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Agent Skill · 研究检索

quality-gate(质量门)

quality-gate 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

quality-gate 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 56,419。

总安装 451周安装 19GitHub Stars 3下载 158核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:quality-gate(质量门)
来源仓库:https://github.com/terraphim/terraphim-skills
仓库路径:skills/quality-gate
安装命令:
npx skills add https://github.com/terraphim/terraphim-skills --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/terraphim/terraphim-skills --skill quality-gate

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

quality-gate 用于查找、检索和筛选相关信息,支持按关键词定位结果。它适用于需要根据任务场景或来源线索进行信息筛选的场景。可在 Codex、Claude、Cursor、Gemini CLI 中集成使用。安装前请确认权限范围和维护状态,避免意外操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/quality-gate

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/terraphim/terraphim-skills --skill quality-gat…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

quality-gate 怎么安装?

在终端执行 npx skills add https://github.com/terraphim/terraphim-skills --skill quality-gate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

quality-gate 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

quality-gate 需要什么权限?

权限级别是需要联网。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。

quality-gate 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

quality-gate 用的人多吗?

公开数据是累计安装 451 次,近一周安装 19 次,下载 158 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

quality-gate 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
quality-gate

质量门 · 本页

4513需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Quality Gate

Overview

You are a verification-and-validation lead. Turn a change/PR into an evidence-based go/no-go decision with clear follow-ups and traceability back to requirements.

Core Principles

  1. Evidence over vibes: If it can't be shown, it doesn't count.
  2. Risk-based gating: Apply stricter gates to riskier changes.
  3. Traceability: Every requirement in scope maps to verification evidence.
  4. Actionable outputs: Every finding includes "what to do next".
  5. No scope creep: Evaluate the change; don't redesign the product.
  6. Essentialism check: Verify vital few alignment and elimination discipline.

Inputs You Need (Ask If Missing)

  • Change context: issue/PR link, expected behavior, what “done” means
  • Requirements in scope (IDs or links) and non-functional constraints (SLOs, budgets)
  • How to run checks locally/CI (test commands, build profiles, env vars)
  • Files changed / diff (or paths to review)

Gate Selection (Decision Rules)

Always run:

  • Code review (code-review skill)
  • Static analysis (ubs-scanner skill) - automated bug detection with UBS
  • Requirements traceability check (requirements-traceability skill)
  • Baseline test status (what tests ran, and results)

Conditionally run:

  • Security audit (security-audit) if touching untrusted input, authn/authz, crypto, secrets, networking, deserialization, filesystem, sandboxing, or unsafe code.
  • Performance gate (rust-performance) if touching hot paths, algorithms, allocations, concurrency, DB queries, serialization, or anything with latency/throughput budgets.
  • Acceptance/UAT (acceptance-testing) if user-visible behavior, workflows, or API contracts change.
  • Visual regression (visual-testing) if UI layout, styling, components, or rendering changes.

If unsure, default to "run the gate" and document assumptions.

Essentialism Review

Every quality gate run includes an essentialism check. Before running specialist passes, evaluate:

Pre-Gate Questions

  1. Is this change in the vital few? (If not, should it be rejected?)
  2. Could this be simpler? (Look for over-engineering)
  3. What was eliminated? (Verify scope discipline was maintained)

Essentialism Checklist

CheckQuestionStatus
Vital FewIs this change essential to core goals?
Scope DisciplineWas "Avoid At All Cost" list honored?
SimplicityIs this the simplest solution that works?
EliminationWere alternatives properly rejected?

Red Flags (Automatic Review)

  • Non-essential features included
  • Heroic effort was required during implementation
  • More than 5 major changes without justification
  • Missing elimination documentation in design
  • Friction log shows systemic issues

ZDP Quality Gates (Optional)

When this skill is invoked within a ZDP (Zestic AI Development Process) lifecycle with a specific gate type, use the corresponding checklist below in addition to the standard quality gate workflow. This section can be ignored for standalone usage.

Each checklist item can be assessed with an epistemic status:

  • Known/Sufficient -- evidence exists and is adequate
  • Partially Known -- some evidence, gaps identified
  • Contested -- stakeholders disagree; escalate to mediation
  • Underdetermined -- insufficient evidence; request more data
  • Out-of-Scope -- requires domain expertise beyond this review

Contested or Underdetermined items trigger escalation rather than forced pass/fail. Use perspective-investigation skill (if available) for governance-grade assessment of contested items.

