ai-workflow-harness: Command for Claude Code

.claude/commands/cross-review.md

cross-review is a command for Claude Code from kyungseo/ai-workflow-harness. It costs 32 tokens per session (283 once invoked), scanned A, original, Apache-2.0.

A command for coordinating an optional review between coding agents. It standardizes reviewer findings, the main agent’s response, and cases needing the user’s decision.

In plain words
What is it for?
Relay a review through driver and reviewer roles, collect findings, and handle responses such as accept, revise, defend, or needs-user.
Why use it?
It creates a clear review loop without automatically applying feedback or forcing the review into every workflow.

Command for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions Claude Code.

This is kyungseo/ai-workflow-harness's own configuration. It tells Claude Code how to work on ai-workflow-harness 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 ai-workflow-harness configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kyungseo/ai-workflow-harness. 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/kyungseo/ai-workflow-harness/main/.claude/commands/cross-review.md
Clone the repo
git clone --depth 1 https://github.com/kyungseo/ai-workflow-harness

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 cross-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/kyungseo/ai-workflow-harness/cross-review/github.svg)](https://agentmods.dev/commands/kyungseo/ai-workflow-harness/cross-review)
Your own site
<a href="https://agentmods.dev/commands/kyungseo/ai-workflow-harness/cross-review"><img src="https://agentmods.dev/badge/commands/kyungseo/ai-workflow-harness/cross-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 cross-review

Your own site · 80×15
<a href="https://agentmods.dev/commands/kyungseo/ai-workflow-harness/cross-review"><img src="https://agentmods.dev/badge/commands/kyungseo/ai-workflow-harness/cross-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 283 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 $0.00032 $0.00283
Opus 5 $0.00016 $0.00142
Sonnet 5 $0.00006 $0.00057
Haiku 4.5 $0.00003 $0.00028

Measured 12d ago against content hash 0adb8a551c07, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cross-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.

.claude/commands/cross-review.md · 24 lines

What it actually says

/cross-review

이 파일은 Claude Code slash command adapter다. 상세 절차의 SSoT는 skills/workflow/cross-review.md다.

Step 0

먼저 skills/workflow/cross-review.md를 로드하고 그 절차를 따른다.

Hard Stops

  • skills/workflow/cross-review.md가 없거나 읽을 수 없으면 파일 수정, 상태 변경, commit, PR 생성, merge 전에 중단하고 누락된 canonical 파일을 보고한 뒤 사용자 확인을 받는다.
  • 이 workflow는 optional review relay다. 기본 workflow gate처럼 강제하지 않는다.
  • 파일 수정, 상태 변경, commit, PR 생성, merge 전에 branch isolation, Approval Matrix, validation-before-commit/PR gate를 확인한다.
  • reviewer finding은 자동 적용하지 않는다. driver가 accept / revise / defend / needs-user로 응답하고, needs-user는 사용자 결정 전 진행하지 않는다.

Entry Mechanism

Claude Code에서 /cross-review slash command로 호출된다. 전달된 인자는 canonical 절차의 $ARGUMENTS로 해석한다.

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 · 24 lines · 32 tokens per session scan A 0adb8a551c07

Subscribe to this mod's changes

cross-review is a command published in the GitHub repository kyungseo/ai-workflow-harness (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 283 once invoked, about $0.0002 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 2026-08-30.