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Agent Stability Ops

ASecurity

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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  • Added November 7, 2026
ai-agentspythonbash

Security analysis

A100/100

Scanned November 7, 2026

npx -y skills add mahsumaktas/agent-evolution-kit --skill agent-stability-ops --agent claude-code

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SKILL.md
---
name: agent-system-stability-ops
description: 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.
---

# AgentSystem Stability Ops

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

## Quick Start

1. Run reliability audit:
```bash
python3 scripts/reliability_audit.py --hours 24
```

2. Run scheduler contract audit:
```bash
bash ~/.agent-evolution/scripts/agent-system-cron-audit.sh --json
```

3. Regenerate health report:
```bash
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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