work-order-loop-parallel
work-order-loop-parallel is an Execution & autonomous loops skill for AI agents, published by camoa in the claude-skills repository on GitHub. Skillspace rates work-order-loop-parallel C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Use when an orchestrator must run a task's work-orders CONCURRENTLY behind the same gate floor as the sequential loop — the DB-free parallel sibling of work-order-loop. Each round it reconciles from disk (L1-light), selects a disjoint-file ready batch (wo-parallel-batch.sh), builds every batched WO at once in its OWN ephemeral git worktree branched off the integration HEAD (N parallel build atoms in ONE message), runs /review --headless + the work-order-critique rung per worktree, derives every verdict from disk, and merges each CLEAN WO back into the integration branch with a LOCAL git merge (wo-merge-back.sh — NOT a PR merge), pruning each ephemeral worktree after its verdict. The per-WO retry cap stays the SOLE responsibility of wo-run-state.sh dispatch; terminal-HALT precedence, disk-is-truth, and no-auto-merge are preserved verbatim. At the end it runs ONE integrated /review on the integration branch and opens ONE PR through wo-pr-open.sh (re-runs the merge gate, NEVER merges).…
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C 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
- 95 / 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
- Category is a classifier prediction; no model has read this skill 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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