auto-decision-framework
auto-decision-framework is a Structured reasoning & decision frameworks skill for AI agents, published by majesticlabs-dev in the majestic-marketplace repository on GitHub. Skillspace rates auto-decision-framework D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Framework for automated decision-making during multi-step planning workflows. Classifies planning decisions as Mechanical (auto-decide silently), Taste (auto-decide but surface at gate), or User Challenge (never auto-decide). Reduces question fatigue by batching only decisions that need human judgment. Use when running blueprint, PRD, refactor-plan, or any workflow that asks 5+ intermediate planning questions.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 43
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
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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