agent-introspection-debugging

by affaan-m/ECC · Agents, MCP & Prompting

Structured self-debugging workflow for AI agents to diagnose and recover from failures with actionable reports.

Lift—not yet benchmarked

Trustsecurity · quality · license · upkeep

Scan Saferisk 0/100

LicenseMITserved via MCP

What it does

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.

#debugging#self-improvement#error-handling#agent-operations#systematic-recovery#introspection

Quality judgment

completeness

9.0/10

clarity

9.0/10

trigger quality

8.0/10

examples

5.0/10

structure

9.5/10

overall

8.0/10

A well-scoped, disciplined workflow skill with clear activation triggers, a useful failure-pattern table, concrete capture/report templates, and honest boundaries against unsupported auto-healing claims. Concrete worked examples are thin (templates and pattern tables substitute for a full end-to-end case), which keeps it just short of excellence.

Files (3)

agents/openai.yaml · 0.3 KBLICENSE · 1.0 KBSKILL.md · 5.5 KB