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.
curl -O https://raw.githubusercontent.com/kyungseo/ai-workflow-harness/main/.agents/skills/workflow-cross-review/SKILL.mdgit clone --depth 1 https://github.com/kyungseo/ai-workflow-harnessWrote 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.
[](https://agentmods.dev/skills/kyungseo/ai-workflow-harness/workflow-cross-review)<a href="https://agentmods.dev/skills/kyungseo/ai-workflow-harness/workflow-cross-review"><img src="https://agentmods.dev/badge/skills/kyungseo/ai-workflow-harness/workflow-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.
<a href="https://agentmods.dev/skills/kyungseo/ai-workflow-harness/workflow-cross-review"><img src="https://agentmods.dev/badge/skills/kyungseo/ai-workflow-harness/workflow-cross-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00319 |
| Opus 5.5 | $0.00014 | $0.00128 |
| Sonnet 5.5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
workflow-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 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.
What it actually says
workflow-cross-review
Use this skill only when the user explicitly invokes /cross-review or explicitly asks to prepare or ingest a cross-agent review relay. Do not auto-trigger merely because the user mentions "review" or "red-team" in passing. This is an optional relay, not a default gate.
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
Codex는 AGENTS.md의 skill routing을 통해 이 adapter를 찾는다. Claude command 파일은 실행하지 않는다.
Antigravity는 이 Codex adapter를 재사용한다.
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.
- 1mo ago First seen · 25 lines · 36 tokens per session scan A ce26c85602ea
workflow-cross-review is a skill published in the GitHub repository kyungseo/ai-workflow-harness (14 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 319 once invoked, about $0.0001 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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