Borrowing it
Nothing to install: this file belongs to ChenyCHENYU/wl-skills-design. 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/ChenyCHENYU/wl-skills-design/main/files/.github/copilot-instructions.mdgit 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/instructions/chenychenyu/wl-skills-design/copilot-instructions)<a href="https://agentmods.dev/instructions/chenychenyu/wl-skills-design/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/chenychenyu/wl-skills-design/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00644 | $0.00644 |
| Opus 5 | $0.00322 | $0.00322 |
| Sonnet 5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
wl-skills-design copilot-instructions.md 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 8d 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
wl-skills-design 产品设计调度说明
版本：v0.11.1。详细能力按需从 Agent Skill 加载，不要把全部规范注入无关任务。
调度入口
- 读取
.github/skills/_manifest.json，只选择status=released的能力。 - 先判定动作意图：
impact→review→validate→repair→maintain→create。 - 再判定领域；普通代码 review、PR review 和代码重构不得进入产品设计评审。
- 应用 manifest 中的精确词、负向词、优先级和最小领先分差。并列或信息不足时只追问一个关键问题。
- 选定后读取对应
SKILL.md；详细标准、模板和样例只在该 Skill 要求时加载。
执行约束
validate和review默认只读，只输出规则编号、位置、证据和建议。- 只有用户明确要求修复，或正在修复本轮新生成产物时，才可进入
repair。 - 标准文件是规则事实源；Skill 只定义工作流，Prompt 只定义人工快捷入口。
- 缺失业务事实使用
【待补充：说明】，不得编造客户、系统、字段或审批结论。 - 模板不得包含组织名称、项目标识、地点、业务单号或线上业务数据。
- 工作区存在
docs/design-model.json时，优先用稳定 ID 做跨文档集合校验；冲突先报告，不静默覆盖。 - 各包必须独立可用；WL 兼容协议是内置约定而非包依赖。没有 design-model 时不得阻断前后端契约建立。
- 输出必须说明所用 Skill、标准、产物路径、验证结果和暂挂项。
能力索引
requirements-flowchart：draw.io 泳道流程图requirements-prototype：D1–D3 页面与交互标注requirements-spec-doc：需求设计说明书与 IPOdata-database-design：ER、数据字典、DDLapi-interface-design：集成报文与 RESTful 接口cross-glossary：术语、字段、枚举与编码注册cross-design-review：跨文档评审和追溯矩阵cross-change-impact：增量变更影响矩阵和补丁计划doc-intake：半成品文档接入、差距分析和补全任务code-architecture：模块边界、分层依赖、契约和质量门设计
人读索引见 .github/skills/_registry.md，使用说明见 .github/guides/usage.md。
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.
- 8d ago First seen · 38 lines · 644 tokens per session scan A fe012f96ffc7
wl-skills-design copilot-instructions.md is an instructions file published in the GitHub repository ChenyCHENYU/wl-skills-design (5 stars, last pushed 24d ago), licensed Apache-2.0. It adds 644 tokens to every session, about $0.0032 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 2026-08-31.
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