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csp-agent-introspection-debugginglisted

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
maythyai/code-skills-package · ★ 1 · AI & Automation · score 70
Install: claude install-skill maythyai/code-skills-package
| Symptom | Likely Cause | First Step | |---------|--------------|------------| | Maximum tool calls / repeated same command | loop or no-exit observer path | inspect the last N tool calls for repetition | | Context overflow / degraded reasoning | unbounded notes, repeated plans, oversized logs | inspect recent context for duplication and low-signal bulk | | `ECONNREFUSED` / timeout | service unavailable or wrong port | verify service health, URL, and port assumptions | | `429` / quota exhaustion | retry storm or missing backoff | count repeated calls and inspect retry spacing | | file missing after write / stale diff | race, wrong cwd, or branch drift | re-check path, cwd, git status, and actual file existence | | tests still failing after “fix” | wrong hypothesis | isolate the exact failing test and re-derive the bug | Diagnosis questions: - is this a logic failure, state failure, environment failure, or policy failure? - did the agent lose the real objective and start optimizing the wrong subtask? - is the failure deterministic or transient? - what is the smallest reversible action that would validate the diagnosis? ### Phase 3: Contained Recovery Recover with the smallest action that changes the diagnosis surface. Safe recovery actions: - stop repeated retries and restate the hypothesis - trim low-signal context and keep only the active goal, blockers, and evidence - re-check the actual filesystem / branch / process state - narrow the task to one failing command, one