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 mindspore-ai/akg --skill kernel-generatorgit clone --depth 1 https://github.com/mindspore-ai/akgWrote 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/mindspore-ai/akg/kernel-generator)<a href="https://agentmods.dev/skills/mindspore-ai/akg/kernel-generator"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/kernel-generator/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/mindspore-ai/akg/kernel-generator"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/kernel-generator.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 | $0.00061 | $0.03019 |
| Opus 5 | $0.00030 | $0.01510 |
| Sonnet 5 | $0.00012 | $0.00604 |
| Haiku 4.5 | $0.00006 | $0.00302 |
Grade A, and why
kernel-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
算子代码生成 Skill
工作模式
本 skill 根据输入自动判断工作模式：
| 模式 | 触发条件 | 行为 |
|---|---|---|
| 方案讨论 | user_requirements 是讨论性质（如"分析一下用什么策略"） |
加载参考文档 → 分析算子特征 → 输出方案建议（不生成代码文件） |
| 首次生成 | 无 previous_code |
加载参考文档 → 分析任务 → 生成代码 |
| 修复生成 | 有 previous_code + 有 verifier_error |
加载参考文档 → 分析错误 → 修复代码 |
| 纯修改 | 有 previous_code + 有 user_requirements + 无 verifier_error |
跳过参考文档 → 按用户需求修改代码 |
无论哪种模式，所有代码变更都必须通过本 skill 的代码生成步骤产出，禁止在 skill 外直接编辑代码文件。
生成流程
Step 1: 加载参考文档
纯修改模式跳过此步骤。 其余模式根据参数，用 read 工具读取参考文档。
本 skill 加载后，
<base_url>标签提供 skill 目录路径（记为$SD）。所有参考文档路径基于$SD/references/。⚠️ 参考文档路径下的文件虽然名为
SKILL.md，但在此上下文中它们是参考内容文件。请使用read工具按文件路径读取，不要使用skill工具加载。
1.1 代码生成格式规范（必加载）
始终加载，按 dsl + framework 选择对应文件（路径：$SD/references/format/）：
| dsl | framework | 文件名 |
|---|---|---|
triton_cuda / triton_ascend |
torch |
triton-torch.md |
triton_cuda / triton_ascend |
mindspore |
triton-mindspore.md |
cpp |
torch |
cpp-torch.md |
cuda_c |
torch |
cuda-c-torch.md |
torch（原生转换） |
torch |
torch-native.md |
1.2 硬件规格（按 arch 加载）
路径：$SD/references/hardware/{文件名}
| arch 前缀 | 文件名 |
|---|---|
a100 |
CUDA_A100.md |
h20 |
CUDA_H20.md |
l20 |
CUDA_L20.md |
rtx3090 |
CUDA_RTX3090.md |
ascend910b1 |
Ascend910B1.md |
ascend910b2 |
Ascend910B2.md |
ascend910b2c |
Ascend910B2C.md |
ascend910b3 |
Ascend910B3.md |
ascend910b4 |
Ascend910B4.md |
ascend310p3 |
Ascend310P3.md |
ascend910_9362 |
Ascend910_9362.md |
ascend910_9372 |
Ascend910_9372.md |
ascend910_9381 |
Ascend910_9381.md |
ascend910_9382 |
Ascend910_9382.md |
ascend910_9391 |
Ascend910_9391.md |
ascend910_9392 |
Ascend910_9392.md |
ascend950dt_95a |
Ascend950DT_95A.md |
ascend950pr_950z |
Ascend950PR_950z.md |
ascend950pr_9572 |
Ascend950PR_9572.md |
ascend950pr_9574 |
Ascend950PR_9574.md |
ascend950pr_9575 |
Ascend950PR_9575.md |
ascend950pr_9576 |
Ascend950PR_9576.md |
ascend950pr_9577 |
Ascend950PR_9577.md |
ascend950pr_9578 |
Ascend950PR_9578.md |
ascend950pr_9579 |
Ascend950PR_9579.md |
ascend950pr_957b |
Ascend950PR_957b.md |
ascend950pr_957d |
Ascend950PR_957d.md |
ascend950pr_9581 |
Ascend950PR_9581.md |
ascend950pr_9582 |
Ascend950PR_9582.md |
ascend950pr_9584 |
Ascend950PR_9584.md |
ascend950pr_9587 |
Ascend950PR_9587.md |
ascend950pr_9588 |
Ascend950PR_9588.md |
ascend950pr_9589 |
Ascend950PR_9589.md |
ascend950pr_958a |
Ascend950PR_958a.md |
ascend950pr_958b |
Ascend950PR_958b.md |
ascend950pr_9591 |
Ascend950PR_9591.md |
ascend950pr_9592 |
Ascend950PR_9592.md |
ascend950pr_9599 |
Ascend950PR_9599.md |
What ships with it
13 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.
- references/dsl-guides/cpp 59 B
- references/dsl-guides/cuda-c 62 B
- references/dsl-guides/pypto 61 B
- references/dsl-guides/tilelang-cuda 69 B
- references/dsl-guides/triton-ascend 69 B
- references/dsl-guides/triton-cuda 67 B
- references/format/cpp-torch.md 2.9 KB
- references/format/cuda-c-torch.md 3.0 KB
- references/format/torch-native.md 3.0 KB
- references/format/triton-mindspore.md 4.2 KB
- references/format/triton-torch.md 4.1 KB
- references/hardware 59 B
- references/triton-ascend-api 73 B
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.
- 9d ago First seen · 202 lines · 61 tokens per session scan A fe7abb44b567
kernel-generator is a skill published in the GitHub repository mindspore-ai/akg (259 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 61 tokens to every session and 3,019 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 2026-09-03.
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