interview-dev-loop
interview-dev-loop is a Multi-stage workflow orchestration skill for AI agents, published by unsu0707 in the interview-dev-loop repository on GitHub. Skillspace rates interview-dev-loop C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Investigate current project context before building a feature, ask one multiple-choice clarification question at a time when ambiguity remains, write a plan only after material ambiguities are resolved, wait for user approval, then implement with a development agent and re-review until no P0/P1/P2 findings remain. Use when the user wants approval-gated planning and a do-not-stop implementation/review loop.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 38
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
- 81 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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
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