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agent-system-stability-ops

Audit and harden AgentSystem scheduler reliability, cron contract compliance, and agent consistency. Use when bots skip jobs, show timeout spikes, leak raw logs, or run with wrong agent identity/session.

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包含的文件(1)

  • SKILL.md1.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

AgentSystem Stability Ops

Run fast reliability checks before changing cron/model/memory behavior.

Quick Start

  1. Run reliability audit:
python3 scripts/reliability_audit.py --hours 24
  1. Run scheduler contract audit:
bash ~/.agent-evolution/scripts/agent-system-cron-audit.sh --json
  1. Regenerate health report:
bash ~/scripts/cron-health-monitor.sh

Workflow

  1. Check scheduler contract first. If isolated + payload.kind != agentTurn exists, fix or remove those jobs before any other tuning.

  2. Check agent consistency. If runAgent != job.agentId, treat as high severity and verify session routing + explicit agentId for every enabled job.

  3. Check failure quality. Separate transport/provider failures from logic failures. Timeout-heavy clusters usually require timeout/model/prompt changes, not blind retries.

  4. Enforce output hygiene. Any summary containing raw tool logs (Exec, stack trace, raw JSON) is a regression.

  5. Re-run audits after changes. Do not declare stable until the last 6-12h window has zero contract violations and zero agent mismatches.

Resources

  • scripts/reliability_audit.py: Computes reliability metrics from jobs.json + run logs.
  • references/runbook.md: Safe remediation order and command cookbook.

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