vector-triton-ascend-ops-optimizer

vector-triton-ascend-ops-optimizer is a skill for Claude Code, Codex from Ascend/agent-skills. It costs 126 tokens per session (2,353 once invoked), scanned A, original, MulanPSL-2.0.

A performance optimization guide for vector Triton operators on Ascend NPUs. It covers accelerator-specific techniques such as managing fast local memory, processing multiple tokens, and overlapping data movement with computation.

In plain words
What is it for?
It helps optimize vector operators through local-memory planning, parallel token processing, pipeline scheduling, and mask handling.
Why use it?
It helps improve operator speed when the default implementation does not use the NPU efficiently.

Skill for Claude CodeCodex

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

Good fit It helps optimize vector operators through local-memory planning, parallel token processing, pipeline scheduling, and mask handling.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer
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/agent-skills --skill vector-triton-ascend-ops-optimizer
Clone the repo
git clone --depth 1 https://github.com/Ascend/agent-skills

Made for: Claude Code, Codex.

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 vector-triton-ascend-ops-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer/github.svg)](https://agentmods.dev/skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer)
Your own site
<a href="https://agentmods.dev/skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer/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 vector-triton-ascend-ops-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/vector-triton-ascend-ops-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,353 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 $0.00126 $0.02353
Opus 5 $0.00063 $0.01177
Sonnet 5 $0.00025 $0.00471
Haiku 4.5 $0.00013 $0.00235

Measured 7d ago against content hash 5dfd5710d9c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

vector-triton-ascend-ops-optimizer 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.

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/vector-triton-ascend-ops-optimizer/SKILL.md · 129 lines

The source is not reproduced here

Licensed MulanPSL-2.0

The repository is licensed MulanPSL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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 · 129 lines · 126 tokens per session scan A 5dfd5710d9c4

Subscribe to this mod's changes

vector-triton-ascend-ops-optimizer is a skill published in the GitHub repository Ascend/agent-skills (40 stars, last pushed 4mo ago), licensed MulanPSL-2.0. It adds 126 tokens to every session and 2,353 once invoked, about $0.0006 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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