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 agentmods add skills/tile-ai/tilelang-ascend/tilelang-op-developnpx skills add tile-ai/tilelang-ascend --skill tilelang-op-developgit 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-op-develop)<a href="https://agentmods.dev/skills/tile-ai/tilelang-ascend/tilelang-op-develop"><img src="https://agentmods.dev/badge/skills/tile-ai/tilelang-ascend/tilelang-op-develop.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 | $0.00070 | $0.04813 |
| Opus 5 | $0.00035 | $0.02406 |
| Sonnet 5 | $0.00014 | $0.00963 |
| Haiku 4.5 | $0.00007 | $0.00481 |
Grade A, and why
tilelang-op-develop 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 5d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TileLang-Ascend 算子代码生成
基于设计文档（design.md）和已有示例，生成可运行的算子实现与测试。
1. 从 design.md 中提取的信息（只取这些）
design.md 可能很长，只提取以下字段，忽略其余内容：
| 提取字段 | 所在章节 | 用途 |
|---|---|---|
| 数学公式 | §1 概述 | 理解计算逻辑 |
| 算法步骤分解 | §1 算法描述 | 确定计算顺序 |
| API 映射表 | §3 API 映射设计 | 核心：每步用哪个 TileLang API |
| 伪代码 | §3 计算伪代码 | 核心：代码骨架 |
| 输入输出 shape 和 dtype | §4 数据规格 | 函数签名和测试数据 |
| block 大小 | §5 Tiling 策略 | 分块参数 |
| pass_configs | §7 同步策略 | JIT 配置 |
| Golden 函数 | §9.1 Golden 函数 | 测试对比基准 |
| 测试用例表 | §9.2 L0 门槛测试计划 | 测试配置 |
| 精度标准 | §9.3 精度标准 | 混合容差：atol / rtol / max_abs_error_limit / required_matched_ratio（按 dtype） |
| 路径性能可行性表 | §5/§6 | GM pass、DMA transaction、GM 标量访问、地址计算和并行度 |
| 性能可行性哨兵 | §9 | 每条路径最坏 dtype/最大任务数 case 与单 case 超时预算 |
明确忽略的内容（这些容易误导）：
- 模式选型的分析推理过程
- 内存预算的计算过程和多轮优化迭代
- 仅忽略没有量化证据的笼统风险；凡是包含具体 shape、dtype、超时、GM/DMA 成本或回退路径的风险必须提取并作为验收约束
- 交付清单（仅是文件列表）
- 任何标注为"待确认"的内容
2. 参考来源（优先级高于 design.md 伪代码）
当 design.md 伪代码与 examples/ 中同类实现有冲突时，以 examples/ 为准。
2.1 API 用法和模式选择
- API 用法：查阅 tilelang-api-best-practices SKILL.md 及其 references 目录
- 编程模式和 pass_configs：查阅 tilelang-programming-model-guide SKILL.md 及其 references 目录
2.2 同类算子示例
生成代码前，必须查阅 examples/ 中的同类算子：
| 算子类型 | 参考示例 |
|---|---|
| 逐元素运算（add/mul/sigmoid/relu） | examples/elementwise/、examples/activation/ |
| 归约运算（reduce_sum/max/min） | examples/reduce/ |
| 归一化（softmax/layernorm/rmsnorm） | examples/softmax/、examples/normalization/ |
| GEMM | examples/gemm/、examples/developer_mode/gemm_developer.py |
| 融合算子 | examples/flash_attention/、examples/pipeline/、examples/developer_mode/matmul_add_developer.py |
| Developer 模式 | examples/developer_mode/ |
| transpose / layout transform | examples/transpose/transpose.py（提取结构谓词、 |
| 连续 suffix-record 聚合搬运和通用 fallback；不得照抄具体 perm/shape 分支） |
查阅示例时关注：
- Kernel 结构：
T.Kernel参数、cid/vid用法 - Buffer 分配方式：shape 和 dtype
- pass_configs 配置：该类算子实际使用哪些开关
- 数据搬运：
T.copy的索引写法 - CV 交互（融合算子，按模式）：Developer 默认
threads=2+ 片上直连（无 workspace_idx）；Expert/混合或回退才看 workspace_idx、数量、shape
What ships with it
8 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.
- 5d ago First seen · 236 lines · 70 tokens per session scan A 9b9f4162ac85
tilelang-op-develop is a skill published in the GitHub repository tile-ai/tilelang-ascend (363 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 4,813 once invoked, about $0.0003 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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