parallel-subagents
parallel-subagents is an Agent task delegation & fan-out skill for AI agents, published by Ghqqqq in the codex-overleaf-link repository on GitHub. Skillspace rates parallel-subagents D (59/100) and it passed the safety scan; the rating is based on static analysis only.
When a task decomposes into independent slices — separate files, OR separate sections of ONE file — fan it out: write job files to the subagent queue and the host runs real parallel Codex workers for you. For a single file, extract per-section slice files into the queue's work/ zone, let workers polish them in parallel, then reassemble (scatter-gather). Every job must state an explicit, non-overlapping scope.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- 84 / 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
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