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 diffusers-ascend-pipelinegit 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/diffusers-ascend-pipeline)<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/diffusers-ascend-pipeline"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/diffusers-ascend-pipeline/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/diffusers-ascend-pipeline"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/diffusers-ascend-pipeline.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 | $0.00134 | $0.04628 |
| Opus 5.5 | $0.00054 | $0.01851 |
| Sonnet 5.5 | $0.00027 | $0.00926 |
| Haiku 4.5 | $0.00013 | $0.00463 |
Grade A, and why
diffusers-ascend-pipeline 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 1mo 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 ships with it
9 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.
- references/api-navigation.md 2.0 KB
- references/distributed-inference.md 4.5 KB
- references/lora-guide.md 4.0 KB
- references/memory-optimization.md 4.6 KB
- references/troubleshooting.md 5.2 KB
- scripts/benchmark_pipeline.py 9.6 KB runs code
- scripts/run_context_parallel.py 7.4 KB runs code
- scripts/run_pipeline.py 9.5 KB runs code
- scripts/validate_pipeline.py 8.4 KB runs code
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.
- 1mo ago First seen · 489 lines · 134 tokens per session scan A 7d1f0d07495d
diffusers-ascend-pipeline is a skill published in the GitHub repository ascend-ai-coding/awesome-ascend-skills (177 stars, last pushed today), with no licence file. It adds 134 tokens to every session and 4,628 once invoked, about $0.0005 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 2026-09-05.
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