AICodingFlow: Skill for Claude Code

.agents/skills/pr-walkthrough/SKILL.md

pr-walkthrough is a skill for Claude Code, Codex from Terry-Mao/AICodingFlow. It costs 53 tokens per session (3,227 once invoked), scanned A, original, MIT.

A local interactive webpage that explains a pull request through maps and diagrams. A pull request is a proposed code change for review; the page shows its systems, data flow, code relationships, and user actions.

In plain words
What is it for?
Use it to create a zoomable view of a pull request or current branch, including system components, dependencies, information flow, and user paths.
Why use it?
It helps reviewers understand a large or unfamiliar change before reading every file. The result can be opened locally as a static HTML file without a development server or build setup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Terry-Mao/AICodingFlow's own configuration. It tells Claude Code and Codex how to work on AICodingFlow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AICodingFlow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Terry-Mao/AICodingFlow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Terry-Mao/AICodingFlow/main/.agents/skills/pr-walkthrough/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow

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 pr-walkthrough

README.md
[![agentmods](https://agentmods.dev/badge/skills/terry-mao/aicodingflow/pr-walkthrough/github.svg)](https://agentmods.dev/skills/terry-mao/aicodingflow/pr-walkthrough)
Your own site
<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/pr-walkthrough"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/pr-walkthrough/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 pr-walkthrough

Your own site · 80×15
<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/pr-walkthrough"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/pr-walkthrough.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,227 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00053 $0.03227
Opus 5.5 $0.00021 $0.01291
Sonnet 5.5 $0.00011 $0.00645
Haiku 4.5 $0.00005 $0.00323

Measured 1mo ago against content hash 9d64edabcc6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-walkthrough 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/d3_canvas_runtime.py, scripts/validate_d3_canvas.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/pr-walkthrough/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pr-walkthrough

为当前分支或 GitHub PR 生成一个本地静态 HTML 讲解页,帮助 reviewer 快速理解 PR 涉及的系统、数据流、代码依赖和用户路径。此技能不是代码评审技能,不生成新的 review finding、approval 或 request-changes 结论。

输出

生成文件到临时目录下的统一 slug 目录。默认本地产物根目录为 ${TMPDIR:-/tmp}/pr-walkthrough(并去掉末尾 /);如果用户明确指定其他目录,可改用指定目录。

优先使用 PR number;无 PR number 时使用当前分支名:

$output_dir/graph.json
$output_dir/index.html

<short-sha> 是生成 walkthrough 时的 head commit 短 SHA。<sanitized-branch> 使用小写字母、数字和 -,把 /、空格和其他分隔符归一为 -。本地目录名和 GitHub Pages 路径必须使用同一个 slug。PR 更新后再次调用会因 short SHA 变化生成新目录;只有用户明确要求更新同一路径时才覆盖旧目录。不要把生成产物写入仓库目录,除非用户明确要求。

站点必须可以直接用 file:// 打开,不要求 dev server、打包器、安装依赖或构建步骤。优先生成单个自包含 HTML 文件,内联 CSS、JavaScript 和图数据;如果必须拆分资源,只使用相对路径,并避免用 fetch() 读取本地数据。

D3 使用固定版本的官方 CDN:

https://cdn.jsdelivr.net/npm/[email protected]/dist/d3.min.js

优先使用本技能自带脚本生成和验证页面:

python3 .agents/skills/pr-walkthrough/scripts/d3_canvas_runtime.py --template --data "$graph_json" > "$index_html"
python3 .agents/skills/pr-walkthrough/scripts/validate_d3_canvas.py --html "$index_html" --require-browser

视觉风格

不要套用任何公司视觉规范、专属字体、专属色或外部视觉规范技能。使用脚本内置的中性文档/工具界面样式即可。可以为四个视图使用不同的功能色,但颜色只表达信息类型,不表达品牌。

推荐视图颜色:

  • System overview view: #b7791f
  • Data flow graph: #0f7b5f
  • Code dependency graph: #2563eb
  • User action graph: #7c3aed
  • Active/focus/selected node: #2563eb

工作流

1. 建立 PR 上下文

识别仓库根目录、当前分支和比较 base。若用户 Prompt 明确给出 PR number、#<number> 或 PR URL,先把该编号记录为 pr_number。否则从当前分支的 GitHub PR 获取 pr_number,并优先使用 PR base、记录 PR URL 生成 diff links:

pr_number="${pr_number:-}"  # 用户 Prompt 已明确给出 PR 编号时,先由执行者设置这个变量。
if [ -z "$pr_number" ]; then
  pr_number="$(gh pr view --json number --jq '.number // empty' 2>/dev/null || true)"
fi

if [ -n "$pr_number" ]; then
  gh pr view "$pr_number" --json number,baseRefName,headRefName,title,body,url,state,reviewRequests,reviews,files
else
  gh pr view --json number,baseRefName,headRefName,title,body,url,state,reviewRequests,reviews,files
fi

若没有 PR,从远端默认分支或仓库约定推断 base:

Read the full file on GitHub · 290 lines

Files

What ships with it

2 files 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. 1mo ago First seen · 290 lines · 53 tokens per session scan A 9d64edabcc6e

Subscribe to this mod's changes

pr-walkthrough is a skill published in the GitHub repository Terry-Mao/AICodingFlow (169 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 3,227 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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