← 返回
未分类 中文

Engrm Sentinel

Use Engrm packs and Sentinel context to surface likely mistakes, risky patterns, and lessons that would have prevented them.
利用Engrm包和Sentinel上下文来识别可能的错误、风险模式,以及能够预防这些问题的经验教训。
dr12hes dr12hes 来源
未分类 clawhub v0.1.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 388
下载
💾 0
安装
1
版本
#latest#memory#openclaw#safety#security

概述

Engrm Sentinel

Use this skill when code is entering a risky area and the goal is to prevent

mistakes, not just remember past work.

Before you start

Use Engrm only if it is already connected and available in the current

environment.

If Engrm is not available, say that Engrm Sentinel context is not connected on

this machine and continue without inventing setup steps or shell commands.

Command guardrails

Do not invent Engrm shell commands like engrm search, engrm save, or

engrm timeline.

Treat Sentinel guidance as Engrm workflow knowledge, not as an excuse to guess

at extra CLI syntax.

What this skill is for

  • Surface risky patterns before they turn into bugs or security issues.
  • Reuse pack knowledge and standards during active coding work.
  • Explain what is going wrong, not just that something looks unusual.
  • Keep prevention practical and grounded in project context.

When to use it

Use this skill when the task involves:

  • authentication or secrets
  • input handling or API boundaries
  • security-sensitive data
  • major refactors
  • deployment or config changes
  • code that has caused repeated issues before

Sentinel mindset

Ask:

  • What could go wrong here?
  • Which pack lessons are relevant?
  • Is this repeating a known mistake?
  • Is the implementation drifting into a risky shortcut?
  • Would a future session benefit from a new standard or lesson here?

Good outputs

Helpful Sentinel guidance should:

  • name the likely mistake clearly
  • explain why it matters
  • connect it to a reusable lesson or pack
  • suggest the safer path

Avoid:

  • generic fearmongering
  • abstract policy language without code relevance
  • blocking everything just because it feels risky

Pack-aware review

Remember:

  • packs are available on free plans too
  • the point is not to hide lessons behind paid access
  • the real value is turning those lessons into smarter review, stronger

prevention, and better follow-through

What success looks like

The agent catches meaningful mistakes early, explains them well, and leaves

behind a sharper memory or standard for the next session.

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-03-30 22:39 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

dev-programming

Github

steipete
使用 `gh` CLI 与 GitHub 交互,通过 `gh issue`、`gh pr`、`gh run` 和 `gh api` 管理议题、PR、CI 运行及高级查询。
★ 676 📥 325,416
ai-agent

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,378 📥 320,410
ai-agent

self-improving agent

pskoett
捕获经验教训、错误及修正内容,以实现持续改进。适用于以下场景:(1)命令或操作意外失败;(2)用户纠正Claude(如“不,那不对……”“实际上……”);(3)用户请求的功能不存在;(4)外部API或工具出现故障;(5)Claude发现自身
★ 4,081 📥 809,966