agent-loop
agent-loop is a Multi-stage workflow orchestration skill for AI agents, published by vinnie357 in the claude-skills repository on GitHub. Skillspace rates agent-loop B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Generic epic-to-PR agent workflow (codename Forge) with 4-phase execution, a 6-tier hierarchy, and paired-team fan-out. Use when coordinating any feature delivery, working an issue or epic ("work epic <id>", "work issue <id>", "use Forge on the next bees ready item", "forge <id>"), picking up an epic in a fresh session (decomposing path) or with pre-existing issues (dispatching path), implementing a multi-step task that benefits from plan→test→implement→review phases, asking clarifying questions before decomposing, forming a team and assigning models per tier, or orchestrating multi-agent workflows. Loads on casual feature requests too — not only when the word "epic" appears.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 90 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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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