rlm-subagent
rlm-subagent is an Agent task delegation & fan-out skill for AI agents, published by doubleuuser in the rlm-workflow repository on GitHub. Skillspace rates rlm-subagent D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Master skill for parallel subagent-driven execution with automatic fallback to single-agent sequential mode. Use when implementing plans with multiple independent sub-phases (SP1, SP2...) to dispatch parallel subagents, or when requiring code review between implementation and testing. Trigger phrases: "parallelize", "dispatch subagent", "split into sub-phases", "code review subagent", "parallel testing".
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 67
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
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 2 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.