contextual-stewardship
contextual-stewardship is a Decision records & design docs skill for AI agents, published by lindoelio in the spec-driven-steroids repository on GitHub. Skillspace rates contextual-stewardship D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user makes a technical decision, establishes a new pattern, defines business rules, or explicitly asks to remember or save a guideline. Also use this skill when you are about to implement a feature, write code, plan an architecture, or make a technical decision - you MUST retrieve contextual memory first to follow established patterns. Acts as a Staff Engineer to extract, curate, and persist architectural decisions, business rules, and workflows into long-term memory using a JSON graph store.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 54
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
- 98 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.