orchestrator-implementer-judge-loop
orchestrator-implementer-judge-loop is an Agent task delegation & fan-out skill for AI agents, published by danpacho in the tailwindest repository on GitHub. Skillspace rates orchestrator-implementer-judge-loop D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Strict orchestration workflow for engineering tasks that must be solved one numbered problem at a time through an explicit cycle: define the current problem, build a Robust Code strategy, delegate the work to an implementer with the current situation and exact solution method, send the result to a judge with the audit target and audit criteria, repeat implementation and judgment until defects are closed, then issue a final orchestrator verdict before moving to the next problem. Use when Codex must run a deterministic orchestrator-to-implementer-to-judge regression loop with bounded scope, explicit packets, and no ambiguity.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 159
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 100 / 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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