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langfuse-install-auth

Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger with phrases like "install langfuse", "setup langfuse", "langfuse auth", "configure langfuse API key", "langfuse tracing setup".

64

Quality

77%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/saas-packs/langfuse-pack/skills/langfuse-install-auth/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%

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

This is a solid, actionable skill with executable code examples across multiple languages and SDK versions. Its main weaknesses are moderate verbosity (covering both v3 and v4+ inline creates bulk) and lack of explicit validation checkpoints integrated into the workflow steps. The error handling table is a nice touch but would be more effective if tied into the workflow as feedback loops.

Suggestions

Integrate error handling into the verification steps as a feedback loop (e.g., 'If you see 401, re-check keys; if ECONNREFUSED, verify base URL; then re-run verification')

Trim Step 2 (Get API Keys) to just the key format patterns and a link to the dashboard — Claude doesn't need UI navigation instructions

Consider splitting v3 legacy content into a separate referenced file to reduce the main skill's length and improve progressive disclosure

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some unnecessary content. Step 2 (Get API Keys) explains basic UI navigation that Claude doesn't need, and the descriptions of what public/secret keys do are redundant. The SDK version comparison table, while useful, adds bulk. The dual coverage of v3 and v4+ across multiple steps creates repetition.

2 / 3

Actionability

Provides fully executable, copy-paste ready code for all three languages/SDK versions. Install commands, environment variable setup, initialization code, and verification scripts are all concrete and complete. The error handling table maps specific errors to specific solutions.

3 / 3

Workflow Clarity

Steps are clearly sequenced (install → get keys → configure env → initialize → verify), but there are no explicit validation checkpoints between steps. The verification step exists but there's no feedback loop for what to do if verification fails beyond the error table at the end. The error handling table partially compensates but isn't integrated into the workflow.

2 / 3

Progressive Disclosure

The content is well-structured with clear sections and headers, and links to external resources are provided. However, with no bundle files, all content is inline in a single file that's quite long. The v3 vs v4+ content could be split into separate files, and the error handling and SDK comparison tables could be referenced rather than inline.

2 / 3

Total

9

/

12

Passed

Description

89%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a well-crafted skill description that clearly identifies its niche (Langfuse SDK setup and authentication), provides explicit 'Use when' guidance, and includes realistic trigger phrases. The main weakness is that the specific capabilities could be slightly more detailed — listing concrete actions like 'install pip package, set environment variables, verify connection' would strengthen specificity.

Suggestions

Add more concrete actions to improve specificity, e.g., 'install pip/npm package, set LANGFUSE_PUBLIC_KEY and LANGFUSE_SECRET_KEY environment variables, verify SDK connection'.

DimensionReasoningScore

Specificity

Names the domain (Langfuse SDK) and some actions (install, configure, authentication), but doesn't list multiple concrete actions comprehensively — e.g., it doesn't specify what configuration steps are involved beyond 'API keys' and 'initializing tracing'.

2 / 3

Completeness

Clearly answers both 'what' (install and configure Langfuse SDK authentication for LLM observability) and 'when' (setting up a new Langfuse integration, configuring API keys, initializing tracing) with explicit trigger phrases.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'install langfuse', 'setup langfuse', 'langfuse auth', 'configure langfuse API key', 'langfuse tracing setup'. These are realistic phrases a user would type.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive — Langfuse is a specific product, and the description narrows scope to SDK authentication and initial setup/configuration, making it very unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Validation

81%

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

Validation9 / 11 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

9

/

11

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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