init

init is a Codebase mapping & onboarding skill for AI agents, published by drafthq in the draft repository on GitHub. Skillspace rates init D (56/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Initialize Draft project context for Context-Driven Development — the single, scope-aware entry point (works at the repo root or inside any sub-module; no separate index command). Builds the root-first code-graph knowledge memory (draft/graph/, with a module→root link) and creates product.md, tech-stack.md, workflow.md, tracks.md, architecture.md (brownfield), .ai-context.md (derived), and .ai-profile.md. Supports --graph-only (graph memory only, no markdown) and --module-only. Use when the user asks to 'init draft', 'set up Draft for this project', 'bootstrap context', 'build the code graph', or says 'start using Draft', 'I want to use Draft here'.

Grade
D
Quality
56 / 100
Safety
Needs review
GitHub stars
39

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, so go by its current files.

Our review

Architecture
66 / 100
Maturity
Structured: ships references or scripts
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • reads environment variables
  • 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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