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-aclnn-operator-migrationgit 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-aclnn-operator-migration)<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/atb-aclnn-operator-migration"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/atb-aclnn-operator-migration/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-aclnn-operator-migration"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/atb-aclnn-operator-migration.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 | $0.00071 | $0.03005 |
| Opus 5 | $0.00036 | $0.01503 |
| Sonnet 5 | $0.00014 | $0.00601 |
| Haiku 4.5 | $0.00007 | $0.00300 |
Grade A, and why
external-gitcode-ascend-atb-aclnn-operator-migration 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 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.
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.
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 · 296 lines · 71 tokens per session scan A d9be8ce1840d
external-gitcode-ascend-atb-aclnn-operator-migration 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 71 tokens to every session and 3,005 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 2026-09-03.
Other skills, from other repositories
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-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-ops-to-aclnn-migration-workflow
A standard workflow for migrating ATB OPS implementations to ACLNN. It combines preparation, design documentation, CSV test-case planning, implementation, compilation, and testing into staged checkpoints.
atb-aclnn-operator-replacement-designer
A design-document generator for replacing an ATB operator with an ACLNN operator. It uses documentation for both interfaces to describe how their parameters correspond and how the replacement should be tested.
atb-debug-guide
A troubleshooting guide for ATB operator tests and setup. ATB is a software environment for testing computing operators, and an operator is a small piece of a machine-learning or numerical program.
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.