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quality-gate质量门

Agent Skill

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。

总安装

451

周安装

19

GitHub Stars

3

下载量

158
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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。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。

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