What is ascend-profiling-anomaly?

A tool for examining Huawei Ascend NPU profiling data, which records how work runs on an AI processor. It looks for unusual performance behavior and reconstructs details about the model’s architecture from profiling files.

Analyzing Ascend profiling traces and files such as kerneldetails.csv, traceview.json, and operation summaries, then producing a model architecture report.

It helps locate performance problems such as processor bottlenecks, idle periods, or delays between the host computer and the NPU.

ascend-profiling-anomaly — Skill for Claude Code and Codex by Ascend

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 ascend-profiling-anomaly

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ascend/agent-skills/ascend-profiling-anomaly/github.svg)](https://agentmods.dev/skills/ascend/agent-skills/ascend-profiling-anomaly)

Your own site

<a href="https://agentmods.dev/skills/ascend/agent-skills/ascend-profiling-anomaly"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/ascend-profiling-anomaly/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ascend/agent-skills/ascend-profiling-anomaly"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/ascend-profiling-anomaly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,049 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.

Model	Per session	Once invoked
Fable 5.1	$0.00172	$0.05049
Opus 5.5	$0.00069	$0.02020
Sonnet 5.5	$0.00034	$0.01010
Haiku 4.5	$0.00017	$0.00505

Measured 2mo ago against content hash 24440a3e66f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ascend-profiling-anomaly 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/reference_host_gap_branch.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/ascend-profiling-anomaly/SKILL.md · 417 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

5 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.

2mo ago First seen · 417 lines · 172 tokens per session scan A 24440a3e66f0

Subscribe to this mod's changes

ascend-profiling-anomaly is a skill published in the GitHub repository Ascend/agent-skills (55 stars, last pushed 6mo ago), licensed MulanPSL-2.0. It adds 172 tokens to every session and 5,049 once invoked, about $0.0007 per session on Opus 5.5. 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.

Analytics and metrics

ascend-profiling-anomaly next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ascend-profiling-anomalyAscend/agent-skills	Skill	55	6mo ago	MulanPSL-2.0	A	172	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	2d ago	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	today	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	315k	6d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code