databuddy-internal
databuddy-internal is a Codebase mapping & onboarding skill for AI agents, published by databuddy-analytics in the Databuddy repository on GitHub. Skillspace rates databuddy-internal F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Work inside the Databuddy monorepo for internal implementation, debugging, review, and refactoring. Use only for repository code changes across dashboard, api, basket, links, docs, uptime, SDK, tracker, auth, RPC, database schema, ClickHouse, or shared packages. Do not use for external SDK, API, CDN, feature flag, or LLM observability integration guidance; use databuddy instead.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,109
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.