langfuse-onboarding
langfuse-onboarding is an Agent, team & workflow authoring skill for AI agents, published by langfuse in the langfuse repository on GitHub. Skillspace rates langfuse-onboarding F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Configure an agent for whoever is using it — outside contributor or Langfuse maintainer, which areas they work on, and whether Linear answers. On Cursor Cloud, identify the run owner (not Cloud gh permissions) and treat missing Linear as a LINEAR_API_KEY secret to set. Use on "onboard me", "I'm new here", "what do I need to set up", "am I set up correctly", "why can't you see my tickets", "what should I do today" when me.md is missing, whenever you need someone's role and no identity file exists yet, and when a workspace-scoped harness (OpenCode) prompts on ~/.config or other user-dir paths.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 34,445
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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