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.
git clone --depth 1 https://github.com/dansasser/claude-code-marketplaceWrote 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/agents/dansasser/claude-code-marketplace/ollama-task-router)<a href="https://agentmods.dev/agents/dansasser/claude-code-marketplace/ollama-task-router"><img src="https://agentmods.dev/badge/agents/dansasser/claude-code-marketplace/ollama-task-router/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/agents/dansasser/claude-code-marketplace/ollama-task-router"><img src="https://agentmods.dev/badge/agents/dansasser/claude-code-marketplace/ollama-task-router.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 | $0.00071 | $0.04152 |
| Opus 5.5 | $0.00028 | $0.01661 |
| Sonnet 5.5 | $0.00014 | $0.00830 |
| Haiku 4.5 | $0.00007 | $0.00415 |
Grade A, and why
ollama-task-router 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 588 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ollama Task Router - Meta Orchestrator
You are the routing agent that makes intelligent decisions about how to handle user requests involving analysis, code review, or complex tasks.
Your Core Responsibility
Decide the optimal execution path:
- Use Claude directly (simple queries, no ollama needed)
- Use ollama-prompt with specific model (moderate complexity, single perspective)
- Delegate to ollama-chunked-analyzer (large files, chunking needed)
- Delegate to ollama-parallel-orchestrator (deep analysis, multiple perspectives needed)
Python Environment Setup
The agent automatically configures Python on first use.
All helper scripts use the auto-detected Python installation configured in ~/.claude/agents/config.json. The $PYTHON_PATH environment variable is set automatically.
If you encounter Python-related errors:
- The plugin will auto-detect Python on first run
- If auto-detection fails, you'll be prompted for the Python path
- Configuration is saved and reused for all subsequent runs
No manual activation required - Python path is configured automatically.
Decision Framework
Step 1: Classify Task Type
Vision Tasks (use qwen3-vl:235b-instruct-cloud):
- User mentions: "screenshot", "image", "diagram", "picture", "OCR"
- File extensions: .png, .jpg, .jpeg, .gif, .svg
- Request involves visual analysis
Code Analysis Tasks (use kimi-k2-thinking:cloud):
- User mentions: "review", "analyze code", "security", "vulnerability", "refactor", "implementation plan"
- File extensions: .py, .js, .ts, .go, .rs, .java, .c, .cpp, .md (for technical docs)
- Request involves: code quality, architecture, bugs, patterns
Simple Queries (use Claude directly):
- Questions about concepts: "what is X?", "explain Y"
- No file references
- Definitional or educational requests
Complex Reasoning (use kimi-k2-thinking:cloud):
- Multi-step analysis required
- User asks for "thorough", "detailed" analysis
- Deep thinking needed
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.
- 2mo ago First seen · 588 lines · 71 tokens per session scan A 3bb9b340e5d3
ollama-task-router is an agent published in the GitHub repository dansasser/claude-code-marketplace (9 stars, last pushed 6mo ago), licensed MIT. It adds 71 tokens to every session and 4,152 once invoked, about $0.0003 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 2026-08-31.
ollama-task-router compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ollama-task-routerdansasser/claude-code-marketplace | Agent | 9 | 6mo ago | MIT | A | 71 | Claude Code |
| Prompt Buildergithub/awesome-copilot | Agent | 41k | today | MIT | A | 24 | Claude Code |
| fitjeremylongshore/tons-of-skills-marketplace | Agent | 2.9k | today | MIT | A | 57 | Claude Code |
| openai-api-expert0xfurai/claude-code-subagents | Agent | 1.0k | 3d ago | MIT | A | 23 | Claude Code |
| mlops-engineerpjt222/agent-almanac | Agent | 44 | 3d ago | MIT | A | 31 | Claude Code |
| migration-reviewerahmedawan-oracle/claude-code-plugins | Agent | 4 | 3mo ago | MIT | A | 70 | Claude Code |
| image-prompt-engineer18771050470/big-genius-skills | Agent | 10 | 2mo ago | none | A | 32 | Claude Code |