SKILL

agent-introspection-debugging

用于 AI 代理故障的结构化自调试流程,包含捕获、诊断、受控恢复和内省报告。适用于代理运行失败,需要可复现诊断而不是再次重试的情况。

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Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

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原文涵盖的主题

  • Agent Introspection Debugging
  • When to Activate
  • Scope Boundaries
  • Four-Phase Loop
  • Phase 1: Failure Capture
  • Phase 2: Root-Cause Diagnosis
  • Phase 3: Contained Recovery
  • Phase 4: Introspection Report

Use this skill when an agent run is failing repeatedly, consuming tokens without progress, looping on the same tools, or drifting away from the intended task. This is a workflow skill, not a hidden runtime. It teaches the agent to debug itself systematically before escalating to a human. Maximum tool call / loop-limit failures Repeated retries with no forward progress Context growth or prompt drift that starts degrading output quality File-system or environment state mismatch between expectation and reality Tool failures that are likely recoverable with diagnosis and a smaller corrective action Activate this skill for: capturing failure state before retrying blindly diagnosing common agent-specific failure patterns applying contained recovery actions producing a structured human-readable debug report Do not use this skill as the primary source for: feature verification after code changes; use verification-loop framework-specific debugging when a narrower ECC skill already exists runtime promises the current harness cannot enforce automatically Before trying to recover, record the failure precisely. Capture: error type, message, and stack trace when available last meaningful tool ca

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来源仓库
affaan-m/ECC
源文件
.agents/skills/agent-introspection-debugging/SKILL.md
固定版本
d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
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原作者:affaan-m/ECC · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:48.277Z。

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