workflow-code-review

workflow-code-review is a skill for Claude Code, Codex from davidYichengWei/agentic-engineering-framework. It costs 47 tokens per session (2,135 once invoked), scanned A, original, MIT.

A code-review workflow that sends a change to several specialist reviewers at the same time, then combines and judges their findings.

In plain words
What is it for?
Use it to review selected files, a Git diff, or a commit and produce a consolidated report with duplicate findings removed and issues checked further when needed.
Why use it?
It reduces the chance that one reviewer misses problems in performance, reliability, engineering practices, trust, or fit with the requested design.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to review selected files, a Git diff, or a commit and produce a consolidated report with duplicate findings removed and issues checked further when needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidyichengwei/agentic-engineering-framework/workflow-code-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 davidYichengWei/agentic-engineering-framework --skill workflow-code-review
Clone the repo
git clone --depth 1 https://github.com/davidYichengWei/agentic-engineering-framework

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 workflow-code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidyichengwei/agentic-engineering-framework/workflow-code-review/github.svg)](https://agentmods.dev/skills/davidyichengwei/agentic-engineering-framework/workflow-code-review)
Your own site
<a href="https://agentmods.dev/skills/davidyichengwei/agentic-engineering-framework/workflow-code-review"><img src="https://agentmods.dev/badge/skills/davidyichengwei/agentic-engineering-framework/workflow-code-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 workflow-code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidyichengwei/agentic-engineering-framework/workflow-code-review"><img src="https://agentmods.dev/badge/skills/davidyichengwei/agentic-engineering-framework/workflow-code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,135 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 $0.00047 $0.02135
Opus 5.5 $0.00019 $0.00854
Sonnet 5.5 $0.00009 $0.00427
Haiku 4.5 $0.00005 $0.00214

Measured 1mo ago against content hash 3feb41652953, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflow-code-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 1mo 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/workflow-code-review/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Agent Code Review

你是 Judge——编排流程、去重分诊、最终裁决、输出报告。你不是 reviewer,不产出 finding。

Subagent 清单

角色 subagent_name 调用方式
性能审查 performance-reviewer 始终调用
健壮性审查 robustness-reviewer 始终调用
工程规范审查 standards-reviewer 始终调用
契约与信任链审查 magical-prompt-reviewer 始终调用
需求/设计符合度审查 spec-compliance-reviewer 始终调用
对抗性验证 review-critic 有 finding 时调用

工作流

1. 解析 review 范围

根据用户输入确定审查文件和 diff 来源。若范围不清,先澄清再继续。

  • 指定文件/spec/task → 直接使用
  • 给出 git diff/commit → 解析变更文件
  • 无具体范围 → git diff --cached 或 git diff HEAD

2. 构建共享上下文

  • 在 docs/design-docs/ 下搜索相关 spec.md 和 tasks.md
  • 确定审查文件、上下文文件(caller/callee/接口定义)
  • 根据文件类型和目录确定适用 skill
  • 提炼与本次 review 相关的 spec/task 摘要

3. 并行分派 reviewer

并行调用 reviewer subagent。必须等待所有 reviewer subagent 返回后才能进入 Step 4——禁止主 agent 自己产出 finding。

跳过列表:调用方可在请求中通过 skip_reviewers: [name1, name2] 指定要跳过的 reviewer。未指定时全部调用。

每个 reviewer 的 prompt 按以下模板构建:

审查以下代码变更,在你的维度内产出候选 finding。

[Review Scope]
- 审查文件:{files_under_review}
- 上下文文件:{context_files 或 None}
- Spec:{spec_path 或 N/A}
- Tasks:{tasks_path 或 N/A}
- 当前 Task:{task_id 或 N/A}
- 适用 skill:{skill_list}
- 变更摘要:{scope_summary}

[Severity]
- P0:应阻止合入(功能错误、数据错误、崩溃、严重并发错误、与 spec 关键偏离)
- P1:应该修复但不一定阻塞(特定条件触发、影响可控但风险明确)
- P2:改进建议(不影响正确性/稳定性/性能基线)

只报你的维度内的问题。其他维度的线索可以用一行 handoff note 提示。

4. 去重归类 & 输出 Reviewer 意见汇总

收齐结果后:

  • 合并同根因 / 同位置 / 同调用链的 finding,保留最高 severity
  • 归类整理所有 finding,为每条分配全局唯一编号 F-{seq}

零 finding 快速路径:若所有 reviewer 均无正式 finding,直接跳到第 7 步输出 PASS 报告。

完成去重后,立即向用户输出 Reviewer 意见汇总(让用户看到各维度的原始审查视角):

---

## 📋 Reviewer 意见汇总

### 性能审查 (performance-reviewer)

- **F-1** [P1]
  - **位置**: `file:line`
  - **问题**: [一句话问题摘要]
  - **证据**: [支撑该问题的关键代码片段/数据/逻辑推理]
- **F-2** [P2]
  - **位置**: `file:line`
  - **问题**: [一句话问题摘要]
  - **证据**: [支撑该问题的关键代码片段/数据/逻辑推理]
- 💡 **Handoff notes**: [该 reviewer 发现但属于其他维度的线索,无则省略此行]

### 健壮性审查 (robustness-reviewer)

- **F-3** [P0]
  - **位置**: `file:line`
  - **问题**: [一句话问题摘要]
  - **证据**: [支撑该问题的关键代码片段/数据/逻辑推理]
- 💡 **Handoff notes**: ...

### 工程规范审查 (standards-reviewer)

(同上格式,无 finding 则显示"✅ 无发现")

### 契约与信任链审查 (magical-prompt-reviewer)

(同上格式)

### 需求/设计符合度审查 (spec-compliance-reviewer)

(同上格式)

---

Read the full file on GitHub · 216 lines

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. 1mo ago First seen · 216 lines · 47 tokens per session scan A 3feb41652953

Subscribe to this mod's changes

workflow-code-review is a skill published in the GitHub repository davidYichengWei/agentic-engineering-framework (159 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 2,135 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

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