continuous-agent-loop
Official具有质量门、评估和恢复控制的连续自主代理循环模式。
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- name: continuous-agent-loop description: 具有质量门、评估和恢复控制的连续自主代理循环模式。 origin: ECC --- # 持续代理循环 这是 v1.8+ 的规范循环技能名称。它在保持一个发布版本的兼容性的同时,取代了 `autonomous-loops`。 ## 循环选择流程 ```text Start | +-- 需要严格的 CI/PR 控制? -- yes --> continuous-pr | +-- 需要 RFC 分解? -- yes --> rfc-dag | +-- 需要探索性并行生成? -- yes --> infinite | +-- default --> sequential ``` ## 组合模式 推荐的生产栈: 1. RFC 分解 (`ralphinho-rfc-pipeline`) 2. 质量门 (`plankton-code-quality` + `/quality-gate`) 3. 评估循环 (`eval-harness`) 4. 会话持久化 (`nanoclaw-repl`) ## 故障模式 * 循环空转,没有可衡量的进展 * 因相同根本原因而重复重试 * 合并队列停滞 * 无限制升级导致的成本漂移 ## 恢复 * 冻结循环 * 运行 `/harness-audit` * 将范围缩小到失败单元 * 使用明确的验收标准重放
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-8486c6f6-bacf-4b55-9462-d5e0c1525565",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
Set it up in your dashboardMore skills
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