ai-for-science-generator

ai-for-science-generator is a skill for Claude Code from ascend-ai-coding/awesome-ascend-skills. It costs 74 tokens per session (1,091 once invoked), scanned A, original, no licence file.

A migration skill for moving DNA-sequence generation models from NVIDIA CUDA to Huawei Ascend NPUs. It covers setup, dependencies, code changes, multiprocessing, and sequence-recovery checks for models built with Hugging Face Transformers.

In plain words
What is it for?
Use it to adapt causal language models that generate DNA sequences, install their dependencies on Ascend, handle multiprocessing, and verify inference results.
Why use it?
It addresses the code and environment changes needed when a model written for CUDA must run on Ascend hardware. It also includes a way to check whether generated sequences remain recoverable after migration.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ascend-ai-for-science plugin — 14 skills shipped together , and of ai-for-science

Good fit Use it to adapt causal language models that generate DNA sequences, install their dependencies on Ascend, handle multiprocessing, and verify inference results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ascend-ai-coding/awesome-ascend-skills/generator
Install

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.

Any agent
npx skills add ascend-ai-coding/awesome-ascend-skills --skill generator
Clone the repo
git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills

Made for: Claude Code.

Or install ascend-ai-for-science, the plugin that ships this one along with the rest of its 14 skills.

Wrote 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.

agentmods badge for ai-for-science-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/generator/github.svg)](https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/generator)
Your own site
<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/generator"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/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.

agentmods 80×15 button for ai-for-science-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/generator"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,091 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01091
Opus 5 $0.00037 $0.00545
Sonnet 5 $0.00015 $0.00218
Haiku 4.5 $0.00007 $0.00109

Measured 7d ago against content hash 3accd1b48694, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-for-science-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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_generator_env.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/ai-for-science/models/generator/SKILL.md · 128 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

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.

Changes

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.

  1. 7d ago First seen · 128 lines · 74 tokens per session scan A 3accd1b48694

Subscribe to this mod's changes

ai-for-science-generator is a skill published in the GitHub repository ascend-ai-coding/awesome-ascend-skills (168 stars, last pushed yesterday), with no licence file. It adds 74 tokens to every session and 1,091 once invoked, about $0.0004 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 2026-09-05.

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