continuous-agent-loop
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.
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Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
Read the original English text
Topics in the source
- Continuous Agent Loop
- Loop Selection Flow
- Combined Pattern
- Failure Modes
- Recovery
This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release. Recommended production stack: 1. RFC decomposition (ralphinho-rfc-pipeline) 2. quality gates (plankton-code-quality + /quality-gate) 3. eval loop (eval-harness) 4. session persistence (nanoclaw-repl) loop churn without measurable progress repeated retries with same root cause merge queue stalls cost drift from unbounded escalation freeze loop run /harness-audit reduce scope to failing unit replay with explicit acceptance criteria
- Source repository
- affaan-m/ECC
- Source file
- skills/continuous-agent-loop/SKILL.md
- Fixed revision
- d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
先阅读原作者说明，再决定是否在自己的 AI 工具中使用。
Instructions for your AI tool
- Claude Desktop: resource-specific guide not available yet
- Claude Code: resource-specific guide not available yet
- Cursor: resource-specific guide not available yet
- Codex: resource-specific guide not available yet
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Author: affaan-m/ECC · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:43.548Z.
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