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.
npx skills add ChenyCHENYU/wl-skills-design --skill cross-design-reviewgit clone --depth 1 https://github.com/ChenyCHENYU/wl-skills-designWrote 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/chenychenyu/wl-skills-design/cross-design-review)<a href="https://agentmods.dev/skills/chenychenyu/wl-skills-design/cross-design-review"><img src="https://agentmods.dev/badge/skills/chenychenyu/wl-skills-design/cross-design-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/chenychenyu/wl-skills-design/cross-design-review"><img src="https://agentmods.dev/badge/skills/chenychenyu/wl-skills-design/cross-design-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 | $0.00092 | $0.00525 |
| Opus 5.5 | $0.00037 | $0.00210 |
| Sonnet 5.5 | $0.00018 | $0.00105 |
| Haiku 4.5 | $0.00009 | $0.00052 |
Grade A, and why
cross-design-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 2mo 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
设计集成评审
本 Skill 默认只读。评审报告可以提出补丁任务，但不得在评审过程中自动修改被评产物。
执行流程
- 读取唯一规则源：集成评审标准。
- 至少收集两个不同设计域的产物或验证报告，或一份既有集成评审报告；否则退回对应单域 Skill。缺失维度明确标为“未提供”，不得按通过计分。
- 按顺序执行：
- 使用 匿名空白模板，需要质量对照时读取 匿名合成样例。
- D1/D2/D3 消费 spec 43、DB 34、API 38 项结论；D4 执行 18 项联动。词典和原型存在时作为扩展维度单独报告，不与三域基础分母混算。
- 执行 RV 12 项报告自检，P0 一票否决，Pending 排除分母但必须显著展示。
交付约束
- 默认在对话中返回报告；仅当用户明确要求保存时，才写入
docs/review/DESIGN_REVIEW_{模块}_{日期}.md。 - 每个问题包含严重度、规则 ID、证据位置、影响和建议责任 Skill。
- 追溯矩阵覆盖功能、接口、表和关键字段；缺失关系不得猜测。
- 最终说明综合得分、等级、P0 数、缺失维度和保存状态；只有实际保存后才给出报告路径。
What ships with it
5 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.
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.
- 2mo ago First seen · 28 lines · 92 tokens per session scan A 89de9574232a
cross-design-review is a skill published in the GitHub repository ChenyCHENYU/wl-skills-design (5 stars, last pushed 17d ago), licensed Apache-2.0. It adds 92 tokens to every session and 525 once invoked, about $0.0004 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 2026-08-31.
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