agent-loop
agent-loop is an Execution & autonomous loops skill for AI agents, published by joelhooks in the joelclaw repository on GitHub. Skillspace rates agent-loop D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Start, monitor, and cancel durable multi-agent coding loops via Inngest. Use when the user wants to run autonomous coding workloads, execute a PRD with multiple stories, kick off an AFK coding session, have agents implement features from a plan, or manage running loops. Triggers on "start a coding loop", "run this PRD", "implement these stories", "go AFK and code this", "check loop status", "cancel the loop", "joelclaw loop", or any request for autonomous multi-story code execution.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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