databuddy-mcp
databuddy-mcp is a Product analytics & metrics skill for AI agents, published by databuddy-analytics in the Databuddy repository on GitHub. Skillspace rates databuddy-mcp D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use whenever the Databuddy MCP server is available and the user wants their analytics, errors, vitals, insights, comparisons, anomalies, top movers, flags, links, or annotations queried. Covers get_data, ask, capabilities, summarize_insights, compare_metric, top_movers, detect_anomalies, get_schema, list/save/forget memory, and workspace mutations. Not for SDK integration help (use databuddy) or monorepo implementation (use databuddy-internal).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,109
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Using the Databuddy MCP analytics product
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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