agentmods.dev

ai-for-science-proteinbert

ai-for-science-proteinbert is a skill for Claude Code, Codex from ascend-ai-coding/awesome-ascend-skills. It costs 76 tokens per session (2,895 once invoked), scanned A, original, no licence file.

A migration and deployment tool for ProteinBERT, a machine-learning model for working with protein sequences, on Ascend NPUs. It converts TensorFlow or Keras implementations to PyTorch with torchnpu and supports weight conversion, embeddings, fine-tuning, attention visualisation, and GPU-to-NPU accuracy checks.

In plain words
What is it for?
Use it to convert weights, extract protein embeddings, fine-tune the model, inspect attention, and compare GPU and NPU results.
Why use it?
It helps move an existing ProteinBERT implementation to Ascend hardware without rebuilding the model process from scratch.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/Ascend/ascend-toolkit/set_env.sh.

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

not rated 168repo +1 yesterday A scan 76 tokens no licence

Good fit Use it to convert weights, extract protein embeddings, fine-tune the model, inspect attention, and compare GPU and NPU results.

Compare 6 skills from other repositories ↓
View source ↗ ascend-ai-coding/awesome-ascend-skills
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add ascend-ai-coding/awesome-ascend-skills
Claude Code
/plugin install ascend-ai-for-science

Made for: Claude Code, Codex.

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-proteinbert

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/proteinbert"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/proteinbert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,895 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 $0.00076 $0.02895
Opus 5 $0.00038 $0.01448
Sonnet 5 $0.00015 $0.00579
Haiku 4.5 $0.00008 $0.00290

Measured 7d ago against content hash 43d20b28cf84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-for-science-proteinbert 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 19 executable files (scripts/demo_scripts/demo1_signalP_gpu.py, scripts/demo_scripts/demo1_signalP_npu.py, scripts/demo_scripts/demo2_all_benchmarks_gpu.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/proteinbert/SKILL.md · 238 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

22 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 · 238 lines · 76 tokens per session scan A 43d20b28cf84

Subscribe to this mod's changes

ai-for-science-proteinbert 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 76 tokens to every session and 2,895 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.

Data and AIHardware and IoTPyTorchTensorFlowai-for-scienceascendprotein-language-modelproteinbert
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