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nm-egregore-quality-gatenmegregore 质量门

Agent Skill

nm-egregore-quality-gate 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

1,972

周安装

79

GitHub Stars

公开资料未说明

下载量

638
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:nm-egregore-quality-gate(nmegregore 质量门)
来源仓库:https://github.com/athola/nm-egregore-quality-gate
安装命令:
openclaw skills install nm-egregore-quality-gate
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 nm-egregore-quality-gate

简介

协调 egregore 质量管道阶段,运行约定检查和审核。

  • 适合代码质量控制和 PR 审查流程。
  • 支持自我审查和 PR 后质量验证。
  • 依赖项目约定的质量检查规则。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • nm-egregore-quality-gate 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
quality-gate
description
|
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/egregore", "emoji": "\�\�"}}
source
claude-night-market
source_plugin
egregore
Night Market Skill — ported from claude-night-market/egregore. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Quality Gate

When To Use

  • Running quality checks on egregore work items
  • Self-review before creating a PR
  • Reviewing another agent's PR in PR-review mode

When NOT To Use

  • Manual code reviews outside egregore pipeline
  • One-off lint or format checks (use make lint directly)

Orchestrate the QUALITY stage of egregore's pipeline. Each quality step runs convention checks from the codex and invokes mapped skills.

Routing Table

StepConventionsSkillsModes
code-reviewC1,C2,C3,C4,C5pensive:unified-reviewself, pr
unbloat-conserve:unbloatself
code-refinement-pensive:code-refinementself
update-tests-sanctum:update-testsself
update-docsC5sanctum:update-docs, scribe:slop-detectorself

Inputs

The orchestrator invokes this skill with:

  • step: which quality step to run (e.g. "code-review")
  • mode: "self-review" or "pr-review"
  • work_item_id: the manifest work item ID
  • branch: the git branch with changes
  • pr_number: (PR-review mode only) the PR number

Self-Review Workflow

When mode is "self-review":

  1. Get changed files: git diff --name-only main...HEAD
  2. Load conventions from conventions/codex.yml
  3. Filter conventions to those mapped to the current step
  4. Run convention checks via conventions.py
  5. Invoke mapped skills on the changed files
  6. Collect all findings
  7. Calculate verdict

Auto-Fix Loop

If blocking findings exist:

  1. Attempt to fix each finding (skill-dependent)
  2. Commit fixes to the work item branch
  3. Re-run convention checks
  4. If still blocking after 3 attempts, verdict is

"fix-required"

Verdict Calculation

if no findings:
    verdict = "pass"
elif all findings are severity "warning":
    verdict = "pass-with-warnings"
elif blocking findings remain after auto-fix:
    verdict = "fix-required"

Record verdict in manifest decisions:

{
  "step": "code-review",
  "chose": "pass-with-warnings",
  "why": "2 warnings (C4: noqa in hooks), 0 blocking"
}

PR-Review Workflow

When mode is "pr-review":

  1. Fetch PR diff: gh pr diff <number> --name-only
  2. Load conventions and filter to code-review step
  3. Run convention checks on changed files
  4. Invoke pensive:unified-review on the diff
  5. Collect all findings

Posting Reviews

Map findings to GitHub review:

  • No findings: gh api POST review with

event "APPROVE"

  • Warnings only: POST review with event "COMMENT",

findings as inline comments

  • Blocking findings: POST review with event

"REQUEST_CHANGES", blocking findings as inline comments with "must fix" prefix

Comment format per finding:

[egregore:{convention_id}] {message}

Convention: {convention_name}
Severity: {severity}

Quality Config

Work items may have a quality_config field:

{
  "skip": ["unbloat"],
  "only": ["code-review", "update-docs"]
}
  • skip: list of steps to skip (run all others)
  • only: list of steps to run (skip all others)
  • If both are set, only takes precedence
  • If neither is set, all steps run (default)

Convention Filtering by Step

Not all conventions run on every step. The routing table above defines which conventions apply to which step. The quality gate filters the loaded codex accordingly before running checks.

Exit Criteria

  • All applicable convention checks executed
  • All mapped skills invoked
  • Verdict calculated and recorded in manifest
  • For PR-review: GitHub review posted

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

98.95%
按下载量换算631

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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