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 mathruffian-dot/claude-code-lazy-packs --skill 06-ollamagit clone --depth 1 https://github.com/mathruffian-dot/claude-code-lazy-packsWrote 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/mathruffian-dot/claude-code-lazy-packs/06-ollama)<a href="https://agentmods.dev/skills/mathruffian-dot/claude-code-lazy-packs/06-ollama"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/claude-code-lazy-packs/06-ollama/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/mathruffian-dot/claude-code-lazy-packs/06-ollama"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/claude-code-lazy-packs/06-ollama.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 | $0.00030 | $0.00197 |
| Opus 5 | $0.00015 | $0.00098 |
| Sonnet 5 | $0.00006 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
cc-ollama 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 11d 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
安裝本地 AI Ollama（Claude Code 版）
- 下載安裝：https://ollama.com/download
ollama --version- 拉取模型：
ollama pull llama3.2:latest或ollama pull gemma3:latest - 如需 GPU 加速確認：
ollama run llama3.2:latest "hello"
可選：加入 Claude Code MCP
若想讓 Claude 呼叫本地模型：
"mcpServers": { "ollama": { "command": "npx", "args": ["-y", "@ollama/mcp-server"] } }
回報：Ollama 版本、模型清單、GPU 狀態。
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.
- 11d ago First seen · 20 lines · 30 tokens per session scan A ca00004e2bd9
cc-ollama is a skill published in the GitHub repository mathruffian-dot/claude-code-lazy-packs (248 stars, last pushed 7d ago), licensed MIT. It adds 30 tokens to every session and 197 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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