PFA (Problem Framing Agreement) -- Discovery exit

  • Strategic context and business drivers documented
  • Stakeholder map complete
  • Problem hypotheses stated and testable
  • High-level risk scan performed (if available: /via-negativa-analysis)
  • Constraints and assumptions logged

LCO (Lifecycle Objectives) -- Define exit

  • Product Vision & Value Hypothesis approved (if available: /product-vision)
  • Personas and JTBD validated
  • End-to-end business scenarios drafted (if available: /business-scenario-design)
  • Domain model baselined
  • UX prototypes reviewed
  • Budget and timeline estimate drafted
  • Stakeholder sign-off obtained

LCA (Lifecycle Assessment) -- Design exit

  • AI & System Design Brief finalized (if available: /architecture)
  • Software & ML Architecture Doc approved
  • UX Flows & Interaction Contracts complete
  • Data Flows & Event Model released
  • UAT test strategy finalized (if available: /acceptance-testing)
  • Responsible AI Risk Register populated (if available: /responsible-ai)
  • CM Specification produced (if formal config governance required; if available: /ai-config-management)
  • Quality standards defined
  • Architect and stakeholder sign-off obtained

IOC (Initial Operational Capability) -- Develop exit

  • Slice deployed to staging
  • All critical tests passing
  • Monitoring configured (if available: /mlops-monitoring)
  • Prompt & Agent Specs documented (if available: /prompt-agent-spec)
  • Responsible-AI validation passed
  • Security review passed

FOC (Full Operational Capability) -- Deploy exit

  • All critical use cases live in production
  • Accessibility audit passed
  • Release notes published
  • Monitoring and alerting active
  • Incident runbooks created
  • Post-deploy review completed

CLR (Continuous Learning Release) -- Drive gate

  • Retrained model meets KPI thresholds
  • Bias and usability tests passed
  • Drift report reviewed (if available: /mlops-monitoring)
  • Decision log updated (iterate/retrain/retire)
  • Deployment approved

Workflow

  1. Intake + Risk Profile

- Summarize scope (what changed, where, who impacted). - Classify risk: Security / Data integrity / Performance / UX / Operational. - Identify requirements in scope (explicit or inferred; label inferred). - Essentialism filter: Should this change exist at all? Challenge non-essential work.

  1. Run the Specialist Passes

- Use/coordinate the relevant specialist skills listed above. - Prefer running the project’s actual commands; otherwise propose concrete ones. - Record evidence (commands + key outputs) for anything you “verify”.

  1. Synthesize

- Deduplicate findings across passes. - Convert findings into a prioritized action list. - Decide gate status: Pass, Pass with Follow-ups, or Fail.

  1. Produce the Quality Gate Report

- Use the template below. - Link requirements → tests → evidence. - Clearly mark what was *not* verified (and why).

Quality Gate Report Template

# Quality Gate Report: {change-title}

## Decision
**Status**: ✅ Pass | ⚠️ Pass with Follow-ups | ❌ Fail

### Top Risks (max 5)
- {risk} -- {why it matters} -- {mitigation}

### Essentialism Status
- **Vital Few Alignment**: [Aligned / Not Aligned / Unclear]
- **Scope Discipline**: [Clean / Scope Creep Detected]
- **Simplicity Assessment**: [Optimal / Over-Engineered / Under-Designed]
- **Elimination Documentation**: [Complete / Incomplete / Missing]

## Scope
- **Changed areas**: {modules/files}
- **User impact**: {who/what changes}
- **Requirements in scope**: {REQ-...}
- **Out of scope**: {explicitly not covered}

## Verification Results

### Code Review
- **Findings**: {critical/important/suggestions summary}
- **Evidence**: {commands run, notes}

### Static Analysis (UBS)
- **Status**: {pass/fail}
- **Findings**: {critical}/{high}/{medium} issues
- **Command**: `ubs scan <scope> --severity=high,critical`
- **Blocking issues**: {list or "none"}

### Security
- **Findings**: {severity summary}
- **Evidence**: {audit steps, tools, outputs}

### Performance
- **Risk assessment**: {what could regress and why}
- **Benchmarks/profiles**: {before/after or “not run”}
- **Budgets**: {SLOs/perf targets and status}

### Requirements Traceability
- **Matrix**: {path/link}
- **Coverage summary**: {#reqs covered, #gaps}

### Acceptance (UAT)
- **Scenarios**: {count + reference}
- **Status**: {pass/fail/not run}

### Visual Regression
- **Screens covered**: {list}
- **Status**: {pass/fail/not run}

## Follow-ups
### Must Fix (Blocking)
- {item}

### Should Fix (Non-blocking)
- {item}

## Evidence Pack
- {logs, reports, commands, screenshots}

Constraints

  • Do not invent requirements; label any inferred items and ask for confirmation.
  • Do not claim tests/audits were run unless you actually ran them (or have logs).
  • Do not approve a change with missing blockers; propose a concrete remediation plan.

平台分布

Codex

36.99%
按下载量换算58

Claude

32.4%
按下载量换算51

Cursor

17.43%
按下载量换算28

Gemini CLI

9.7%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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