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 tubecreate/tubecli --skill ollama_managergit clone --depth 1 https://github.com/tubecreate/tubecliWrote 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/tubecreate/tubecli/ollama_manager)<a href="https://agentmods.dev/skills/tubecreate/tubecli/ollama_manager"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/ollama_manager/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/tubecreate/tubecli/ollama_manager"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/ollama_manager.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 | $0.00000 | $0.00403 |
| Opus 5 | $0.00000 | $0.00201 |
| Sonnet 5 | $0.00000 | $0.00081 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
ollama_manager 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 12d 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
Ollama Local Model Manager — AI Skill Guide
Extension: ollama
Manages local Ollama AI models for agents to use without cloud API keys.
Available Commands
Server Status
tubecli ollama status
List Models
tubecli ollama models
Pull Model
tubecli ollama pull qwen:latest
tubecli ollama pull llama3:8b
tubecli ollama pull gemma2:9b
Remove Model
tubecli ollama remove qwen:latest
Show Model Details
tubecli ollama show qwen:latest
List Running Models
tubecli ollama running
API Endpoints
| Method | Endpoint | Description |
|---|---|---|
| GET | /api/v1/ollama/status |
Server status |
| GET | /api/v1/ollama/models |
List models |
| GET | /api/v1/ollama/running |
List loaded models |
| POST | /api/v1/ollama/pull |
Pull model |
| DELETE | /api/v1/ollama/models |
Remove model |
| GET | /api/v1/ollama/models/{name} |
Model details |
| POST | /api/v1/ollama/assign |
Assign model to agent |
AI Usage
- Check if Ollama is running:
GET /api/v1/ollama/status - List available models:
GET /api/v1/ollama/models - If needed model not installed, pull it:
POST /api/v1/ollama/pull {"model": "qwen:latest"} - Assign to agent:
POST /api/v1/ollama/assign {"agent_id": "...", "model": "qwen:latest"}
What ships with it
13 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.
- __init__.py 177 B runs code
- commands.py 4.4 KB runs code
- extension.py 6.4 KB runs code
- locales/en.json 590 B
- locales/es.json 630 B
- locales/ja.json 734 B
- locales/ko.json 685 B
- locales/ru.json 722 B
- locales/tr.json 621 B
- locales/vi.json 668 B
- locales/zh-TW.json 602 B
- locales/zh.json 602 B
- routes.py 3.0 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.
- 12d ago First seen · 57 lines · 0 tokens per session scan A 958b71d43b47
ollama_manager is a skill published in the GitHub repository tubecreate/tubecli (167 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 403 tokens. 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.
Other skills, from other repositories
ollama_manager
Manages local Ollama AI models for agents to use without cloud API keys.
cloud_api
Manages cloud AI provider API keys for Gemini, OpenAI, Claude, DeepSeek, Grok.
multi_agents
Enables multi-agent collaboration through teams, task delegation, and coordinated workflows.
auth_manager
Manage OAuth credentials & tokens for Google, Facebook, TikTok.
Browser Automation
Core browser automation features including profile management, fingerprint spoofing, and AI interaction.
prompt-template-guide
A guide for viewing, creating, changing, deleting, and troubleshooting DeterminFlow prompt templates and system-prompt sections.