Agent skill

Arch Check

by AgentsMesh in AgentsMesh/AgentsMesh

架构与实现审查 —— 基于「概念建模 → 职责划分 → 机制/策略分离 → 因果与不变量 → 属性建模 → 模块化 → SOLID → GRASP → YAGNI」的全维度审查,带置信度门控与假阳性抑制(对抗"过度工程建议"这类 AI slop)。触发于:要求 review/审查架构、检查目录结构/依赖关系/职责划分、重构前评估、技术债盘点、判断是否过度设计,或问「这个设计合理吗 / 该怎么拆…

Custom licenceAuto-check passedAgent Workflows

Install Arch Check

skills CLI
$ npx skills add AgentsMesh/AgentsMesh --skill arch-check -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgentsMesh/AgentsMesh arch-check --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgentsMesh/AgentsMesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/skills/arch-check .claude/skills/arch-check && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
arch-check
GitHub stars
2.4k
Token cost
~1.2k tokens
SKILL.md length
246 words
Files
8 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

架构与实现审查 —— 基于「概念建模 → 职责划分 → 机制/策略分离 → 因果与不变量 → 属性建模 → 模块化 → SOLID → GRASP → YAGNI」的全维度审查,带置信度门控与假阳性抑制(对抗"过度工程建议"这类 AI slop)。触发于:要求 review/审查架构、检查目录结构/依赖关系/职责划分、重构前评估、技术债盘点、判断是否过度设计,或问「这个设计合理吗 / 该怎么拆…

  • Works in 6 steps: 采集上下文 + 接地:读取范围内的 AGENTS.md、CLAUDE.md… → (仅 audit + 大范围)map-first 分诊:先建模块地图,按"最大… → 按 lens 审查:走全部 lens A–E(E 仅 git… → …
  • Agent Workflows work in your project
  • SKILL.md covers 调用解析, 两种作用域模式, 审查 lens(对应… and 接地原则(反幻觉,最高优先), plus 6 more sections
  • Calls git

What it does

Arch Check is an agent skill from AgentsMesh/AgentsMesh. 架构与实现审查 —— 基于「概念建模 → 职责划分 → 机制/策略分离 → 因果与不变量 → 属性建模 → 模块化 → SOLID → GRASP → YAGNI」的全维度审查,带置信度门控与假阳性抑制(对抗"过度工程建议"这类 AI slop)。触发于:要求 review/审查架构、检查目录结构/依赖关系/职责划分、重构前评估、技术债盘点、判断是否过度设计,或问「这个设计合理吗 / 该怎么拆 / 有没有循环依赖 / 这个改动架构上 OK 吗」。一律按最高强度审查。用法:arch-check [范围] [--fix|--plan]。范围可为目录/文件/PR;缺省审当前分支相对基线的全部变更。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/cochange-churn.md`, `references/concept-modeling.md` and `references/evidence-and-detection.md`).

It sits in Agent Workflows. It works with Git. The repository describes itself as: The AI Agent Workforce Platform. Run a hundred AI coding agents across your own machines — schedule, isolate, and steer them all from one console.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “过度工程建议”
  • “/arch-check”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 采集上下文 + 接地:读取范围内的 AGENTS.md、CLAUDE.md 或仓库提供的等价指令文件(仅记录路径与要点)、列出范围内文件;用 references/evidence-and-detection.md…
  2. (仅 audit + 大范围)map-first 分诊:先建模块地图,按"最大 / in-degree 最高 / churn 最高"挑出热点,只对热点深挖全 lens,其余轻扫。避免在大仓库里平均用力淹死。
  3. 按 lens 审查:走全部 lens A–E(E 仅 git 仓库),按优先级顺序,按需加载对应 reference。每个 lens 派一个并行子 agent,各自返回 findings;并发槽不足时分批 fan-out,保持每个 lens 的上下文独立,不得因此跳过 lens。
  4. 置信度评分 + 复核:对每条 finding 用下方 0–100 细则打分,滤掉 < 80 分的(无证据的结构性断言封顶 25,自动出局)。每条再派独立子 agent 对抗式复核(默认倾向"假阳性");并发不足时分批复核。
  5. 排序:按 严重度 × 置信度 排序。没有过线 finding 就如实说"未发现实质架构问题"。
  6. 产出:见「输出」。

What it can do on your machine

Read from SKILL.md and the folder at commit d38e393. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Arch Check loads about 1.2k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 246 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 246 words (~1,198 tokens).

name
arch-check

Read the full SKILL.md on GitHub

Files

SKILL.md and 7 other files (references) in agents/skills/arch-check of AgentsMesh/AgentsMesh.

