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 xuiltul/animaworks --skill local-llm-toolgit clone --depth 1 https://github.com/xuiltul/animaworksWrote 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/xuiltul/animaworks/local-llm-tool)<a href="https://agentmods.dev/skills/xuiltul/animaworks/local-llm-tool"><img src="https://agentmods.dev/badge/skills/xuiltul/animaworks/local-llm-tool/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/xuiltul/animaworks/local-llm-tool"><img src="https://agentmods.dev/badge/skills/xuiltul/animaworks/local-llm-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00352 |
| Opus 5.5 | $0.00022 | $0.00141 |
| Sonnet 5.5 | $0.00011 | $0.00070 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
local-llm-tool 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 25d 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 LLM Tool
An external tool that performs text generation and chat via local LLMs (Ollama/vLLM）).
How to Call
Bash: Run with animaworks-tool local_llm <サブコマンド> [引数]
List of Actions
generate — Text Generation
animaworks-tool local_llm generate "プロンプト" [-S "システムプロンプト"]
chat — Chat (Multi-turn)
animaworks-tool local_llm chat [--messages JSON] [-S "システムプロンプト"]
models — List Models
animaworks-tool local_llm list
status — Check Server Status
animaworks-tool local_llm status
CLI Usage
animaworks-tool local_llm generate "プロンプト" [-S "システムプロンプト"]
animaworks-tool local_llm list
animaworks-tool local_llm status
Notes
- The Ollama server or vLLM server must be running
- -s/--server can be used to specify the server URL
- -m/--model can be used to specify the model
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.
- 25d ago Changed · +1 lines · +5 tokens per session e89089768ff0
- 1mo ago First seen · 52 lines · 50 tokens per session scan A b4f7ce2fe5bf
local-llm-tool is a skill published in the GitHub repository xuiltul/animaworks (268 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 352 once invoked, about $0.0002 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.
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