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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See how to installReview the instructions the agent will receive before you install.
Run fast reliability checks before changing cron/model/memory behavior.
python3 scripts/reliability_audit.py --hours 24
bash ~/.agent-evolution/scripts/agent-system-cron-audit.sh --json
bash ~/scripts/cron-health-monitor.sh
Check scheduler contract first.
If isolated + payload.kind != agentTurn exists, fix or remove those jobs before any other tuning.
Check agent consistency.
If runAgent != job.agentId, treat as high severity and verify session routing + explicit agentId for every enabled job.
Check failure quality. Separate transport/provider failures from logic failures. Timeout-heavy clusters usually require timeout/model/prompt changes, not blind retries.
Enforce output hygiene.
Any summary containing raw tool logs (Exec, stack trace, raw JSON) is a regression.
Re-run audits after changes. Do not declare stable until the last 6-12h window has zero contract violations and zero agent mismatches.
scripts/reliability_audit.py: Computes reliability metrics from jobs.json + run logs.references/runbook.md: Safe remediation order and command cookbook.No reviews yet. Tell others what you thought.
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A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
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Agent islemlerini policy'ye gore denetle. Hassas islem oncesi governance kontrolu calistir. Tetikleyiciler: destructive komut, dosya sistemi erisimi, rate limit, butce kontrolu, trust score yonetimi.
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Evaluate and improve AgentSystem learning quality for memory/self-compound jobs. Use when bots forget, write filler summaries, fail to update learnings, or memory quality regresses over time.
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Operate and validate AgentSystem live quality alarm (systemd timer + alert state) to keep memory/proactivity/consistency regressions visible in real time.
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Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency. Use when bots forget context, skip memory writes, wait for explicit prompts, or repeat the same errors across runs.
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Audit and remediate AgentSystem cron output hygiene by detecting raw tool logs, stack traces, and noisy summaries. Use when jobs leak 403/429/internal details, summaries are not user-safe, or post-change validation is required.
The English summary is being prepared. Showing the original description.