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Pace Guard

Community
arch-team
pace-guard

Use when user wants to assess risks before development, check current risk status, analyze risk trends, or says "风险/预检/预分析/guard/risk/隐患/安全检查". Also auto-invoked during advance mode intent checkpoint for L/XL CRs. NOT for /pace-dev (implementation), NOT for /pace-review (quality gate), NOT for /pace-test (testing).

Overview

Publisherarch-team
Repositorydevpace
Skill namepace-guard
Stars
73
Forks
6
Bundled files
7
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by arch-team on GitHub. Read the source before you install it.

Installation

Install the Pace Guard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/arch-team/devpace/tree/main/skills/pace-guard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/arch-team/devpace.git /tmp/devpace
mkdir -p .claude/skills
cp -r /tmp/devpace/skills/pace-guard .claude/skills/pace-guard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pace Guard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pace Guard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pace Guard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/pace-guard — 风险预判与管理

统一管理开发全生命周期的风险：从编码前的 Pre-flight 扫描，到开发中的实时监控，再到跨迭代的趋势分析——让风险可见、可追踪、可解决。风险评估覆盖 Epic 级别（Epic 范围风险影响其下所有 BR/PF/CR）。

推荐使用流程

编码前预检：  scan（L/XL CR 意图检查点自动触发）
开发中监控：  monitor（pace-pulse 周期性触发）
问题解决：    resolve RISK-xxx mitigated
迭代回顾：    trends → report

子命令

子命令用途输入自动触发
scanPre-flight 风险扫描CR 编号或当前 CRL/XL 意图检查点
monitor实时风险汇总当前 CRpace-pulse 第 8 信号
trends跨 CR 趋势分析迭代 ID（可选）pace-retro 报告
report风险全局视图—用户显式调用
resolve更新风险状态RISK 编号 + 目标状态Gate 通过后自动提议

输入

$ARGUMENTS：

  • scan [CR编号] [--full|--detail] → 对指定 CR（或当前活跃 CR）执行 Pre-flight 风险扫描。--full 强制完整 5 维扫描，--detail 展示全维度矩阵
  • monitor [CR编号] [--detail|--brief] → 汇总当前 CR 的实时风险状态。默认简要输出，--detail 展开完整表格
  • trends [迭代ID] [--detail] → 分析跨 CR 的风险趋势（默认当前迭代）。默认摘要，--detail 展示完整趋势报告
  • report [--brief|--detail] → 生成项目级风险全局视图
  • resolve <RISK编号> <目标状态> → 更新指定风险的状态（mitigated / accepted / resolved）
  • resolve --batch [严重度] → 批量处理同等级的 open 风险
  • （空）→ 等同于 scan，对当前 CR 执行风险扫描

流程

Step 1：上下文加载

  1. 检查 .devpace/ 是否存在：
    • 存在 → 读取 state.md 确定当前 CR 和项目状态，继续 Step 2
    • 不存在（降级模式） → 基于代码库直接分析（无 CR 级风险追踪，仅提供即时风险评估）
  2. 如果指定了 CR 编号 → 定位对应 CR 文件
  3. 如果未指定 → 读取 state.md 当前活跃 CR

Step 2：路由到子命令

根据 $ARGUMENTS 第一个参数路由（仅读取匹配子命令的规程文件）：

参数流程加载文件
（空）/ scanPre-flight 风险扫描skills/pace-guard/guard-procedures-common.md + skills/pace-guard/guard-procedures-scan.md
monitor实时风险汇总skills/pace-guard/guard-procedures-common.md + skills/pace-guard/guard-procedures-monitor.md
trends跨 CR 趋势分析skills/pace-guard/guard-procedures-trends.md（自包含）
report风险全局视图skills/pace-guard/guard-procedures-report.md（自包含）
resolve更新风险状态skills/pace-guard/guard-procedures-common.md + skills/pace-guard/guard-procedures-resolve.md

Step 3：执行并报告

  1. 按子命令流程执行
  2. 将风险发现写入 CR 文件"风险预评估"section（scan/monitor 产出）
  3. 更新 state.md（如有状态变化）
  4. 智能推荐：风险评估类报告末尾根据风险等级推荐下一步操作（详见各子命令规程文件）

输出

各子命令均支持 --brief/--detail 分层输出，具体格式和降级模式见对应 procedures 文件。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pace Guard AI skill do?

Use when user wants to assess risks before development, check current risk status, analyze risk trends, or says "风险/预检/预分析/guard/risk/隐患/安全检查". Also auto-invoked during advance mode intent checkpoint for L/XL CRs. NOT for /pace-dev (implementation), NOT for /pace-review (quality gate), NOT for /pace-test (testing).

Why use Pace Guard on TypingMind?

Because you install it once and use it with any model. Pace Guard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pace Guard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arch-team/devpace/tree/main/skills/pace-guard. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pace Guard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pace Guard?

As many as you like. As long as a model supports skills, you can use Pace Guard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pace Guard AI skill free?

Yes. It is published on GitHub by arch-team under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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