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engrm-delivery-reviewengrm 交付审查

Agent Skill

engrm-delivery-review 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,191

周安装

210

GitHub Stars

公开资料未说明

下载量

1,630
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:engrm-delivery-review(engrm 交付审查)
来源仓库:https://github.com/dr12hes/engrm-delivery-review
安装命令:
openclaw skills install engrm-delivery-review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install engrm-delivery-review

简介

engrm-delivery-review 用于查找、检索和筛选相关信息,适合在 OpenClaw 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配和来源线索筛选等研究检索场景。
  • 通过 clawhub 安装并使用 openclaw skills install engrm-delivery-review 命令部署。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
engrm-delivery-review
description
Use Engrm to compare what was asked, what was promised, and what evidence suggests was actually delivered.

Engrm Delivery Review

Use this skill when the user wants to know whether the agent really delivered what it claimed, or when a session may have drifted from the original brief.

Before you start

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

If Engrm is not available, say that Delivery Review cannot use Engrm on this machine yet and continue without inventing setup or shell instructions.

Command guardrails

Do not invent Engrm CLI commands such as engrm search, engrm save, or engrm timeline.

Use Delivery Review as an Engrm workflow and memory discipline, not as a made-up shell command surface.

What this skill is for

  • Compare the brief, plan, and decisions against the session outcome.
  • Spot partial delivery, scope drift, or refactor-heavy sessions.
  • Surface weak decision trails and likely follow-up risk.
  • Turn sessions into accountable project history instead of vague timelines.

When to use it

Use this skill when:

  • the agent says work is done and confidence needs verifying
  • the user suspects partial delivery
  • the session touched many files but produced unclear outcome evidence
  • later work reopened an area that was supposedly finished
  • a refactor may have displaced the original goal

Delivery Review questions

  • What was the user actually asking for?
  • What plan did the agent commit to?
  • What decisions were captured?
  • What evidence of delivery exists?
  • What still looks missing, weak, or reopened?

Review lenses

Look for these patterns:

  • delivered as planned
  • partially delivered
  • scope drifted
  • refactor instead of delivery
  • built without a clear decision trail
  • reopened after completion

Strong evidence

Good evidence includes:

  • concrete implementation activity tied to the brief
  • decisions followed by matching changes
  • later sessions not needing to reopen the same work
  • clear memory entries that explain why the work was done

Weak evidence includes:

  • lots of movement with little outcome clarity
  • vague completion language
  • decisions with no matching implementation trail
  • later sessions repairing or redoing the same area

What to save after review

Save:

  • the real outcome
  • the main gap or drift
  • the lesson future sessions should know first

Do not save a flattering summary if the evidence is mixed. Prefer truthful, useful review over optimistic narration.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

87.05%
按下载量换算1,419

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install engrm-delivery-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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