Agent skill

Secondary Architecture Reviewer

by HsienW in HsienW/chat-gun

對 OpenSpec、Git Diff、frontend、bff、backend、LangGraph、Tool、MCP 與安全邊界進行獨立唯讀審查,輸出 Blocker、Major、Minor 與標準 Verdict。

Custom licenceAuto-check passedAI & LLM Engineering

Install Secondary Architecture Reviewer

skills CLI
$ npx skills add HsienW/chat-gun --skill secondary-architecture-reviewer -a claude-code

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

GitHub CLI
$ gh skill install HsienW/chat-gun secondary-architecture-reviewer --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/HsienW/chat-gun.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.qwen/skills/secondary-architecture-reviewer .claude/skills/secondary-architecture-reviewer && 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
secondary-architecture-reviewer
GitHub stars
143
Token cost
~775 tokens
SKILL.md length
188 words
Files
2
Skills in repo
8
Repo updated
First seen
Licence
Custom licence

At a glance

對 OpenSpec、Git Diff、frontend、bff、backend、LangGraph、Tool、MCP 與安全邊界進行獨立唯讀審查,輸出 Blocker、Major、Minor 與標準 Verdict。

  • Works in 9 steps: 根目錄 AGENTS.md。 → 根目錄 QWEN.md。 → .qwen/skills/openspec-workflow-router/SKI… → …
  • Tasks that involve Building AI agents
  • SKILL.md covers 使用時機, 強制前置條件, 唯讀邊界 and 審查順序, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Secondary Architecture Reviewer is an agent skill from HsienW/chat-gun. 對 OpenSpec、Git Diff、frontend、bff、backend、LangGraph、Tool、MCP 與安全邊界進行獨立唯讀審查,輸出 Blocker、Major、Minor 與標準 Verdict。

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).

It sits in AI & LLM Engineering, covering Building AI agents. It works with LangGraph, Model Context Protocol, Git and Qwen. The repository describes itself as: 🤖 A full-stack Agent Chat Runtime for pre-production validation, built with act, TypeScript, and LangGraph JS combining streaming, multimodal, HITL, and tools with durable…

When your agent uses it

  • Tasks that involve Building AI agents

Example prompts

  • “/secondary-architecture-reviewer”

Workflow steps

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

  1. 根目錄 AGENTS.md。
  2. 根目錄 QWEN.md。
  3. .qwen/skills/openspec-workflow-router/SKILL.md,用來判定 OpenSpec lifecycle stage 與上下文讀取策略。
  4. 受影響套件最近的 AGENTS.md。
  5. 相關能力域規則,例如 docs/agent-rules/weather.md。
  6. openspec/config.yaml。
  7. 指定 Change 的 Proposal、Specs、Design、Tasks。
  8. 受影響程式、測試、Schema 與文件。
  9. Coordinator 提供的 Base、Patch/Diff、Changed Files 與驗證結果。

What it can do on your machine

Read from SKILL.md and the folder at commit 826d29d. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

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

  • Network

    No URLs in SKILL.md.

    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

Secondary Architecture Reviewer loads about 775 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 188 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~775

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 188 words (~775 tokens).

name
secondary-architecture-reviewer

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .qwen/skills/secondary-architecture-reviewer of HsienW/chat-gun.

  • SKILL.md
  • reference.md

Open the folder on GitHubat commit 826d29d

Compare with similar skills

Secondary Architecture Reviewer 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.

Secondary Architecture Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Secondary Architecture Reviewer this skillHsienW/chat-gun143—~775Automated safety check: PassCustom licence
Workflow AI Codingw8123/EnterpriseAgentFramework865—~3.7kAutomated safety check: PassMIT
Dive Into LangGraphluochang212/dive-into-langgraph457—~837Automated safety check: NotesCustom licence
Agent AI Codingw8123/EnterpriseAgentFramework865—~1.4kAutomated safety check: PassMIT
Reachai Onboardingw8123/EnterpriseAgentFramework865—~6.1kAutomated safety check: PassMIT
Agent Prompt Engineeringagentailor/fullstack-langgraph-nextjs-agent132—~3.6kAutomated safety check: PassMIT

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Questions about Secondary Architecture Reviewer

What does Secondary Architecture Reviewer do?

對 OpenSpec、Git Diff、frontend、bff、backend、LangGraph、Tool、MCP 與安全邊界進行獨立唯讀審查,輸出 Blocker、Major、Minor 與標準 Verdict。. Secondary Architecture Reviewer is an agent skill from HsienW/chat-gun.

When should I use Secondary Architecture Reviewer?

Secondary Architecture Reviewer fits situations like: tasks that involve Building AI agents.

How do I install Secondary Architecture Reviewer in Claude Code?

Run `npx skills add HsienW/chat-gun --skill secondary-architecture-reviewer -a claude-code`. Or copy the skill folder (.qwen/skills/secondary-architecture-reviewer in HsienW/chat-gun) into .claude/skills/secondary-architecture-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Secondary Architecture Reviewer in Codex?

Run `npx skills add HsienW/chat-gun --skill secondary-architecture-reviewer -a codex`. Or copy the skill folder (.qwen/skills/secondary-architecture-reviewer in HsienW/chat-gun) into .agents/skills/secondary-architecture-reviewer in your project. Codex loads it when a task matches its description.

Can I use Secondary Architecture Reviewer 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 HsienW/chat-gun --skill secondary-architecture-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/secondary-architecture-reviewer, .gemini/skills/secondary-architecture-reviewer, .github/skills/secondary-architecture-reviewer and .opencode/skills/secondary-architecture-reviewer in your project.

What does Secondary Architecture Reviewer need to run?

SKILL.md names no scripts, command-line tools or credentials: Secondary Architecture Reviewer is instructions for the agent only.

Does Secondary Architecture Reviewer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Secondary Architecture Reviewer 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 Secondary Architecture Reviewer use?

Secondary Architecture Reviewer 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 Secondary Architecture Reviewer use?

About 775 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Secondary Architecture Reviewer?

Skills that share tags, products or a category with Secondary Architecture Reviewer: Workflow AI Coding (w8123/EnterpriseAgentFramework, 865 stars), Dive Into LangGraph (luochang212/dive-into-langgraph, 457 stars), Agent AI Coding (w8123/EnterpriseAgentFramework, 865 stars) and Reachai Onboarding (w8123/EnterpriseAgentFramework, 865 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Secondary Architecture Reviewer?

HsienW (a GitHub user) maintains it in HsienW/chat-gun, which has 143 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 11, 2026.

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