Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/deploy-ollama-anythingllm)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/deploy-ollama-anythingllm"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/deploy-ollama-anythingllm/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/seeed-projects/seeed-jetson-developtool/deploy-ollama-anythingllm"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/deploy-ollama-anythingllm.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 | $0.00037 | $0.00296 |
| Opus 5 | $0.00018 | $0.00148 |
| Sonnet 5 | $0.00007 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
deploy-ollama-anythingllm 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 10d 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.
What it actually says
Local AI Assistant
Execution model
- Confirm board model and JetPack/L4T version before applying commands.
- Read
references/source.body.mdfirst to extract prerequisites and command order. - Execute steps in smallest reproducible sequence and record command outputs.
- Validate final expected results and keep rollback notes.
Source
- Original markdown:
/home/darklee/tmp/jetson-develop/refer-参考完后会清除/Application/Generative_AI/Deploy_Ollama_and_AnythingLLM_on_Jetson.md - Scope:
application(Generative_AI)
Topic summary
Local AI Assistant is an artificial intelligence application that runs on local hardware and software, offering intelligent interaction and data processing capabilities. It operates independently of cloud services, protecting user privacy while providing quick
Key sections
- Introduction
- Prerequisites
- Getting Started
- Effect Demonstration
- References
- Tech Support & Product Discussion
Reference files
references/source.mdreferences/source.body.md
Agent instruction
- Do not skip prerequisite checks.
- If command output differs from expected behavior, pause and ask user before destructive steps.
- Prefer reversible changes and include verification commands.
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.
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.
- 10d ago First seen · 37 lines · 37 tokens per session scan A 58d28221163b
deploy-ollama-anythingllm is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 296 once invoked, about $0.0002 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 2026-08-30.
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