change-review

change-review is a skill for Claude Code, Codex from lupingluke-ai/general-ai-spec. It costs 67 tokens per session (8,364 once invoked), scanned A, original, MIT.

A workflow for reviewing completed software changes, checking them before merging, and archiving the related project records. A branch is a separate line of Git work, and a pull request is a proposed change reviewed before it is merged.

In plain words
What is it for?
Use it after a task dispatcher has completed groups of work. It reviews pull requests, runs local checks, verifies the result in three dimensions, merges approved changes, and updates governance records.
Why use it?
It checks that implementation, plans, tests, and project records agree before delivery. It also makes the review and archive steps recoverable if the process is run again.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions AGENTS.md; mentions Codex.

Good fit Use it after a task dispatcher has completed groups of work. It reviews pull requests, runs local checks, verifies the result in three dimensions, merges approved changes, and updates governance records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lupingluke-ai/general-ai-spec/change-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lupingluke-ai/general-ai-spec --skill change-review
Clone the repo
git clone --depth 1 https://github.com/lupingluke-ai/general-ai-spec

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for change-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/lupingluke-ai/general-ai-spec/change-review/github.svg)](https://agentmods.dev/skills/lupingluke-ai/general-ai-spec/change-review)
Your own site
<a href="https://agentmods.dev/skills/lupingluke-ai/general-ai-spec/change-review"><img src="https://agentmods.dev/badge/skills/lupingluke-ai/general-ai-spec/change-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for change-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/lupingluke-ai/general-ai-spec/change-review"><img src="https://agentmods.dev/badge/skills/lupingluke-ai/general-ai-spec/change-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,364 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.08364
Opus 5 $0.00034 $0.04182
Sonnet 5 $0.00013 $0.01673
Haiku 4.5 $0.00007 $0.00836

Measured 12d ago against content hash 3372f13eec87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

change-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/change-review/SKILL.md · 563 lines

How it starts

The opening of the file, as written. The whole thing — 563 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Change Review & Archive

Overview

接管 dispatch runner 执行完成后的全部收尾流程:PR 审查 → 分形同步(在 feature branch 上)→ 本地 CI → rebase → 三维 Verify → 合并实现 PR → main-side sync → governance archive PR → 更新 backlog

Branch-Centric 模型: 四件套和实现代码都在 feature branch 上,通过 PR 审查和合并。审查者可在 PR diff 中同时看到方案(四件套)和实现(代码),确保一致性。

可恢复闭环: 所有可能阻止交付的硬检查都在实现 PR 合并前完成。required checks 尚未完成时启用 auto-merge 并结束本轮;实现 PR 合并后,归档与共享治理文件通过确定性 governance/change-review/<change-id> PR 发布。重跑本 skill 会同时检查实现 PR 与 governance PR,因而不会重复 sync、move 或提交。

Announce at start: "Running change-review: checking for changes ready for review."

Bash 命令规范

为兼容 Claude Code / Codex 等不同执行环境的权限与审批模型,所有 Bash 操作必须遵循:

  1. 每条命令独立调用 — 不在一条 Bash 中用 &&||; 串联多条命令
  2. 管道可以用 — 单条命令内的管道(如 git branch -r | grep feat/)是允许的
  3. 并行无依赖时分开调用 — 多条独立命令应作为多个并行 Bash tool call 发送

类型 → 分支前缀映射规则

type 的事实源是 product/backlog.md类型列(Step 1 方式 A 扫描 backlog 时同一行直接读到);方式 B/D 从 PR 的 headRefName 分支前缀直接得到。由 type 映射 branch / commit 前缀:

type branch 前缀 commit type
feature feat/ feat
bug fix/ fix
chore chore/ chore
hotfix hotfix/ fix

下方 Step 1 / Step 3 / Step 6 所有命令中的 <branch-prefix><commit-type> 均按本规则映射,不从 change-id 字符串反解析。

示例:

# ❌ 错误:复合命令触发确认
git fetch origin && git branch -r | grep feat/ && gh pr list --state open

# ✅ 正确:拆分为独立调用
# Call 1: git fetch origin
# Call 2: git branch -r | grep feat/
# Call 3: gh pr list --state open --json number,headRefName,title,isDraft

Step 1 — 发现待审查 Change

四种发现方式:

方式 A:扫描 Backlog + Feature Branch

读取 main 上 product/backlog.md,找到阶段为 proposed 且有 change-id 的条目(backlog 只有 4 阶段:idea/exploring/proposed/done;执行中 / 审查中的细粒度由 tasks.md YAML status 承担)。对每个 change-id:

git fetch origin <branch-prefix>/<change-id>
git show origin/<branch-prefix>/<change-id>:openspec/changes/<change-id>/tasks.md

筛选 YAML 头 status: review 的 change。

若 fetch feature branch 失败,但 main 上 backlog 仍为 proposed,不要直接放弃;进入方式 D 检查是否属于"已 merge 但未 archive"恢复场景。

Read the full file on GitHub · 563 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 563 lines · 67 tokens per session scan A 3372f13eec87

Subscribe to this mod's changes

change-review is a skill published in the GitHub repository lupingluke-ai/general-ai-spec (5 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 8,364 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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