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 standard-workflowgit 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/standard-workflow)<a href="https://agentmods.dev/skills/mindspore-ai/akg/standard-workflow"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/standard-workflow.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00396 |
| Opus 5 | $0.00010 | $0.00198 |
| Sonnet 5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
standard-workflow 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
标准算子生成工作流
概述
标准工作流是 AKG Agents 中最常用的算子生成流程，适用于大多数常规算子的开发场景。
工作流程
第1阶段：代码生成
- 使用coder-agent生成初始代码
- 支持多种DSL（CUDA、Triton等）
- 支持多种后端（NVIDIA、AMD等）
第2阶段：验证测试
- 使用verifier-agent进行验证
- 检查代码正确性
- 性能profiling
适用场景
- 常规算子：matmul, conv2d, softmax等
- 单一后端：只需要支持一种硬件
- 标准DSL：使用常见的编程语言
不适用场景
- 复杂的融合算子（建议使用adaptive-evolve）
- 需要多轮迭代优化的算子
- 实验性算子
配置示例
workflow: standard
agents:
- coder-agent
- verifier-agent
metrics:
- accuracy
- performance
成功案例
- ✅ MatMul CUDA实现
- ✅ Softmax Triton实现
- ✅ ReLU多后端实现
相关Skill
- 子Skill: coder-agent, verifier-agent
- 替代方案: adaptive-evolve (用于复杂场景)
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 · 69 lines · 20 tokens per session scan A c6ea9a877258
standard-workflow is a skill published in the GitHub repository mindspore-ai/akg (259 stars, last pushed 28d ago), licensed Apache-2.0. It adds 20 tokens to every session and 396 once invoked, about $0.0001 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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