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 ascend-ai-coding/awesome-ascend-skills --skill atb-nnal-installergit clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skillsWrote 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/ascend-ai-coding/awesome-ascend-skills/atb-nnal-installer)<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/atb-nnal-installer"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/atb-nnal-installer/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.
<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/atb-nnal-installer"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/atb-nnal-installer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00062 | $0.02383 |
| Opus 5 | $0.00031 | $0.01192 |
| Sonnet 5 | $0.00012 | $0.00477 |
| Haiku 4.5 | $0.00006 | $0.00238 |
Grade B, and why
external-gitcode-ascend-atb-nnal-installer scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo ./Ascend-cann-nnal_*.run --install --install-path=/usr/local/Ascend 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.
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 · 278 lines · 62 tokens per session scan B dc2e841f7cf0
external-gitcode-ascend-atb-nnal-installer is a skill published in the GitHub repository ascend-ai-coding/awesome-ascend-skills (167 stars, last pushed yesterday), with no licence file. It adds 62 tokens to every session and 2,383 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
atb-nnal-installer
An installation guide for the Ascend NPU NNAL acceleration library. It handles installing the NNAL package, setting its environment variables, and checking that it works.
cann-nnal-installer
An installation guide for Huawei Ascend CANN, a software toolkit for running applications on Ascend neural-processing hardware. It covers the CANN Toolkit, kernels, and NNAL components.
ascend-transformer-boost
An index of skills for developing with Huawei’s Ascend Transformer Boost (ATB) library. It groups eight skills covering CANN setup, ATB testing, operator replacement design, and migration to ACLNN for Ascend NPU development.
atb-aclnn-operator-migration
A workflow for migrating ATB operators to ACLNN on Huawei Ascend 910B and 950 devices. ATB and ACLNN are libraries for implementing computations on Ascend hardware.
ascend-docker
Create Docker containers for Huawei Ascend NPU development with proper device mappings and volume mounts. Use when setting up Ascend development environments in Docker, running CANN applications in containers, or creating isolated NPU development workspaces. Supports privileged mode (default), basic mode, and full…
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…