Borrowing it
Nothing to install: this file belongs to tile-ai/tilelang-ascend. 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/tile-ai/tilelang-ascend/ascendc_pto/.agents/skills/tilelang-pass-design/SKILL.mdgit clone --depth 1 https://github.com/tile-ai/tilelang-ascendWrote 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/tile-ai/tilelang-ascend/tilelang-pass-design)<a href="https://agentmods.dev/skills/tile-ai/tilelang-ascend/tilelang-pass-design"><img src="https://agentmods.dev/badge/skills/tile-ai/tilelang-ascend/tilelang-pass-design/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/tile-ai/tilelang-ascend/tilelang-pass-design"><img src="https://agentmods.dev/badge/skills/tile-ai/tilelang-ascend/tilelang-pass-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00098 | $0.02918 |
| Opus 5 | $0.00049 | $0.01459 |
| Sonnet 5 | $0.00020 | $0.00584 |
| Haiku 4.5 | $0.00010 | $0.00292 |
Grade A, and why
tilelang-pass-design 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TileLang-Ascend Pass 设计文档生成 Skill
1. 目标
根据 Pass 需求信息，生成一份完整的 TileLang-Ascend Pass 设计文档（pass-design.md），涵盖以下核心决策：
- Pass 定位：Phase 1 / Phase 2 归属、Pipeline 具体位置
- 依赖分析：上游 Pass 输入、下游 Pass 输出、数据流传递
- IR 变换设计：输入 IR 结构、输出 IR 结构、变换逻辑
- 实现方案：C++ 类设计、核心方法、Python Wrapper、Pipeline 集成
- 测试方案：功能测试、依赖测试、边界测试
- 风险分析：已知约束、常见错误、与其他 Pass 的交互
2. 输入要求
必需信息
| 字段 | 说明 |
|---|---|
| Pass 名称 | 如 BufferReuseOptimizer、L0CLayoutOptimization |
| 功能描述 | Pass 要解决的问题和目标 |
| IR 变换类型 | 修改 IR / 收集信息 / 验证 IR |
| 平台范围 | 平台无关 / Ascend 特定 |
提问规则（必须严格遵守）：
- 每次只询问一个字段：使用
question工具时，questions数组中只包含一个元素 - 按表格顺序依次询问：Pass 名称 → 功能描述 → IR 变换类型 → 平台范围
- 已提供的字段跳过：如果用户在初始请求中已提供某个字段的值，跳过该字段继续下一个
推荐信息
| 字段 | 说明 |
|---|---|
| 参考 Pass | 可参考的现有 Pass 名称 |
| 输入数据依赖 | Pass 需要哪些 attrs（如 buffer_shapess、address_map） |
| 输出数据供给 | Pass 产生哪些 attrs 供下游使用 |
| 性能目标 | Pass 对编译时间或生成代码性能的影响 |
3. 工作流程
Phase 1：需求澄清
- 解析用户提供的 Pass 需求信息
- 检查必需字段是否完整
- 按顺序逐一提问补全缺失字段（每次只问一个）
Phase 2：信息收集
-
查阅 Pass 定位参考资料：
tilelang-pass-workflow-analyzer/references/pass-pipeline-overview.md- Pipeline 架构tilelang-pass-workflow-analyzer/references/new-pass-placement-guide.md- 定位决策流程tilelang-pass-workflow-analyzer/references/pass-dependency-graph.md- 依赖关系
-
查阅 Pass 实现参考资料：
tilelang-pass-analyzer/references/pass-registry-ascend.md- 类似 Pass 实现tilelang-pass-analyzer/references/ir-examples.md- IR 变换示例格式
-
查阅本 skill 的实现模式参考：
references/pass-impl-patterns.md- C++ 类模板、注册方式
Phase 3：Pass 定位分析
按照 new-pass-placement-guide.md 的决策流程：
Step 1：分析 Pass 功能
- Pass 的主要功能是什么？
- Pass 修改 IR 还是收集信息？
- Pass 是平台无关还是 Ascend 特定？
- Pass 属于哪类优化（Lowering / 合法化 / 内存 / 流水线 / 同步 / 其他）？
Step 2：分析依赖关系
- Pass 需要哪些输入数据（attrs）？
- 这些数据由哪个 Pass 产生？
- Pass 产生哪些输出数据？
- 这些数据由哪个 Pass 使用？
Step 3：确定阶段归属
- DSL Lowering / IR 合法化 → Phase 1
- 硬件优化 / 内存优化 / 同步优化 → Phase 2
- 输入数据来自 Phase 1 → 可在 Phase 1 或 Phase 2
- 输入数据来自 Phase 2 → 必须在 Phase 2
What ships with it
2 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.
- 10d ago First seen · 261 lines · 98 tokens per session scan A c3089b5a849a
tilelang-pass-design is a skill published in the GitHub repository tile-ai/tilelang-ascend (364 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 2,918 once invoked, about $0.0005 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.
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