deep-loop-runtime
deep-loop-runtime is an Agent runtime & coordination infrastructure skill for AI agents, published by MichelKerkmeester in the opencode--skilled-agent-loops-with-spec-kit-memory repository on GitHub. Skillspace rates deep-loop-runtime B (84/100) and it passed the safety scan; the rating is based on static analysis only.
Shared deep-loop runtime: executor + prompt-pack + validation + atomic state + coverage-graph + Bayesian scoring + fallback routing.
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 28
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- 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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