EngramGraph: Skill for Claude Code

.agents/skills/code-review-assistant/SKILL.md

code-review is a skill for Claude Code from AsiaOstrich/EngramGraph. It costs 125 tokens per session (1,432 once invoked), scanned A, original, MIT.

A reference guide for reviewing code with a checklist and standard labels such as BLOCKING, IMPORTANT, and SUGGESTION.

In plain words
What is it for?
Use it to inspect a Git diff, record findings with clear priorities, and produce an overall review summary.
Why use it?
It gives reviews a consistent way to examine correctness, design, quality, and readability. The workflow is reference-only; enforced review execution has moved to another toolchain.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is AsiaOstrich/EngramGraph's own configuration. It tells Claude Code how to work on EngramGraph 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 EngramGraph configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is 完整的 AI 行為定義請參閱對應的命令文件:[`/code-review`](../commands/code-review.md#ai-agent-behavior--ai-代理行為).

Reuse

Borrowing it

Nothing to install: this file belongs to AsiaOstrich/EngramGraph. 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/AsiaOstrich/EngramGraph/main/.agents/skills/code-review-assistant/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/AsiaOstrich/EngramGraph

Made for: Claude Code.

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 code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/asiaostrich/engramgraph/code-review-assistant/github.svg)](https://agentmods.dev/skills/asiaostrich/engramgraph/code-review-assistant)
Your own site
<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/code-review-assistant"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/code-review-assistant/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 code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/code-review-assistant"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/code-review-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,432 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 $0.00125 $0.01432
Opus 5.5 $0.00050 $0.00573
Sonnet 5.5 $0.00025 $0.00286
Haiku 4.5 $0.00013 $0.00143

Measured 14d ago against content hash 63ca01669685, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 14d 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.

.agents/skills/code-review-assistant/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Assistant | 程式碼審查助手

⚠️ Status: Reference(參考用,非可執行流程) — 程式碼審查流程協調(4 步驟序列、outcome gating)已於 2026-04-28 移至 adoption layer(XSPEC-095)。此處保留 8 大審查類別定義、BLOCKING/IMPORTANT/SUGGESTION/QUESTION/NOTE 前綴語意供參考。 Lifecycle orchestration has moved to the adoption layer (XSPEC-095); this document is reference-only. For enforced execution, use your adoption layer's toolchain.

Perform systematic code review using standardized checklists and comment prefixes.

執行系統性的程式碼審查,使用標準化的檢查清單和評論前綴。

Workflow | 工作流程

📖 以下為流程的參考結構,非可執行步驟;自動化/強制執行請用 adoption layer 工具鏈(XSPEC-095)。 The steps below are a reference structure, not an executable workflow.

  1. Identify changes - Get diff of files to review via git diff or git show
  2. Apply checklist - Check each review category systematically
  3. Generate report - Output findings with standard comment prefixes
  4. Summarize - Provide overall assessment and recommended actions

Review Categories | 審查類別

  1. Functionality - Does it work correctly? | 功能是否正確?
  2. Design - Is the architecture appropriate? | 架構是否合適?
  3. Quality - Is the code clean and maintainable? | 程式碼是否乾淨可維護?
  4. Readability - Is it easy to understand? | 是否容易理解?
  5. Tests - Is there adequate test coverage? | 測試覆蓋是否足夠?
  6. Security - Are there any vulnerabilities? | 是否有安全漏洞?
  7. Performance - Is it efficient? | 是否有效率?
  8. Error Handling - Are errors handled properly? | 錯誤處理是否妥當?

Comment Prefixes | 評論前綴

Prefix Meaning Action 動作
BLOCKING Must fix before merge Required 必須修復
IMPORTANT Should fix Recommended 建議修復
SUGGESTION Nice-to-have Optional 可選改善
QUESTION Need clarification Discuss 需要討論
NOTE Informational FYI 僅供參考

Read the full file on GitHub · 95 lines

Files

What ships with it

3 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. 14d ago First seen · 95 lines · 125 tokens per session scan A 63ca01669685

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository AsiaOstrich/EngramGraph (3 stars, last pushed today), licensed MIT. It adds 125 tokens to every session and 1,432 once invoked, about $0.0005 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 2026-10-16.