engineering-loop
engineering-loop is a Multi-stage workflow orchestration skill for AI agents, published by neuromechanist in the research-skills repository on GitHub. Skillspace rates engineering-loop C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user asks to "implement this change", "fix this issue", "add this feature", "make this change properly", "ship this", or for any ordinary single-PR development task: one issue, one branch, one pull request. For multi-phase features use epic-dev; for unfamiliar code run codebase-onboarding first; for failing behavior use the debugging skill.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- 98 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- BSD-3-Clause
- 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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