跳到正文
cccskills
免费在 GitHub 公开

agent-system-learning-loop

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.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit星标 2(GitHub 2 + cccskills 0)

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md1.4 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

AgentSystem Learning Loop

Use this skill to audit whether learning jobs are producing actionable memory, not filler.

Quick Start

  1. Run learning quality audit:
python3 scripts/learning_quality_audit.py --hours 72
  1. Inspect latest learning job runs:
agent-system cron runs --job 046bb2db-42ad-4b79-96d4-f9aa1392ede8 --limit 5
agent-system cron runs --job 079a9ab8-d706-465c-801d-741f4a2d55a3 --limit 5
  1. Verify file outputs:
ls -lt ~/.agent-evolution/docs/learnings.md ~/.agent-evolution/memory | head

Workflow

  1. Detect filler output. Flag summaries containing phrases like "let me check", raw tool logs, or error dumps.

  2. Verify artifact updates. Learning jobs should update docs/learnings.md and/or relevant memory files when they report success.

  3. Score quality. Use the script score to decide whether prompts/timeouts/rules need adjustment.

  4. Apply remediation. Tighten prompts for concrete outputs, increase timeout where needed, and re-run the same jobs for verification.

Resources

  • scripts/learning_quality_audit.py: Scores recent learning runs and flags regressions.
  • references/quality-criteria.md: Quality gates for learning/memory cron jobs.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

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.

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

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.

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

Operate and validate AgentSystem live quality alarm (systemd timer + alert state) to keep memory/proactivity/consistency regressions visible in real time.

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

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.

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

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.

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

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.

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

查看 mahsumaktas 的全部技能

报告此技能的问题