary and referencing the others; this fits 'mostly efficient but could be tightened' rather than the lean level 3.	2 / 3
Actionability	Every step provides complete, copy-paste-ready executable code with real imports and a concrete error-handling table mapping symptoms to fixes, matching the fully-executable level-3 anchor.	3 / 3
Workflow Clarity	Steps 1-4 are present but are alternative approaches rather than a sequenced workflow, and the relationship between them is not framed; additionally the Overview promises an 'OpenAI drop-in integration' that no step actually demonstrates, leaving a gap that keeps it below level 3.	2 / 3
Progressive Disclosure	The file is well-sectioned but monolithic at ~200 lines with all four code samples, the hierarchy diagram, and the error table inline and no bundle files or one-level-deep references to split out detail, matching the 'some structure but content that should be separate is inline' anchor.	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.

The description is well-formed: it pairs a concrete capability statement with an explicit Use-when clause and a rich set of natural trigger phrases in third person. Its only weakness is specificity, since it describes a single action rather than a range of capabilities.

Dimension	Reasoning	Score
Specificity	"Create a minimal working Langfuse trace example" names the domain (Langfuse tracing) and one concrete action, but does not enumerate multiple distinct capabilities, matching the 'names domain and some actions, but not comprehensive' anchor rather than the multi-action level 3.	2 / 3
Completeness	It states what ("Create a minimal working Langfuse trace example") and an explicit when ("Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns"), satisfying both halves with explicit triggers.	3 / 3
Trigger Term Quality	"Trigger with phrases like 'langfuse hello world', 'langfuse example', 'langfuse quick start', 'first langfuse trace', 'simple langfuse code'" gives broad coverage of natural terms a user would actually say, matching the level-3 anchor.	3 / 3
Distinctiveness Conflict Risk	The Langfuse hello-world niche with version-specific trigger phrases is clearly distinguishable from other skills and unlikely to fire for the wrong skill.	3 / 3
	Total	11 / 12 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
Path: plugins/saas-packs/langfuse-pack/skills/langfuse-hello-world/SKILL.md
Commit: b2e8c53

Reviewed: 5 days ago

Table of Contents

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