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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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Use this skill to audit whether learning jobs are producing actionable memory, not filler.
python3 scripts/learning_quality_audit.py --hours 72
agent-system cron runs --job 046bb2db-42ad-4b79-96d4-f9aa1392ede8 --limit 5
agent-system cron runs --job 079a9ab8-d706-465c-801d-741f4a2d55a3 --limit 5
ls -lt ~/.agent-evolution/docs/learnings.md ~/.agent-evolution/memory | head
Detect filler output. Flag summaries containing phrases like "let me check", raw tool logs, or error dumps.
Verify artifact updates.
Learning jobs should update docs/learnings.md and/or relevant memory files when they report success.
Score quality. Use the script score to decide whether prompts/timeouts/rules need adjustment.
Apply remediation. Tighten prompts for concrete outputs, increase timeout where needed, and re-run the same jobs for verification.
scripts/learning_quality_audit.py: Scores recent learning runs and flags regressions.references/quality-criteria.md: Quality gates for learning/memory cron jobs.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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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.
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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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