  • SKILL.md
  • references/cochange-churn.md
  • references/concept-modeling.md
  • references/evidence-and-detection.md
  • references/report-format.md
  • references/responsibility-causality.md
  • references/solid-grasp-yagni.md
  • references/structure-modularity.md

Open the folder on GitHubat commit d38e393

Compare with similar skills

Arch Check next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Arch Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Arch Check this skillAgentsMesh/AgentsMesh2.4k—~1.2kAutomated safety check: PassCustom licence
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
CodeGraph Agent Evalcolbymchenry/codegraph73k—~950Automated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT

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More from AgentsMesh/AgentsMesh

  • E2E

    AgentsMesh/AgentsMesh

    Selects and runs the appropriate AgentsMesh end-to-end suite for Web, Desktop, MCP, or iOS, including worktree-specific environment setup and browser-level verification.

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  • Worktree

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  • Gh Merge

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    Completes the AgentsMesh GitHub pull-request workflow: commits scoped changes, rebases on the authoritative GitHub branch, opens or reuses a PR, monitors required checks, fixes failures, and merges…

    2.4k GitHub stars~715 tokensUpdated 15 days ago
    Auto-check passed
  • GitHub GitLab Mirror

    AgentsMesh/AgentsMesh

    Audits or synchronizes the authoritative GitHub main branch to the internal GitLab mirror without importing GitLab-only history back into GitHub.

    2.4k GitHub stars~707 tokensUpdated 15 days ago
    Auto-check passed

Works with

Categories

Questions about Arch Check

What does Arch Check do?

架构与实现审查 —— 基于「概念建模 → 职责划分 → 机制/策略分离 → 因果与不变量 → 属性建模 → 模块化 → SOLID → GRASP → YAGNI」的全维度审查,带置信度门控与假阳性抑制(对抗"过度工程建议"这类 AI slop)。触发于:要求 review/审查架构、检查目录结构/依赖关系/职责划分、重构前评估、技术债盘点、判断是否过度设计,或问「这个设计合理吗 / 该怎么拆…. Arch Check is an agent skill from AgentsMesh/AgentsMesh.

When should I use Arch Check?

Arch Check fits situations like: agent Workflows work in your project.

How do I install Arch Check in Claude Code?

Run `npx skills add AgentsMesh/AgentsMesh --skill arch-check -a claude-code`. Or copy the skill folder (agents/skills/arch-check in AgentsMesh/AgentsMesh) into .claude/skills/arch-check in your project. Claude Code loads it when a task matches its description.

How do I install Arch Check in Codex?

Run `npx skills add AgentsMesh/AgentsMesh --skill arch-check -a codex`. Or copy the skill folder (agents/skills/arch-check in AgentsMesh/AgentsMesh) into .agents/skills/arch-check in your project. Codex loads it when a task matches its description.

Can I use Arch Check in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgentsMesh/AgentsMesh --skill arch-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/arch-check, .gemini/skills/arch-check, .github/skills/arch-check and .opencode/skills/arch-check in your project.

What does Arch Check need to run?

Going by SKILL.md and its folder, Arch Check needs the command-line tools its instructions call (git).

Does Arch Check access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Arch Check safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Arch Check use?

Arch Check has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Arch Check use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7k tokens, read only when the agent opens those files.

What are the alternatives to Arch Check?

Skills that share tags, products or a category with Arch Check: Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), CodeGraph Agent Eval (colbymchenry/codegraph, 73k stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars) and O2 Review Loop (openobserve/openobserve, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Arch Check?

AgentsMesh (a GitHub organization) maintains it in AgentsMesh/AgentsMesh, which has 2,363 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 23, 2026.

Source: AgentsMesh/AgentsMesh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.