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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mahsumaktas/agent-evolution-kit22026年3月4日 更新
免费在 GitHub 公开
agent-system-memory-proactivity-ops
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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- SKILL.md1.3 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
AgentSystem Memory Proactivity Ops
Use this skill to keep memory and proactivity loops healthy after config, prompt, or plugin changes.
Quick Start
- Run baseline checks:
bash scripts/proactivity_check.sh --hours 24
- Apply known remediation pack:
bash /Users/user/clawd/scripts/agent-system-plan2-remediate.sh
- Re-check and smoke-test memory jobs:
bash scripts/proactivity_check.sh --hours 6 --smoke
Workflow
- Verify scheduler contract and agent consistency metrics.
- Verify learning score, filler count, and output quality in recent memory jobs.
- Check latest runs of:
hachi-self-compound(046bb2db-42ad-4b79-96d4-f9aa1392ede8)memory-fact-extraction(079a9ab8-d706-465c-801d-741f4a2d55a3)
- Validate learning artifacts were updated recently.
- If quality is below target, tighten prompt constraints and re-run smoke checks.
Resources
scripts/proactivity_check.sh: one-command audit + optional memory smoke tests.references/quality-gates.md: acceptance thresholds and remediation sequence.
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中文简介正在准备中。当前显示原文说明。
mahsumaktas/agent-evolution-kit22026年3月4日 更新
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中文简介正在准备中。当前显示原文说明。
mahsumaktas/agent-evolution-kit22026年3月4日 更新